Samit Chakrabarty

2.0k citations
58 papers · 1.5k · h-index 20

Impact in

Papers in

Samit Chakrabarty

56 papers receiving 1.5k citations

Peers

Samit Chakrabarty
Comparison fields: 5 of 94
  • Neurology 265
  • Psychiatry and Mental health 281
  • Developmental Neuroscience 78
  • Pathology and Forensic Medicine 296
  • Cellular and Molecular Neuroscience 294
Replace Jason B. Carmel with:
Jason B. Carmel United States
Laura Bonzano Italy
Marco Cursi Italy
Denys Fontaine France
Björn Zörner Switzerland
Maria Kristoffersen Wiberg Sweden
Linard Filli Switzerland
Keith K. Fenrich Canada
M. Trippel Germany
D A Ingram United Kingdom
Samit Chakrabarty relative to Jason B. Carmel United States Jason B. Carmel's profile →
Citations per field
00.5×1.5×
Jason B. Carmel · 1×
Citations per year

Countries citing papers authored by Samit Chakrabarty

Since Specialization
Citations

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

Fields of papers citing papers by Samit Chakrabarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Samit Chakrabarty, 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 Samit Chakrabarty Line = papers co-authored together Samit Chakrabarty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984175
2 2007167
3 2007119
4 2023108
5 201297
6 201276
7 200072
8 201162
9 201455
10 200951
11 201947
12 201344
13 200539
14 201737
15 200832
16 202026
17 200525
18 201025
19 201122
20 199822

About Samit Chakrabarty

Samit Chakrabarty is a scholar working on Biomedical Engineering, Neurology, Cognitive Neuroscience, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (16 papers), Transcranial Magnetic Stimulation Studies (16 papers), Spinal Cord Injury Research (11 papers), Motor Control and Adaptation (8 papers), Cerebral Palsy and Movement Disorders (7 papers), EEG and Brain-Computer Interfaces (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Neurology (265 citations), Psychiatry and Mental health (281 citations), Developmental Neuroscience (78 citations), Pathology and Forensic Medicine (296 citations) and Cellular and Molecular Neuroscience (294 citations). Samit Chakrabarty has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include John H. Martin, Kathleen M. Friel, Marcel Brus‐Ramer, Jason B. Carmel, Iran Salimi, Lynn C. Yeoman, James Martín, B H Long, Alan E. Levine and James K. V. Willson. Their work appears in journals such as Journal of Neuroscience, Journal of Neurophysiology, Journal of Anatomy, Developmental Medicine & Child Neurology and Sensors.

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.

Explore authors with similar magnitude of impact