Anish Mitra
- Cognitive Neuroscience top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Experimental and Cognitive Psychology top 2%
- Psychiatry and Mental health top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Abraham Z. SnyderTimothy O. LaumannSteven E. PetersenBradley L. SchlaggarJonathan D. PowerMarcus E. RaichleCarl D. HackerEnzo Tagliazucchi
- Topics
- Functional Brain Connectivity Studies (29 papers)Neural dynamics and brain function (20 papers)Advanced MRI Techniques and Applications (11 papers)
- Cited by
- Cognitive NeuroscienceRadiology, Nuclear Medicine and ImagingExperimental and Cognitive Psychology
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Anish Mitra
36 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Cognitive Neuroscience 4.1k
- Radiology, Nuclear Medicine and Imaging 1.6k
- Experimental and Cognitive Psychology 666
- Psychiatry and Mental health 405
- Cellular and Molecular Neuroscience 323
Countries citing papers authored by Anish Mitra
This map shows the geographic impact of Anish Mitra'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 Anish Mitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anish Mitra more than expected).
Fields of papers citing papers by Anish Mitra
This network shows the impact of papers produced by Anish Mitra. 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 Anish Mitra. The network helps show where Anish Mitra may publish in the future.
Co-authorship network of co-authors of Anish Mitra
This figure shows the co-authorship network connecting the top 25 collaborators of Anish Mitra. A scholar is included among the top collaborators of Anish Mitra 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 Anish Mitra. Anish Mitra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 14 | |
| 3 | 30 | |
| 4 | 6 | |
| 5 | 133 | |
| 6 | 9 | |
| 7 | 10 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 16 | |
| 12 | 124 | |
| 13 | 8 | |
| 14 | On the Stability of BOLD fMRI Correlationsbreakdown → | 372 |
| 15 | 136 | |
| 16 | 134 | |
| 17 | 32 | |
| 18 | 114 | |
| 19 | 138 | |
| 20 | Methods to detect, characterize, and remove motion artifact in resting state fMRIbreakdown → | 2513 |
About Anish Mitra
Anish Mitra is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 4.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (29 papers), Neural dynamics and brain function (20 papers) and Advanced MRI Techniques and Applications (11 papers). The work is most often cited by research in Cognitive Neuroscience (4.1k citations), Radiology, Nuclear Medicine and Imaging (1.6k citations) and Experimental and Cognitive Psychology (666 citations). Anish Mitra has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Abraham Z. Snyder, Timothy O. Laumann, Steven E. Petersen, Bradley L. Schlaggar, Jonathan D. Power, Marcus E. Raichle, Carl D. Hacker, Enzo Tagliazucchi, Helmut Laufs and Joshua S. Shimony. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and NeuroImage.
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.