Nishant Sinha

1.6k total citations
53 papers, 888 citations indexed

About

Nishant Sinha is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Nishant Sinha has authored 53 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 17 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Psychiatry and Mental health. Recurrent topics in Nishant Sinha's work include Functional Brain Connectivity Studies (22 papers), EEG and Brain-Computer Interfaces (19 papers) and Epilepsy research and treatment (15 papers). Nishant Sinha is often cited by papers focused on Functional Brain Connectivity Studies (22 papers), EEG and Brain-Computer Interfaces (19 papers) and Epilepsy research and treatment (15 papers). Nishant Sinha collaborates with scholars based in United States, United Kingdom and India. Nishant Sinha's co-authors include Justin Dauwels, Peter N. Taylor, Yujiang Wang, Marcus Kaiser, Sydney S. Cash, M. Brandon Westover, Tomasz Maszczyk, Anna Miserocchi, John S. Duncan and Andrew W. McEvoy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain and Neurology.

In The Last Decade

Nishant Sinha

45 papers receiving 869 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nishant Sinha United States 14 675 323 207 206 72 53 888
Alberto Leal Portugal 19 592 0.9× 262 0.8× 189 0.9× 192 0.9× 87 1.2× 43 924
S.C. Ponten Netherlands 8 1.0k 1.5× 151 0.5× 218 1.1× 130 0.6× 53 0.7× 9 1.1k
Jane Maryam Rondina United Kingdom 13 716 1.1× 318 1.0× 333 1.6× 112 0.5× 112 1.6× 22 1.2k
Cristian Donos Romania 15 565 0.8× 259 0.8× 67 0.3× 172 0.8× 125 1.7× 30 787
Pierpaolo Croce Italy 20 800 1.2× 106 0.3× 240 1.2× 134 0.7× 38 0.5× 45 1.1k
Pauly Ossenblok Netherlands 19 982 1.5× 460 1.4× 357 1.7× 243 1.2× 57 0.8× 52 1.2k
Nicolas Roehri France 16 865 1.3× 557 1.7× 107 0.5× 417 2.0× 129 1.8× 30 1.1k
Marcel Heers Germany 16 550 0.8× 424 1.3× 196 0.9× 266 1.3× 111 1.5× 32 933
Svetlana Kipervasser Israel 16 1.0k 1.5× 298 0.9× 129 0.6× 218 1.1× 203 2.8× 40 1.3k
Gabriele Arnulfo Italy 17 849 1.3× 367 1.1× 132 0.6× 412 2.0× 298 4.1× 43 1.4k

Countries citing papers authored by Nishant Sinha

Since Specialization
Citations

This map shows the geographic impact of Nishant Sinha'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 Nishant Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nishant Sinha more than expected).

Fields of papers citing papers by Nishant Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nishant Sinha. 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 Nishant Sinha. The network helps show where Nishant Sinha may publish in the future.

Co-authorship network of co-authors of Nishant Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Nishant Sinha. A scholar is included among the top collaborators of Nishant Sinha 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 Nishant Sinha. Nishant Sinha 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.
2.
Xu, Zhida, Patryk Orzechowski, James Spence, et al.. (2025). Pennsieve: A Collaborative Platform for Translational Neuroscience and Beyond. Scientific Data. 12(1). 1834–1834. 1 indexed citations
3.
Lucas, Alfredo, Eli J. Cornblath, Nishant Sinha, et al.. (2025). Seizure‐onset zone lateralization in temporal lobe epilepsy using 7T rs‐fMRI: Direct comparison with 3T rs‐fMRI. Epilepsia. 66(9). 3440–3452.
4.
Xu, Zhida, Erin C. Conrad, Kathryn A. Davis, et al.. (2025). Annotating neurophysiologic data at scale with optimized human input. Journal of Neural Engineering. 22(4). 46003–46003. 1 indexed citations
5.
Lucas, Alfredo, Nishant Sinha, Ryan S. Gallagher, et al.. (2024). Utility of intracranial EEG networks depends on re-referencing and connectivity choice. Brain Communications. 6(3). fcae165–fcae165. 2 indexed citations
6.
Lucas, Alfredo, Nishant Sinha, Ryan S. Gallagher, et al.. (2024). Mapping hippocampal and thalamic atrophy in epilepsy: A 7‐T magnetic resonance imaging study. Epilepsia. 65(4). 1092–1106. 5 indexed citations
7.
Gallagher, Ryan S., Nishant Sinha, Alfredo Lucas, et al.. (2024). The sixth sense: how much does interictal intracranial EEG add to determining the focality of epileptic networks?. Brain Communications. 6(5). fcae320–fcae320.
8.
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Lucas, Alfredo, Ryan S. Gallagher, Ezequiel Gleichgerrcht, et al.. (2023). iEEG ‐recon: A fast and scalable pipeline for accurate reconstruction of intracranial electrodes and implantable devices. Epilepsia. 65(3). 817–829. 8 indexed citations
10.
Revell, Andrew Y., John M. Bernabei, Erin C. Conrad, et al.. (2023). The seizure severity score: a quantitative tool for comparing seizures and their response to therapy. Journal of Neural Engineering. 20(4). 46026–46026. 7 indexed citations
11.
Bernabei, John M., Adam Li, Andrew Y. Revell, et al.. (2023). Quantitative approaches to guide epilepsy surgery from intracranial EEG. Brain. 146(6). 2248–2258. 46 indexed citations
12.
Sinha, Nishant, John S. Duncan, Beate Diehl, et al.. (2023). Intracranial EEG Structure-Function Coupling and Seizure Outcomes After Epilepsy Surgery. Neurology. 101(13). e1293–e1306. 12 indexed citations
13.
Lucas, Alfredo, Eli J. Cornblath, Nishant Sinha, et al.. (2023). Resting state functional connectivity demonstrates increased segregation in bilateral temporal lobe epilepsy. Epilepsia. 64(5). 1305–1317. 7 indexed citations
14.
Sinha, Nishant, et al.. (2022). A knowledge integration strategy for the selection of a robust multi-stress biomarkers panel for Bacillus subtilis. Synthetic and Systems Biotechnology. 8(1). 97–106.
15.
Sinha, Nishant, Graham W. Johnson, Kathryn A. Davis, & Dario J. Englot. (2022). Integrating Network Neuroscience Into Epilepsy Care: Progress, Barriers, and Next Steps. Epiliepsy currents. 22(5). 272–278. 21 indexed citations
16.
Thomas, John, Nishant Sinha, Rajamanickam Yuvaraj, et al.. (2022). Improving automated diagnosis of epilepsy from EEGs beyond IEDs. Journal of Neural Engineering. 19(6). 66017–66017. 14 indexed citations
17.
Gugger, James J., Alexa E. Walter, Drew Parker, et al.. (2022). Longitudinal Abnormalities in White Matter Extracellular Free Water Volume Fraction and Neuropsychological Functioning in Patients with Traumatic Brain Injury. Journal of Neurotrauma. 40(7-8). 683–692. 2 indexed citations
18.
Sinha, Nishant, et al.. (2022). Perspectives on Understanding Aberrant Brain Networks in Epilepsy. PubMed. 2. 868092–868092. 13 indexed citations
19.
Sinha, Nishant, Yujiang Wang, Justin Dauwels, et al.. (2019). Computer modelling of connectivity change suggests epileptogenesis mechanisms in idiopathic generalised epilepsy. NeuroImage Clinical. 21. 101655–101655. 21 indexed citations
20.

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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