Niravkumar Barot

420 citations
21 papers · 163 · h-index 8

Impact in

Papers in

Niravkumar Barot

18 papers receiving 157 citations

Peers

Niravkumar Barot
Comparison fields: 5 of 28
  • Psychiatry and Mental health 74
  • Neurology 32
  • Emergency Medicine 14
  • Cognitive Neuroscience 33
  • Cellular and Molecular Neuroscience 25
Replace Caterina Zanus with:
Caterina Zanus Italy
Masoom Desai United States
Anil Mendiratta United States
Deepa Sirsi United States
Adam L. Numis United States
Pilar Peña Spain
Gajanan S. Revankar Japan
Udaya Kumar United States
Milda Endzinienė Lithuania
Martina Revay Italy
Niravkumar Barot relative to Caterina Zanus Italy Caterina Zanus's profile →
Citations per field
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Citations per year

Countries citing papers authored by Niravkumar Barot

Since Specialization
Citations

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

Fields of papers citing papers by Niravkumar Barot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Niravkumar Barot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Niravkumar Barot Line = papers co-authored together Niravkumar Barot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201846
2 202123
3 202315
4 201612
5 202311
6 20209
7 20228
8 20257
9 20247
10 20226
11 20206
12 20215
13 20213
14 20251
15 20221
16 20241
17 20251
18 20251
19 20260
20 20240

About Niravkumar Barot

Niravkumar Barot is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology and Pediatrics, Perinatology and Child Health, having authored 21 papers that have together received 163 indexed citations. Recurring topics across this work include Epilepsy research and treatment (10 papers), EEG and Brain-Computer Interfaces (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurological disorders and treatments (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Traumatic Brain Injury Research (2 papers), Cardiac Arrest and Resuscitation (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Psychiatry and Mental health (74 citations), Neurology (32 citations), Emergency Medicine (14 citations), Cognitive Neuroscience (33 citations) and Cellular and Molecular Neuroscience (25 citations). Niravkumar Barot has collaborated with scholars based in United States, Denmark and Italy. Frequent co-authors include Maromi Nei, Jorge González-Martínez, James F. Castellano, Jonathan Elmer, Anto Bagić, Arka N. Mallela, Matthew Pease, Kavita Batra, Jerry Zhang and Mary Lou Klem. Their work appears in journals such as Neurology, Clinical Neurophysiology, Epilepsia, Epileptic Disorders and Neurocritical Care.

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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