Anish Mitra

7.9k total citations · 2 hit papers
36 papers, 4.7k citations indexed

About

Anish Mitra is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Anish Mitra has authored 36 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cognitive Neuroscience, 13 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Anish Mitra's work include Functional Brain Connectivity Studies (29 papers), Neural dynamics and brain function (20 papers) and Advanced MRI Techniques and Applications (11 papers). Anish Mitra is often cited by papers focused on Functional Brain Connectivity Studies (29 papers), Neural dynamics and brain function (20 papers) and Advanced MRI Techniques and Applications (11 papers). Anish Mitra collaborates with scholars based in United States, Germany and Japan. Anish Mitra's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and NeuroImage.

In The Last Decade

Anish Mitra

36 papers receiving 4.7k citations

Hit Papers

Methods to detect, characterize, and remove motion artifa... 2013 2026 2017 2021 2013 2016 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anish Mitra United States 22 4.1k 1.6k 666 405 323 36 4.7k
Ziad S. Saad United States 36 5.0k 1.2× 2.2k 1.4× 838 1.3× 537 1.3× 408 1.3× 65 6.2k
Qihong Zou China 25 4.2k 1.0× 1.9k 1.2× 630 0.9× 661 1.6× 363 1.1× 64 5.1k
Alecia C. Vogel United States 15 5.0k 1.2× 1.6k 1.0× 1.1k 1.7× 586 1.4× 184 0.6× 31 5.7k
Lingzhong Fan China 27 3.4k 0.8× 1.6k 1.0× 710 1.1× 668 1.6× 260 0.8× 86 4.5k
Aaron Alexander‐Bloch United States 32 4.2k 1.0× 2.1k 1.4× 883 1.3× 761 1.9× 324 1.0× 83 5.8k
Ru Kong Singapore 18 3.4k 0.8× 1.4k 0.9× 797 1.2× 367 0.9× 173 0.5× 25 3.9k
Hang Joon Jo United States 27 3.0k 0.7× 1.3k 0.8× 607 0.9× 522 1.3× 240 0.7× 73 3.8k
Christina Triantafyllou United States 31 2.7k 0.7× 1.8k 1.2× 590 0.9× 440 1.1× 202 0.6× 55 4.4k
Xindi Wang China 16 3.6k 0.9× 1.7k 1.1× 881 1.3× 704 1.7× 361 1.1× 38 4.8k
Xujun Duan China 42 4.1k 1.0× 1.4k 0.9× 1.0k 1.6× 922 2.3× 229 0.7× 107 4.8k

Countries citing papers authored by Anish Mitra

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Murphy, Keith R., Jordan S. Farrell, Anish Mitra, et al.. (2024). Optimized ultrasound neuromodulation for non-invasive control of behavior and physiology. Neuron. 112(19). 3252–3266.e5. 35 indexed citations
2.
Downar, Jonathan, Shan H. Siddiqi, Anish Mitra, Nolan Williams, & Conor Liston. (2024). Mechanisms of Action of TMS in the Treatment of Depression. Current topics in behavioral neurosciences. 66. 233–277. 14 indexed citations
3.
Mitra, Anish, et al.. (2023). Targeted neurostimulation reverses a spatiotemporal biomarker of treatment-resistant depression. Proceedings of the National Academy of Sciences. 120(21). e2218958120–e2218958120. 30 indexed citations
5.
Raut, Ryan V., Abraham Z. Snyder, Anish Mitra, et al.. (2021). Global waves synchronize the brain’s functional systems with fluctuating arousal. Science Advances. 7(30). 133 indexed citations
6.
Smyth, Matthew D., Liang Zhu, Anish Mitra, et al.. (2021). Convolutional Neural Networks for Pediatric Refractory Epilepsy Classification Using Resting-State Functional Magnetic Resonance Imaging. World Neurosurgery. 149. e1112–e1122. 9 indexed citations
7.
Smyth, Matthew D., Liang Zhu, Anish Mitra, et al.. (2021). A comparison of machine learning classifiers for pediatric epilepsy using resting‑state functional MRI latency data. Biomedical Reports. 15(3). 77–77. 10 indexed citations
8.
Kraft, Andrew W., Anish Mitra, Zachary P. Rosenthal, et al.. (2020). Electrically coupled inhibitory interneurons constrain long-range connectivity of cortical networks. NeuroImage. 215. 116810–116810. 8 indexed citations
9.
Mitra, Anish, Abraham Z. Snyder, & Marcus E. Raichle. (2020). Probabilistic flow in brain-wide activity. NeuroImage. 223. 117321–117321. 4 indexed citations
10.
Shah, Manish N., et al.. (2018). Role of resting state MRI temporal latency in refractory pediatric extratemporal epilepsy lateralization. Journal of Magnetic Resonance Imaging. 49(5). 1347–1355. 6 indexed citations
11.
Shah, Manish N., Anish Mitra, Manu S. Goyal, et al.. (2018). Resting state signal latency predicts laterality in pediatric medically refractory temporal lobe epilepsy. Child s Nervous System. 34(5). 901–910. 16 indexed citations
12.
Mitra, Anish, Andrew W. Kraft, Patrick W. Wright, et al.. (2018). Spontaneous Infra-slow Brain Activity Has Unique Spatiotemporal Dynamics and Laminar Structure. Neuron. 98(2). 297–305.e6. 124 indexed citations
13.
McAvoy, Mark P., Anish Mitra, Enzo Tagliazucchi, Helmut Laufs, & Marcus E. Raichle. (2017). Mapping visual dominance in human sleep. NeuroImage. 150. 250–261. 8 indexed citations
14.
Laumann, Timothy O., Abraham Z. Snyder, Anish Mitra, et al.. (2016). On the Stability of BOLD fMRI Correlations. Cerebral Cortex. 27(10). 4719–4732. 372 indexed citations breakdown →
15.
Mitra, Anish, Abraham Z. Snyder, Tyler Blazey, & Marcus E. Raichle. (2015). Lag threads organize the brain’s intrinsic activity. Proceedings of the National Academy of Sciences. 112(17). E2235–44. 136 indexed citations
16.
Hugdahl, Kenneth, Marcus E. Raichle, Anish Mitra, & Karsten Specht. (2015). On the existence of a generalized non-specific task-dependent network. Frontiers in Human Neuroscience. 9. 430–430. 134 indexed citations
17.
Brier, Matthew R., Anish Mitra, John E. McCarthy, Beau M. Ances, & Abraham Z. Snyder. (2015). Partial covariance based functional connectivity computation using Ledoit–Wolf covariance regularization. NeuroImage. 121. 29–38. 32 indexed citations
18.
Smyser, Christopher D., Abraham Z. Snyder, Joshua S. Shimony, et al.. (2014). Resting-State Network Complexity and Magnitude Are Reduced in Prematurely Born Infants. Cerebral Cortex. 26(1). 322–333. 114 indexed citations
19.
Mitra, Anish, Abraham Z. Snyder, Carl D. Hacker, & Marcus E. Raichle. (2014). Lag structure in resting-state fMRI. Journal of Neurophysiology. 111(11). 2374–2391. 138 indexed citations
20.
Power, Jonathan D., Anish Mitra, Timothy O. Laumann, et al.. (2013). Methods to detect, characterize, and remove motion artifact in resting state fMRI. NeuroImage. 84. 320–341. 2513 indexed citations breakdown →

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.

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