Alit Stark‐Inbar

550 citations
21 papers · 341 · h-index 10

Impact in

  • Neurology top 10%
    • Transcranial Magnetic Stimulation Studies
    • Neurological disorders and treatments
    • Parkinson's Disease Mechanisms and Treatments
    • Motor Control and Adaptation

Papers in

Alit Stark‐Inbar

18 papers receiving 338 citations

Peers

Alit Stark‐Inbar
Comparison fields: 5 of 66
  • Neurology 72
  • Cognitive Neuroscience 128
  • Psychiatry and Mental health 96
  • Physical Therapy, Sports Therapy and Rehabilitation 21
  • Neurology 63
Replace Nicholas Hanson with:
Nicholas Hanson United States
Sarah Banducci United States
Giulia D’Aurizio Italy
Samuel M. Bierner United States
Diletta Barbiani Italy
Isabella Hoi Kei Leung Australia
Godwin Lekwuwa United Kingdom
Liam D. Kaufman Canada
Andrew Vo Canada
Galina Е. Ivanova Russia
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Citations per field
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Citations per year

Countries citing papers authored by Alit Stark‐Inbar

Since Specialization
Citations

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

Fields of papers citing papers by Alit Stark‐Inbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alit Stark‐Inbar. 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 Alit Stark‐Inbar. The network helps show where Alit Stark‐Inbar may publish in the future.

Co-authors

The 25 scholars most cited alongside Alit Stark‐Inbar, 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 Alit Stark‐Inbar Line = papers co-authored together Alit Stark‐Inbar 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 201663
2 201757
3 202056
4 202326
5 201925
6 201923
7 201921
8 201712
9 202310
10 20239
11 20219
12 20177
13 20236
14 20235
15 20245
16 20233
17 20252
18 20222
19 20250
20 20250

About Alit Stark‐Inbar

Alit Stark‐Inbar is a scholar working on Psychiatry and Mental health, Neurology, Pathology and Forensic Medicine, Neurology and Cognitive Neuroscience, having authored 21 papers that have together received 341 indexed citations. Recurring topics across this work include Migraine and Headache Studies (12 papers), Transcranial Magnetic Stimulation Studies (10 papers), Trigeminal Neuralgia and Treatments (6 papers), Neurological disorders and treatments (4 papers), Motor Control and Adaptation (3 papers), Sympathectomy and Hyperhidrosis Treatments (3 papers), Mental Health Research Topics (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Neurology (72 citations), Cognitive Neuroscience (128 citations), Psychiatry and Mental health (96 citations), Physical Therapy, Sports Therapy and Rehabilitation (21 citations) and Neurology (63 citations). Alit Stark‐Inbar has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Richard B. Ivry, Jordan A. Taylor, Alon Ironi, Heather E. Dawes, Michael M. Merzenich, Deanna L. Wallace, Morgan B. Lee, Edward F. Chang, Thomas Van Vleet and Mor Nahum. Their work appears in journals such as Pain Management, Cephalalgia, Headache The Journal of Head and Face Pain, JMIR mhealth and uhealth and Journal of Neurophysiology.

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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