Kamal Deep
Impact in
- Surgery top 10%
- Total Knee Arthroplasty Outcomes
- Orthopaedic implants and arthroplasty
- Orthopedic Infections and Treatments
- Knee injuries and reconstruction techniques
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- Venous Thromboembolism Diagnosis and Management
Papers in
- Surgery 37
- Total Knee Arthroplasty Outcomes 25
- Orthopaedic implants and arthroplasty 23
- Orthopedic Infections and Treatments 9
- Knee injuries and reconstruction techniques 6
- Hip disorders and treatments 3
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- Internet of Things and AI 3
- Co-authors
- F. Picard (10 shared papers)A.H. Deakin (5 shared papers)Wei Yao (4 shared papers)Vivek Mahajan (4 shared papers)Ashish Mahendra (1 shared paper)Joseph Baines (2 shared papers)Jon Clarke (2 shared papers)Sunil Apsingi (1 shared paper)
- Journals
- Knee Surgery Sports Traumatology Arthroscopy (3 papers)Injury (3 papers)The Journal of Arthroplasty (2 papers)Smart Cities (1 paper)Annals of Biomedical Engineering (1 paper)
- Partner nations
- United KingdomIndiaSaudi Arabia
In The Last Decade
Kamal Deep
53 papers receiving 641 citations
Peers
Comparison fields: 5 of 69
- Surgery 460
- Internal Medicine 25
- Automotive Engineering 44
- Health Informatics 5
- Biomedical Engineering 121
Countries citing papers authored by Kamal Deep
This map shows the geographic impact of Kamal Deep'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 Kamal Deep with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamal Deep more than expected).
Fields of papers citing papers by Kamal Deep
This network shows the impact of papers produced by Kamal Deep. 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 Kamal Deep. The network helps show where Kamal Deep may publish in the future.
Co-authors
The 25 scholars most cited alongside Kamal Deep, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 82 | |
| 2 | 2019 | 60 | |
| 3 | 2017 | 56 | |
| 4 | 2012 | 49 | |
| 5 | 2014 | 48 | |
| 6 | 2016 | 36 | |
| 7 | 2015 | 36 | |
| 8 | 2015 | 32 | |
| 9 | 2001 | 29 | |
| 10 | 2016 | 27 | |
| 11 | 2015 | 21 | |
| 12 | 2017 | 19 | |
| 13 | 2003 | 19 | |
| 14 | 2015 | 17 | |
| 15 | 2014 | 14 | |
| 16 | 2016 | 14 | |
| 17 | 2017 | 12 | |
| 18 | 2012 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2020 | 8 |
About Kamal Deep
Kamal Deep is a scholar working on Surgery, Information Systems, Internal Medicine, Rheumatology and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 670 indexed citations. Recurring topics across this work include Total Knee Arthroplasty Outcomes (25 papers), Orthopaedic implants and arthroplasty (23 papers), Orthopedic Infections and Treatments (9 papers), Knee injuries and reconstruction techniques (6 papers), Natural Language Processing Techniques (4 papers), Internet of Things and AI (3 papers), Hip disorders and treatments (3 papers) and Osteoarthritis Treatment and Mechanisms (3 papers). The work is most often cited by research in Surgery (460 citations), Internal Medicine (25 citations), Automotive Engineering (44 citations), Health Informatics (5 citations) and Biomedical Engineering (121 citations). Kamal Deep has collaborated with scholars based in United Kingdom, India and Saudi Arabia. Frequent co-authors include F. Picard, A.H. Deakin, Wei Yao, Vivek Mahajan, Ashish Mahendra, Joseph Baines, Jon Clarke, Sunil Apsingi, Philip E. Riches and Krishna Kiran Eachempati. Their work appears in journals such as Knee Surgery Sports Traumatology Arthroscopy, Injury, The Journal of Arthroplasty, Smart Cities and Annals of Biomedical Engineering.
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.