Niravkumar Barot

448 citations
22 papers · 277 · h-index 10

Impact in

Papers in

    • Epilepsy research and treatment 15
    • Traumatic Brain Injury and Neurovascular Disturbances 3
    • Intracerebral and Subarachnoid Hemorrhage Research 1

Niravkumar Barot

20 papers receiving 272 citations

Peers

Niravkumar Barot
Comparison fields: 5 of 25
  • Psychiatry and Mental health 192
  • Emergency Medicine 20
  • Neurology 33
  • Cognitive Neuroscience 48
  • Health Informatics 2
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Shaily Singh Canada
Pia De Stefano Switzerland
Alexander Zerbs Austria
Alba Sierra‐Marcos Spain
Danny M. W. Hilkman Netherlands
Krystal K. Laing United States
Sureerat Suwatcharangkoon Thailand
Wolfgang G. Muhlhofer United States
Hanneke E. Ronner Netherlands
Wazim Mohamed United States
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Citations per field
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Shaily Singh · 1×
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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202270
2 201855
3 202130
4 202317
5 202514
6 201613
7 202413
8 202312
9 202011
10 202211
11 20206
12 20216
13 20226
14 20235
15 20213
16 20221
17 20241
18 20251
19 20251
20 20251

About Niravkumar Barot

Niravkumar Barot is a scholar working on Psychiatry and Mental health, Neurology, Emergency Medicine, Cognitive Neuroscience and Epidemiology, having authored 22 papers that have together received 277 indexed citations. Recurring topics across this work include Epilepsy research and treatment (15 papers), EEG and Brain-Computer Interfaces (3 papers), Traumatic Brain Injury Research (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Cardiac Arrest and Resuscitation (3 papers), Hemispheric Asymmetry in Neuroscience (1 paper), Intracerebral and Subarachnoid Hemorrhage Research (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Psychiatry and Mental health (192 citations), Emergency Medicine (20 citations), Neurology (33 citations), Cognitive Neuroscience (48 citations) and Health Informatics (2 citations). Niravkumar Barot has collaborated with scholars based in United States, India and Taiwan. Frequent co-authors include Maromi Nei, James F. Castellano, Jorge Alvaro Gonzalez-Martinez, Jonathan Elmer, Anto I. Bagic, Matthew W. Pease, Mary Lou Klem, Kavita Batra, David O. Okonkwo and Arka N. Mallela. Their work appears in journals such as Neurology, Resuscitation, Neurosurgery Clinics of North America, Journal of Neurology Neurosurgery & Psychiatry and JAMA Neurology.

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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