Kamal Deep

939 citations
54 papers · 635 · h-index 15

Impact in

  • Surgery top 5%
    • Total Knee Arthroplasty Outcomes
    • Orthopaedic implants and arthroplasty
    • Orthopedic Infections and Treatments
    • Knee injuries and reconstruction techniques
    • Venous Thromboembolism Diagnosis and Management

Papers in

    • Total Knee Arthroplasty Outcomes 23
    • Orthopaedic implants and arthroplasty 20
    • Orthopedic Infections and Treatments 8
    • Knee injuries and reconstruction techniques 6
    • Natural Language Processing Techniques 5
    • Topic Modeling 4

Kamal Deep

51 papers receiving 615 citations

Peers

Kamal Deep
Comparison fields: 5 of 70
  • Surgery 415
  • Internal Medicine 24
  • Automotive Engineering 36
  • Biomedical Engineering 108
  • Health Informatics 3
Replace Toshiyuki Kataoka with:
Toshiyuki Kataoka Japan
Susann Beier Australia
E.H. Garling Netherlands
Yuji Nishimoto Japan
Javad Fotouhi United States
Toshihiko Sasama Japan
Matthew J. LeVine United States
Oscar D. Sánchez United States
Ulrich Baumann Switzerland
Kamal Deep relative to Toshiyuki Kataoka Japan Toshiyuki Kataoka's profile →
Citations per field
00.5×12×
Toshiyuki Kataoka · 1×
Citations per year

Countries citing papers authored by Kamal Deep

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kamal Deep Line = papers co-authored together Kamal Deep links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201971
2 201752
3 201950
4 201246
5 201445
6 201533
7 201630
8 201530
9 200127
10 202225
11 201623
12 201521
13 200319
14 201719
15 201516
16 201614
17 201413
18 201712
19 20209
20 20228

About Kamal Deep

Kamal Deep is a scholar working on Surgery, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 54 papers that have together received 635 indexed citations. Recurring topics across this work include Total Knee Arthroplasty Outcomes (23 papers), Orthopaedic implants and arthroplasty (20 papers), Orthopedic Infections and Treatments (8 papers), Knee injuries and reconstruction techniques (6 papers), Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Internet of Things and AI (3 papers). The work is most often cited by research in Surgery (415 citations), Internal Medicine (24 citations), Automotive Engineering (36 citations), Biomedical Engineering (108 citations) and Health Informatics (3 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, Jon Clarke, Joseph Baines, Krishna Kiran Eachempati, Sunil Apsingi and Philip Riches. Their work appears in journals such as Injury, The Journal of Arthroplasty, Knee Surgery Sports Traumatology Arthroscopy, Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine and Computer Aided Surgery.

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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