Abhijit Chaudhuri
- Epidemiology top 5%
- Neurology top 1%
- Psychiatry and Mental health top 1%
- Pathology and Forensic Medicine top 1%
- Infectious Diseases top 5%
- Co-authors
- Peter O. BehanPeter G. E. KennedyIsrael SteinerOili SalonenHerbert BudkaMarjaleena KoskiniemiKimmo SainioStig Hansen
- Topics
- Fibromyalgia and Chronic Fatigue Syndrome Research (19 papers)Multiple Sclerosis Research Studies (13 papers)Genetic Neurodegenerative Diseases (10 papers)
- Partner nations
- United KingdomIndiaNetherlands
In The Last Decade
Abhijit Chaudhuri
61 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Epidemiology 928
- Neurology 926
- Psychiatry and Mental health 924
- Pathology and Forensic Medicine 802
- Infectious Diseases 403
Countries citing papers authored by Abhijit Chaudhuri
This map shows the geographic impact of Abhijit Chaudhuri'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 Abhijit Chaudhuri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhijit Chaudhuri more than expected).
Fields of papers citing papers by Abhijit Chaudhuri
This network shows the impact of papers produced by Abhijit Chaudhuri. 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 Abhijit Chaudhuri. The network helps show where Abhijit Chaudhuri may publish in the future.
Co-authorship network of co-authors of Abhijit Chaudhuri
This figure shows the co-authorship network connecting the top 25 collaborators of Abhijit Chaudhuri. A scholar is included among the top collaborators of Abhijit Chaudhuri 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 Abhijit Chaudhuri. Abhijit Chaudhuri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | How smart, connected products are transforming competition | 1 |
| 5 | 21 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 137 | |
| 9 | 22 | |
| 10 | 13 | |
| 11 | 8 | |
| 12 | 161 | |
| 13 | 4 | |
| 14 | 240 | |
| 15 | 67 | |
| 16 | 29 | |
| 17 | 65 | |
| 18 | 26 | |
| 19 | 12 | |
| 20 | 30 |
About Abhijit Chaudhuri
Abhijit Chaudhuri is a scholar working on Psychiatry and Mental health, Neurology and Pathology and Forensic Medicine, having authored 63 papers that have together received 3.9k indexed citations. Recurring topics across this work include Fibromyalgia and Chronic Fatigue Syndrome Research (19 papers), Multiple Sclerosis Research Studies (13 papers) and Genetic Neurodegenerative Diseases (10 papers). The work is most often cited by research in Neurology (926 citations), Psychiatry and Mental health (924 citations) and Pathology and Forensic Medicine (802 citations). Abhijit Chaudhuri has collaborated with scholars based in United Kingdom, India and Netherlands. Frequent co-authors include Peter O. Behan, Peter G. E. Kennedy, Israel Steiner, Oili Salonen, Herbert Budka, Marjaleena Koskiniemi, Kimmo Sainio, Stig Hansen, Peter Portegies and Carolyn Young. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and 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.