Anzar Abbas

676 total citations
20 papers, 351 citations indexed

About

Anzar Abbas is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Anzar Abbas has authored 20 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 7 papers in Psychiatry and Mental health and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Anzar Abbas's work include Neural dynamics and brain function (8 papers), Functional Brain Connectivity Studies (8 papers) and Photoreceptor and optogenetics research (3 papers). Anzar Abbas is often cited by papers focused on Neural dynamics and brain function (8 papers), Functional Brain Connectivity Studies (8 papers) and Photoreceptor and optogenetics research (3 papers). Anzar Abbas collaborates with scholars based in United States, Belgium and Germany. Anzar Abbas's co-authors include Shella Keilholz, Michaël E. Belloy, Isaac R. Galatzer‐Levy, Vijay Yadav, Jacob Billings, Maysam Nezafati, Annemie Van der Linden, Marleen Verhoye, Georgios A. Keliris and Disha Shah and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Anzar Abbas

20 papers receiving 344 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anzar Abbas United States 11 211 82 79 41 36 20 351
Mieke H. J. Schulte Netherlands 12 109 0.5× 86 1.0× 27 0.3× 73 1.8× 85 2.4× 21 425
Eleanna Varangis United States 11 264 1.3× 139 1.7× 76 1.0× 14 0.3× 59 1.6× 19 459
Redwan Maatoug France 10 47 0.2× 48 0.6× 37 0.5× 48 1.2× 41 1.1× 26 351
David E. Stark United States 7 317 1.5× 27 0.3× 193 2.4× 12 0.3× 40 1.1× 8 578
Jorge Mario Rodríguez-Fernández United States 9 71 0.3× 32 0.4× 21 0.3× 10 0.2× 82 2.3× 20 320
Virginia S. Haynes United States 11 156 0.7× 54 0.7× 29 0.4× 5 0.1× 198 5.5× 24 410
H. Lau United States 7 193 0.9× 34 0.4× 25 0.3× 40 1.0× 30 0.8× 13 364
C. Forbes Canada 3 177 0.8× 85 1.0× 45 0.6× 6 0.1× 46 1.3× 4 321
Jacob Kantrowitz United States 6 82 0.4× 43 0.5× 17 0.2× 10 0.2× 107 3.0× 7 277
Kelly Rootes-Murdy United States 8 60 0.3× 26 0.3× 15 0.2× 12 0.3× 78 2.2× 18 164

Countries citing papers authored by Anzar Abbas

Since Specialization
Citations

This map shows the geographic impact of Anzar Abbas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anzar Abbas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anzar Abbas more than expected).

Fields of papers citing papers by Anzar Abbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anzar Abbas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anzar Abbas. The network helps show where Anzar Abbas may publish in the future.

Co-authorship network of co-authors of Anzar Abbas

This figure shows the co-authorship network connecting the top 25 collaborators of Anzar Abbas. A scholar is included among the top collaborators of Anzar Abbas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anzar Abbas. Anzar Abbas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yadav, Vijay, et al.. (2025). LLM-based speaker diarization correction: A generalizable approach. Speech Communication. 170. 103224–103224. 3 indexed citations
2.
Yadav, Vijay, Isaac R. Galatzer‐Levy, Tejal Patel, et al.. (2025). Measurement of schizophrenia symptoms through speech analysis from PANSS interview recordings. Frontiers in Psychiatry. 16. 1571647–1571647. 1 indexed citations
3.
Yadav, Vijay, et al.. (2024). 172. OpenWillis: An Open-Source Python Library for Digital Health Measurement. Biological Psychiatry. 95(10). S169–S170. 2 indexed citations
4.
Abbas, Anzar, Bryan J. Hansen, Vijay Yadav, et al.. (2021). Facial and Vocal Markers of Schizophrenia Measured Using Remote Smartphone Assessments: Observational Study. JMIR Formative Research. 6(1). e26276–e26276. 26 indexed citations
5.
Galatzer‐Levy, Isaac R., Anzar Abbas, Stephanie Homan, et al.. (2021). Validation of Visual and Auditory Digital Markers of Suicidality in Acutely Suicidal Psychiatric Inpatients: Proof-of-Concept Study. Journal of Medical Internet Research. 23(6). e25199–e25199. 14 indexed citations
6.
Abbas, Anzar, et al.. (2021). Remote Digital Measurement of Facial and Vocal Markers of Major Depressive Disorder Severity and Treatment Response: A Pilot Study. Frontiers in Digital Health. 3. 610006–610006. 24 indexed citations
7.
Christie, Richard H., et al.. (2021). Technology for Measuring and Monitoring Treatment Compliance Remotely. Journal of Parkinson s Disease. 11(s1). S77–S81. 3 indexed citations
8.
Abbas, Anzar, Vijay Yadav, Sarah Rutter, et al.. (2021). Computer Vision-Based Assessment of Motor Functioning in Schizophrenia: Use of Smartphones for Remote Measurement of Schizophrenia Symptomatology. SHILAP Revista de lepidopterología. 5(1). 29–36. 24 indexed citations
9.
Abbas, Anzar, Katharina Schultebraucks, & Isaac R. Galatzer‐Levy. (2021). Digital Measurement of Mental Health: Challenges, Promises, and Future Directions. Psychiatric Annals. 51(1). 14–20. 10 indexed citations
10.
Belloy, Michaël E., Jacob Billings, Anzar Abbas, et al.. (2020). Resting Brain Fluctuations Are Intrinsically Coupled to Visual Response Dynamics. Cerebral Cortex. 31(3). 1511–1522. 11 indexed citations
11.
Abbas, Anzar, et al.. (2020). Accuracy of machine learning-based prediction of medication adherence in clinical research. Psychiatry Research. 294. 113558–113558. 35 indexed citations
12.
Abbas, Anzar, et al.. (2019). Quasi-periodic patterns of brain activity in individuals with attention-deficit/hyperactivity disorder. NeuroImage Clinical. 21. 101653–101653. 31 indexed citations
13.
Abbas, Anzar, Michaël E. Belloy, Jacob Billings, et al.. (2019). Quasi-periodic patterns contribute to functional connectivity in the brain. NeuroImage. 191. 193–204. 52 indexed citations
14.
Belloy, Michaël E., Maarten Naeyaert, Anzar Abbas, et al.. (2018). Dynamic resting state fMRI analysis in mice reveals a set of Quasi-Periodic Patterns and illustrates their relationship with the global signal. NeuroImage. 180(Pt B). 463–484. 54 indexed citations
15.
Belloy, Michaël E., Disha Shah, Anzar Abbas, et al.. (2018). Quasi-Periodic Patterns of Neural Activity improve Classification of Alzheimer’s Disease in Mice. Scientific Reports. 8(1). 10024–10024. 28 indexed citations
16.
Pan, Wen‐Ju, Jacob Billings, Maysam Nezafati, Anzar Abbas, & Shella Keilholz. (2018). Resting State fMRI in Rodents. Current Protocols in Neuroscience. 83(1). e45–e45. 6 indexed citations
17.
Billings, Jacob, Sadia Shakil, Xiaohong Shen, et al.. (2017). Instantaneous brain dynamics mapped to a continuous state space. NeuroImage. 162. 344–352. 13 indexed citations
18.
Belloy, Michaël E., Maarten Naeyaert, Georgios A. Keliris, et al.. (2017). Dynamic resting state fMRI in mice: detection of Quasi-Periodic Patterns. Max Planck Digital Library. 566–567. 2 indexed citations
19.
Keilholz, Shella, Jacob Billings, Kai Wang, et al.. (2016). Multiscale network activity in resting state fMRI. PubMed. 2016. 61–64. 5 indexed citations
20.
Ladan, MJ, et al.. (2007). Administration of Antiretroviral Drugs(Lamivudine, Nevirapine and Stavudine) has no Untoward Effect on Haematological Profile in Albino Rats. Asian Journal of Biochemistry. 2(2). 147–151. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026