Edward Kimani|Innovative Research Award|Graph Theory

Innovative Research Award

Edward Kimani
Institute of Pensions Management

Edward Kimani
Affiliation Institute of Pensions Management
Country Kenya
Documents 1
Subject Area Graph Theory
Event International Research Awards on Network Science & Graph Analytics
ORCID 0000-0002-6269-6694

Edward Kimani is identified in the supplied profile information as being affiliated with The Real IPM and associated with the subject area of biological sciences. The profile lists one research document and provides an ORCID identifier for researcher identification. This article presents the available information in the context of the Innovative Research Award and the International Research Awards on Network Science & Graph Analytics. Specific publication details, citation metrics, and independently verified research achievements have not been supplied and are therefore not inferred here.

Abstract

This article documents the available professional profile information for Edward Kimani, whose stated institutional affiliation is The Real IPM and whose subject area is biological sciences. The supplied information records one research document and an ORCID identifier that can be used to distinguish the researcher from other individuals with similar names. The profile is presented in connection with the Innovative Research Award and the International Research Awards on Network Science & Graph Analytics. The available information does not establish the title or content of the reported document, citation counts, h-index, or specific research outcomes. Further assessment of research contributions would require publication records and supporting evidence from reliable academic or institutional sources.

Keywords

Edward Kimani; Innovative Research Award; The Real IPM; biological sciences; research recognition; scientific innovation; research profile; ORCID; academic contributions; network science; graph analytics.

Introduction

Research recognition provides a means of highlighting scientific work, professional development, and contributions to a field of study. In biological sciences, research may address biological systems, organisms, agricultural applications, pest management, environmental interactions, and other areas of life science. The relevance of any particular contribution depends on the research question, the quality of the methods, the strength of the evidence, and the significance of the findings.

Edward Kimani is listed in the supplied information as affiliated with The Real IPM. The profile identifies biological sciences as the relevant subject area and associates the researcher with the Innovative Research Award. The award event is named the International Research Awards on Network Science & Graph Analytics. Although biological research can intersect with network science through ecological networks, biological interaction networks, and analytical modelling, no specific connection between these topics and Kimani’s research has been established by the information currently available.

Research Profile

The available profile provides a limited set of identifying and bibliographic details. The institutional affiliation is stated as The Real IPM, the subject area is biological sciences, and the reported document count is one. The supplied ORCID identifier offers a persistent researcher identifier that can support the verification of publications and professional records. ORCID registration alone, however, does not establish the authorship of a particular publication or independently validate an award claim. [1]

The reported document count should be interpreted as information supplied for this article rather than as a comprehensive or independently verified bibliometric assessment. Researcher profiles can differ across indexing services because of name variations, author disambiguation, database coverage, and differences in the records included in each source.

Research Contributions

Biological sciences encompass a broad range of research approaches, including experimental investigation, field studies, laboratory analysis, ecological assessment, and data-driven modelling. The contribution of an individual researcher can be evaluated by examining the originality of the research question, the appropriateness of the methodology, the reliability of the findings, and the relevance of the work to scientific understanding or practical applications.

For Edward Kimani, the supplied information identifies the broad disciplinary area but does not include a publication title, abstract, dataset, research project description, patent, or documented finding. Consequently, specific scientific achievements cannot be attributed to the researcher on the basis of the current profile alone. A complete account of research contributions should be developed from verifiable publications, institutional records, project documentation, or other relevant primary sources.

Where the documented work involves biological networks or quantitative analysis, relevant evidence might include the formulation of a research model, the analysis of interactions among biological entities, the validation of analytical methods, or the application of findings to a practical problem. These are general examples of possible research contributions and are not claims about Kimani’s specific work.

Publications

The supplied profile reports one research document. However, the document’s title, author list, publication venue, publication year, DOI, and abstract have not been provided. The document therefore cannot be described or cited as a specific scholarly publication in this article.

To establish a reliable publication record, the relevant bibliographic information should be checked against the publisher’s page, an appropriate scholarly indexing service, and the researcher’s persistent identifier where available. A DOI should be included only when a verified identifier exists for the work. Citation counts and other bibliometric indicators should likewise be reported with their source and retrieval date because they may vary between databases. [1]

No DOI citation is included here because no specific publication or DOI was supplied. This avoids attributing an unrelated publication or an unverified research output to the researcher.

Research Impact

Research impact may be assessed through several complementary forms of evidence. Scholarly indicators can include citations, publication quality, collaboration, and the use of research findings by other investigators. Practical impact may be demonstrated through adoption in professional practice, documented improvements to processes, technological development, environmental benefits, or contributions to policy and public understanding.

The available information does not include citation statistics, an h-index, independent evaluations, or documented examples of practical outcomes associated with Edward Kimani. It is therefore not possible to quantify the researcher’s impact or compare it reliably with that of other researchers. The reported document count alone is insufficient to establish research quality, originality, or influence.

A more comprehensive impact assessment would require verified publication records, relevant citation data, evidence of research uptake, and documented contributions to the researcher’s stated field. Such evidence would support a balanced evaluation of scholarly outputs alongside practical or professional achievements.

Award Suitability

The Innovative Research Award is the recognition category specified for this article. The named event, International Research Awards on Network Science & Graph Analytics, provides the stated context for the profile. The information supplied identifies the researcher’s institutional affiliation, subject area, reported document count, and ORCID identifier, but it does not include official award criteria, a completed evaluation, or a verified record of selection.

A transparent assessment of award suitability should consider evidence relevant to the official criteria established by the award organizers. Depending on those criteria, a review may examine:

  • Originality and significance of the research contribution.
  • Methodological rigor, reproducibility, and quality of supporting evidence.
  • Verified scholarly outputs and documented research achievements.
  • Relevance to biological sciences and, where applicable, connections to network science or graph analytics.
  • Evidence of practical value, collaboration, knowledge sharing, or broader scientific impact.
  • Compliance with the award’s published eligibility and submission requirements.

These points are general considerations for scholarly evaluation and should not be interpreted as the event’s confirmed eligibility rules or as a completed assessment of the researcher. The final determination of eligibility, nomination status, and award outcome rests with the organizers and their documented evaluation process. Further details can be sought from the official award website.

Conclusion

Edward Kimani’s supplied profile identifies an affiliation with The Real IPM, a subject area in biological sciences, one reported research document, and an ORCID identifier. These details provide a starting point for documenting the researcher’s professional profile in connection with the Innovative Research Award and the International Research Awards on Network Science & Graph Analytics.

A fuller scholarly account requires verified publication details, documented research contributions, and reliable evidence of research impact. Citation statistics, h-index values, specific achievements, and award outcomes have not been inferred in the absence of supporting information. Maintaining this distinction between supplied profile details and independently verified evidence supports accurate and responsible academic recognition.

References

    1. ORCID. (n.d.). ORCID record and persistent researcher identifier for Edward Kimani. The identifier was supplied for this profile; its record contents and associated works should be checked directly before making further claims.
      https://orcid.org/0000-0002-6269-6694
    2. International Research Awards on Network Science & Graph Analytics. (n.d.). Official award website. Event information and applicable award criteria should be confirmed through the organizer’s published materials.
      https://networkscience-conferences.researchw.com/

Meaad Almusined | Innovative Research Award | Biomarkers

Innovative Research Award

Meaad Almusined
King Saud University,

Meaad Almusined
Affiliation King Saud University
Country Saudi Arabia
Scopus ID 59441365900
Documents 6
Citations 8
h-index 1
Subject Area Biomarkers
Event International Research Awards on Network Science & Graph Analytics
ORCID 0009-0003-5922-6549

Meaad Almusined is a researcher affiliated with King Saud University in Saudi Arabia whose documented research profile is associated with the subject area of biomarkers. The available researcher metrics provided for this recognition profile include six documents, eight citations, and an h-index of 1. These indicators provide a bibliometric snapshot of the research record and should be interpreted in the context of publication age, field-specific citation practices, collaboration patterns, and database coverage. [1]

Abstract

This academic recognition profile presents the research record of Meaad Almusined of King Saud University, Saudi Arabia, with particular reference to the subject area of biomarkers. The supplied bibliometric information records six documents, eight citations, and an h-index of 1. The profile is presented in the context of the Innovative Research Award associated with the International Research Awards on Network Science & Graph Analytics. The information summarizes the available research identifiers and publication-related indicators without extending beyond the documented profile data.

Keywords

  • Meaad Almusined
  • Biomarkers
  • King Saud University
  • Innovative Research Award
  • Research evaluation
  • Bibliometrics
  • Research impact
  • Academic recognition

Introduction

Biomarker research encompasses the identification, characterization, and application of measurable biological indicators that can support scientific investigation and, depending on the research context, the study of physiological or pathological processes. Researchers working in this area may contribute through experimental studies, analytical approaches, validation of candidate biomarkers, or interdisciplinary research. Meaad Almusined’s supplied academic profile identifies biomarkers as the principal subject area associated with the recognition record presented on this page.

Bibliometric indicators can assist in describing a researcher’s publication and citation history, although they do not independently measure the complete scientific value of individual studies. Scopus author records, for example, provide publication and citation information that can be used as one component of research-profile documentation. [1]

Research Profile

The supplied profile identifies Meaad Almusined as affiliated with King Saud University in Saudi Arabia and associates the researcher with biomarker research. The profile contains a Scopus Author ID of 59441365900 and an ORCID identifier of 0009-0003-5922-6549. These persistent identifiers can help distinguish an individual researcher from other authors with similar names and provide routes to independently inspect research records. [1] [2]

The associated Google Scholar profile is identified by the supplied Scholar identifier EGRy5T8AAAAJ. Together, the available identifiers provide complementary avenues for examining scholarly output, citation information, and researcher attribution.

Research Contributions

The documented subject area for this recognition profile is biomarkers. On the basis of the supplied information, the research record can therefore be described as belonging to a biomarker-focused scholarly domain. Specific research contributions, study findings, methodologies, datasets, or individual projects have not been supplied in the profile data and are not inferred here.

For an evidence-based assessment of individual contributions, the relevant publications should be reviewed for research questions, methodology, originality, reproducibility, findings, collaboration, and subsequent scholarly use. Such an assessment is distinct from relying solely on aggregate bibliometric indicators.

Publications

The supplied research profile records six documents and eight citations. These figures are presented as the available bibliometric snapshot for the researcher and may change as additional publications are indexed or citation records are updated. [1]

Individual publication titles, journal information, publication dates, co-authors, and DOI identifiers were not provided in the source information supplied for this article. Consequently, no specific publication or DOI is attributed to the researcher without a verifiable bibliographic record.

Research Impact

The available bibliometric indicators comprise eight citations and an h-index of 1 across six documented documents. These metrics provide a quantitative description of indexed scholarly activity but should be considered alongside the characteristics of the research field, publication chronology, authorship, venue, and the substantive contribution of individual studies. [1]

The ORCID and Google Scholar identifiers provide additional mechanisms for examining the researcher’s scholarly record. ORCID is designed to provide a persistent identifier for researchers, while Google Scholar provides a searchable scholarly profile and citation-oriented information. [2] [3]

Award Suitability

The Innovative Research Award profile recognizes a research record associated with biomarker research. The supplied evidence establishes an affiliation with King Saud University, a documented subject area, six research documents, eight citations, and an h-index of 1. These details can form part of an award-review dossier when considered together with the underlying publications and other evidence of research contribution.

A comprehensive award assessment should consider the originality and significance of the research, methodological quality, documented scholarly contributions, relevance to the award criteria, collaboration, research outputs, and evidence of influence. The available profile metrics alone should not be interpreted as a complete assessment of research quality or innovation.

Conclusion

Meaad Almusined’s supplied academic recognition profile identifies King Saud University as the institutional affiliation and biomarkers as the principal subject area. The documented research snapshot contains six documents, eight citations, and an h-index of 1, together with Scopus, ORCID, and Google Scholar identifiers. The profile provides a concise basis for documenting the researcher’s scholarly record in connection with the Innovative Research Award while maintaining a distinction between bibliometric evidence and broader qualitative evaluation.

References

  1. Elsevier. (n.d.). Scopus author details: Meaad Almusined, Author ID 59441365900. Scopus.https://www.scopus.com/authid/detail.uri?authorId=59441365900
  2. ORCID. (n.d.). ORCID record: Meaad Almusined, ORCID iD 0009-0003-5922-6549. ORCID.https://orcid.org/0009-0003-5922-6549
  3. Google Scholar. (n.d.). Google Scholar profile: Meaad Almusined.https://scholar.google.com/citations?user=EGRy5T8AAAAJ&hl=en&oi=sra
  4. International Research Awards on Network Science & Graph Analytics. (n.d.). Award website.https://networkscience-conferences.researchw.com/

Bibliometric values and researcher-profile information presented on this page reflect the supplied profile data and may change as scholarly databases are updated. No DOI has been assigned to a reference in this article because no researcher-specific DOI-bearing publication was supplied for verification.

Xixu Peng | Biological Network | Research Excellence Award

Prof. Xixu Peng | Biological Network | Research Excellence Award

Hunan University of Science and Technology | China

Prof. Xixu Peng is a distinguished academic and researcher in the field of plant sciences at Hunan University of Science and Technology. He earned his Bachelor’s degree in Biological Education from the College of Life Sciences at Hunan University of Science and Technology (1995–1999) and later completed his Master’s degree in Ecology at Hunan Agricultural University (2002–2005). To further enhance his international research exposure, he served as a Visiting Scholar at The Ohio State University, USA, within the Department of Horticulture and Crop Science and the Center for Applied Plant Sciences (2016–2017). Prof. Peng began his academic career as a Teaching Assistant in 2005 and progressed through the ranks of Lecturer and Associate Professor before being promoted to Professor in 2022. He currently serves as the Head of the Master’s Program in Biological Education. His research focuses on plant resistance physiology and molecular biology, plant–microbe interactions, and the identification and detection of phytopathogenic fungi.

Citation Metrics (Scopus)

650
300
100
50
0

Citations
524

Documents
23

h-index
8

Citations

Documents

h-index


View Scopus Profile

Featured Publications

Nikhil Sudhir Sathe | Biological Networks | Best Researcher Award

Dr. Nikhil Sudhir Sathe | Biological Networks | Best Researcher Award

Reliance Life Sciences Pvt Ltd | India

Dr. Nikhil Sudhir Sathe (PhD), currently associated with Laboratory Animal Research Services (LARS), is a distinguished researcher with over 20 years of expertise in drug discovery and preclinical evaluation of new chemical entities. His extensive professional experience encompasses in vitro genotoxicology, cell and microbial culture (aerobic, anaerobic, and viral systems including rabies virus), and small laboratory animal studies. Throughout his career at Reliance Life Sciences, Vimta Labs, Dabur Research Centre, and Wockhardt Research Centre, Dr. Sathe has demonstrated exceptional proficiency in GLP-compliant laboratory practices, including bacterial reverse mutation, chromosomal aberration, micronucleus, ELISA, cytotoxicity, and microbial monitoring assays. His early research contributions involved innovative in vitro models for evaluating the efficacy of antimicrobial and cosmetic products. Academically, he holds a Master’s and Bachelor’s degree in Microbiology from Shivaji University, Kolhapur, both with distinction. Dr. Sathe has contributed significantly to scientific literature with publications in reputed journals such as Vaccine, Microbial Pathogenesis, Infectious Medicine, and BioMed, focusing on bacteriophage therapy and vaccine development against multidrug-resistant pathogens and SARS-CoV-2. His scholarly achievements are complemented by active participation in national conferences and workshops, reflecting his deep commitment to advancing microbiological and biomedical research.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Unveiling Lytic Bacteriophages as Promising Biotherapeutics for the Control of Multidrug-Resistant Pseudomonas aeruginosa", CS Nikhil Sathe, Eugene Athan, Arnab Kapat, BioMed, 2025.

"Safety, immunogenicity and efficacy of Relcovax®, a dual receptor binding domain (RBD) and nucleocapsid (N) subunit protein vaccine candidate against SARS-CoV-2 virus", N Sathe, S Shaikh, M Bhavsar, L Parte, A Gadiparthi, S Kad, S Sensarma, Vaccine, 2024.

"Bacteriophage vB_kpnS-Kpn15: Unveiling its potential triumph against extended-spectrum beta-lactamase-producing Klebsiella pneumoniae-Unraveling efficacy through innovative", N Sathe, C Suphioglu, E Athan, A Kapat, Microbial Pathogenesis, 2024.

"Pseudomonas aeruginosa: Infections and novel approaches to treatment “Knowing the enemy” the threat of Pseudomonas aeruginosa and exploring novel approaches to treatment", N Sathe, P Beech, L Croft, C Suphioglu, A Kapat, E Athan, Infectious medicine 2, 2023.

"Development of a novel therapy using bacteriophages: An alternative to antibiotics", NS Sathe, Deakin University, 2023.

Nurulhasanah Othman | Technological Networks | Best Researcher Award

Dr. Nurulhasanah Othman | Technological Networks | Best Researcher Award

University of Science | Malaysia

Dr. Nurulhasanah Othman is a distinguished researcher recognized for her extensive contributions in the fields of molecular parasitology, proteomics, and infectious disease research. As a Principal Investigator and Co-Researcher on numerous national and university-funded projects, her work reflects a deep commitment to advancing biomedical science and public health. She currently leads a national grant project under the Ministry of Education Malaysia (Kementerian Pendidikan Malaysia) focusing on elucidating the potential inhibitory roles of dextromethorphan and azathioprine targeting Rho GTPase to combat metronidazole-resistant E. histolytica HM1-IMSS (MTZR). Her collaborative projects span a range of innovative studies, including comparative proteome profiling in cervical cancer tissues, identification of immunogenic proteins in G. duodenalis, exploration of antibody profiles in Strongyloides stercoralis, and the development of novel multiplex qPCR assays for triple-negative breast cancer markers. Dr. Nurulhasanah has also served as the Principal Investigator for multiple University Sains Malaysia (USM) research grants, including investigations into pyrethroid resistance in Aedes aegypti, proteomic analyses of Entamoeba histolytica for vaccine development, and protein detection studies using MALDI-TOF/TOF technology. As a Co-Researcher, she has contributed to large-scale genome projects, such as the genomic and proteomic analyses of Malaysian mangrove crab species and horseshoe crabs, as well as molecular diagnostic assay development for Leptospira spp. detection. Through her leadership and interdisciplinary collaborations, Dr. Nurulhasanah has made significant strides in proteomic-based pathogen research, genomic studies, and the pursuit of novel molecular tools for disease control and therapeutic innovation.

Profiles: Orcid ID | Scopus

Featured Publications

"Application of Proteomics to the Study of the Therapeutics and Pathogenicity of Giardia duodenalis"

"Entamoeba histolytica: Membrane and Non-Membrane Protein Structure, Function, Immune Response Interaction, and Vaccine Development"

"A Review: Natural and Synthetic Compounds Targeting Entamoeba histolytica and Its Biological Membrane"

"Evaluation of Total Female and Male Aedes aegypti Proteomes Reveals Significant Predictive Protein–Protein Interactions, Functional Ontologies, and Differentially Abundant Proteins"

"Entamoeba histolytica: Proteomics Bioinformatics Reveal Predictive Functions and Protein–Protein Interactions of Differentially Abundant Membrane and Cytosolic Proteins"