Best Researcher Award
| Saeed Anwar |
| Affiliation |
Northeast Normal University |
| Country |
China |
| Scopus ID |
59257959900 |
| Documents |
1 |
| Citations |
14 |
| h-index |
1 |
| Subject Area |
Centrality Measures and Network Flow Analysis |
| Event |
International Research Awards on Network Science & Graph Analytics |
| ORCID |
0009-0009-7026-2130 |
Saeed Anwar
Northeast Normal University, China
Saeed Anwar is affiliated with Northeast Normal University China and has contributed to interdisciplinary research involving psychological health, behavioral science, and network-oriented analytical methodologies. His scholarly work demonstrates engagement with evidence-based mental health studies and network analysis approaches applied to psychological symptom structures and healthcare outcomes. The researcher has participated in collaborative publications addressing postpartum depression, obsessive-compulsive disorder, and cognitive-behavioral dimensions associated with psychological disorders.[1]
Abstract
This article summarizes the academic profile and scholarly activities of Saeed Anwar in the areas of psychological research, symptom network analysis, and evidence-based mental health investigation. His publications address postpartum depression, obsessive-compulsive disorder, and cognitive symptom relationships through analytical frameworks associated with network science and behavioral assessment methodologies.[2]
Keywords
Network Analysis, Psychological Health, OCD Research, Postpartum Depression, Behavioral Science, Mental Health Analytics, Symptom Centrality, Clinical Psychology.
Introduction
Recent developments in network science have enabled researchers to evaluate psychological symptoms as interconnected systems rather than isolated conditions. Saeed Anwar has contributed to this evolving research direction by participating in studies examining central nodes, metacognitive beliefs, and risk factors associated with mental health conditions. His research reflects interdisciplinary integration between psychology, statistical modeling, and network-oriented analytical methods.[1]
Research Profile
The research profile of Saeed Anwar includes publications in peer-reviewed journals related to psychology and mental health sciences. His work addresses symptom dimensions in obsessive-compulsive disorder and postpartum depression risk factors in Asian cultural settings. The available citation metrics indicate emerging scholarly visibility in applied psychological research and network-based symptom analysis.[2]
Research Contributions
- Contributed to systematic review research on postpartum depression within Asian cultural contexts.
- Applied network analysis techniques to identify central symptom nodes in obsessive-compulsive disorder.
- Participated in interdisciplinary collaborations involving psychological assessment and behavioral analytics.
Publications
Research Impact
The available research indicators report 14 citations and an h-index of 1, reflecting early-stage academic influence within psychological and behavioral research domains. The application of network analysis methods in mental health investigations demonstrates methodological relevance to contemporary interdisciplinary research.[1]
Award Suitability
Saeed Anwar’s research profile aligns with the objectives of the International Research Awards on Network Science & Graph Analytics through the use of network analysis in psychological and behavioral studies. His work contributes to the understanding of interconnected symptom systems and analytical approaches relevant to centrality and network flow analysis in healthcare contexts.[2]
Conclusion
The academic contributions of Saeed Anwar reflect emerging engagement with interdisciplinary psychological research and network-oriented methodologies. His publications demonstrate continued interest in behavioral analytics, mental health assessment, and evidence-based approaches associated with network science applications in psychology.
External Links
References
- Elsevier. (n.d.). Scopus author details: Saeed Anwar, Author ID 59257959900. Scopus. https://www.scopus.com/authid/detail.uri?authorId=59257959900
- Anwar, S., et al. (2026). Metacognitive Beliefs and Symptom Dimensions in OCD: A Network Analysis Identifying Central Nodes and a Severity Predictor. Clinical Psychology & Psychotherapy. https://doi.org/10.1002/cpp.70287