Abhishek Vaish
- Surgery top 5%
- Biomedical Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Health Informatics top 0.2%
- Oncology top 10%
- Co-authors
- Raju VaishyaMohd JavaidShashi BahlAbid HaleemKarthikeyan P. IyengarMayank ChauhanAnoop MisraRajiv Suman
- Topics
- Total Knee Arthroplasty Outcomes (31 papers)Musculoskeletal Disorders and Rehabilitation (31 papers)Orthopaedic implants and arthroplasty (26 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of SurgeonsInjury
- Partner nations
- IndiaUnited KingdomItaly
In The Last Decade
Abhishek Vaish
167 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Surgery 798
- Biomedical Engineering 499
- Radiology, Nuclear Medicine and Imaging 356
- Health Informatics 303
- Oncology 245
Countries citing papers authored by Abhishek Vaish
This map shows the geographic impact of Abhishek Vaish'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 Abhishek Vaish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhishek Vaish more than expected).
Fields of papers citing papers by Abhishek Vaish
This network shows the impact of papers produced by Abhishek Vaish. 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 Abhishek Vaish. The network helps show where Abhishek Vaish may publish in the future.
Co-authorship network of co-authors of Abhishek Vaish
This figure shows the co-authorship network connecting the top 25 collaborators of Abhishek Vaish. A scholar is included among the top collaborators of Abhishek Vaish 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 Abhishek Vaish. Abhishek Vaish 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | ChatGPT: Is this version good for healthcare and research?breakdown → | 197 |
| 13 | 7 | |
| 14 | 0 | |
| 15 | 11 | |
| 16 | 33 | |
| 17 | 13 | |
| 18 | 0 | |
| 19 | 43 | |
| 20 | 4 |
About Abhishek Vaish
Abhishek Vaish is a scholar working on Health Informatics, Rehabilitation and Orthopedics and Sports Medicine, having authored 194 papers that have together received 3.1k indexed citations. Recurring topics across this work include Total Knee Arthroplasty Outcomes (31 papers), Musculoskeletal Disorders and Rehabilitation (31 papers) and Orthopaedic implants and arthroplasty (26 papers). The work is most often cited by research in Health Informatics (303 citations), Rehabilitation (165 citations) and Modeling and Simulation (106 citations). Abhishek Vaish has collaborated with scholars based in India, United Kingdom and Italy. Frequent co-authors include Raju Vaishya, Mohd Javaid, Shashi Bahl, Abid Haleem, Karthikeyan P. Iyengar, Mayank Chauhan, Anoop Misra, Rajiv Suman, Vipul Vijay and Srinivas B. S. Kambhampati. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Surgeons and Injury.
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.