Subhasis Ray
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
Papers in
-
- Cell Image Analysis Techniques 5
-
- Gene Regulatory Network Analysis 3
- Co-authors
- Upinder S. Bhalla (5 shared papers)Andrew P. Davison (3 shared papers)Padraig Gleeson (3 shared papers)Robert C. Cannon (2 shared papers)Michael L. Hines (1 shared paper)R. Angus Silver (1 shared paper)Thomas M. Morse (1 shared paper)Matteo Farinella (1 shared paper)
- Journals
- BMC Neuroscience (4 papers)Scientific Reports (1 paper)PLoS Computational Biology (1 paper)Journal of Seismology (1 paper)Frontiers in Neuroinformatics (1 paper)
- Partner nations
- IndiaUnited StatesBelgium
In The Last Decade
Subhasis Ray
16 papers receiving 350 citations
Peers
Comparison fields: 5 of 76
- Biophysics 73
- Cognitive Neuroscience 153
- Aging 10
- Information Systems and Management 28
- Cellular and Molecular Neuroscience 72
Countries citing papers authored by Subhasis Ray
This map shows the geographic impact of Subhasis Ray'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 Subhasis Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhasis Ray more than expected).
Fields of papers citing papers by Subhasis Ray
This network shows the impact of papers produced by Subhasis Ray. 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 Subhasis Ray. The network helps show where Subhasis Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Subhasis Ray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 206 | |
| 2 | 2017 | 29 | |
| 3 | 2011 | 24 | |
| 4 | 2018 | 21 | |
| 5 | 2015 | 15 | |
| 6 | 2013 | 14 | |
| 7 | 2009 | 10 | |
| 8 | 2020 | 10 | |
| 9 | 2008 | 10 | |
| 10 | 2021 | 8 | |
| 11 | 2012 | 8 | |
| 12 | 2023 | 3 | |
| 13 | 2015 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2014 | 1 | |
| 16 | 2018 | 1 |
About Subhasis Ray
Subhasis Ray is a scholar working on Biophysics, Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 16 papers that have together received 363 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (5 papers), Neural dynamics and brain function (4 papers), Neurobiology and Insect Physiology Research (3 papers), Gene Regulatory Network Analysis (3 papers), Advanced Memory and Neural Computing (3 papers), Insect Pheromone Research and Control (2 papers), Plant and animal studies (2 papers) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Biophysics (73 citations), Cognitive Neuroscience (153 citations), Aging (10 citations), Information Systems and Management (28 citations) and Cellular and Molecular Neuroscience (72 citations). Subhasis Ray has collaborated with scholars based in India, United States and Belgium. Frequent co-authors include Upinder S. Bhalla, Andrew P. Davison, Padraig Gleeson, Robert C. Cannon, Michael L. Hines, R. Angus Silver, Thomas M. Morse, Matteo Farinella, Sharon Crook and Mark Stopfer. Their work appears in journals such as BMC Neuroscience, Scientific Reports, PLoS Computational Biology, Journal of Seismology and Frontiers in Neuroinformatics.
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.