M. Mallar Chakravarty
- Cognitive Neuroscience top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Psychiatry and Mental health top 0.5%
- Neurology top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Co-authors
- D. Louis CollinsAristotle N. VoineskosJason P. LerchMin Tae M ParkGabriel A. DevenyiArmin RaznahanJon PipitoneSandra E. Leh
- Topics
- Functional Brain Connectivity Studies (127 papers)Advanced Neuroimaging Techniques and Applications (110 papers)Advanced MRI Techniques and Applications (39 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
M. Mallar Chakravarty
334 papers receiving 12.5k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Cognitive Neuroscience 5.2k
- Radiology, Nuclear Medicine and Imaging 3.4k
- Psychiatry and Mental health 2.5k
- Neurology 2.0k
- Cellular and Molecular Neuroscience 1.8k
Countries citing papers authored by M. Mallar Chakravarty
This map shows the geographic impact of M. Mallar Chakravarty'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 M. Mallar Chakravarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Mallar Chakravarty more than expected).
Fields of papers citing papers by M. Mallar Chakravarty
This network shows the impact of papers produced by M. Mallar Chakravarty. 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 M. Mallar Chakravarty. The network helps show where M. Mallar Chakravarty may publish in the future.
Co-authorship network of co-authors of M. Mallar Chakravarty
This figure shows the co-authorship network connecting the top 25 collaborators of M. Mallar Chakravarty. A scholar is included among the top collaborators of M. Mallar Chakravarty 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 M. Mallar Chakravarty. M. Mallar Chakravarty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | 28 | |
| 13 | 6 | |
| 14 | 9 | |
| 15 | 34 | |
| 16 | 30 | |
| 17 | 14 | |
| 18 | 14 | |
| 19 | 2 | |
| 20 | 136 |
About M. Mallar Chakravarty
M. Mallar Chakravarty is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging, having authored 347 papers that have together received 12.6k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (127 papers), Advanced Neuroimaging Techniques and Applications (110 papers) and Advanced MRI Techniques and Applications (39 papers). The work is most often cited by research in Cognitive Neuroscience (5.2k citations), Biological Psychiatry (641 citations) and Neurology (1.4k citations). M. Mallar Chakravarty has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include D. Louis Collins, Aristotle N. Voineskos, Jason P. Lerch, Min Tae M Park, Gabriel A. Devenyi, Armin Raznahan, Jon Pipitone, Sandra E. Leh, Alain Ptito and Eric Plitman. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.