Prakash Jayakumar

99 papers receiving 1.8k citations

Prakash Jayakumar's Hit Papers

Comparison of an Artificial Intelligence–Enabled Patient Decision Aid vs Educational Material on Decision Quality, Shared Decision-Making, Patient Experience, and Functional Outcomes in Adults With Knee Osteoarthritis 2021 · 118 citations
1180+1+3Years since publication255075100

Peers

Prakash Jayakumar
Comparison fields: 5 of 126
  • Health Informatics 90
  • Pharmacy 137
  • Surgery 1.0k
  • Rehabilitation 158
  • Pharmacology 299
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Countries citing papers authored by Prakash Jayakumar

Since Specialization
Citations

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

Fields of papers citing papers by Prakash Jayakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012251
2 2010124
3 2014119
4
Comparison of an Artificial Intelligence–Enabled Patient Decision Aid vs Educational Material on Decision Quality, Shared Decision-Making, Patient Experience, and Functional Outcomes in Adults With Knee Osteoarthritis
Hit paper breakdown →
2021118
5 201885
6 201078
7 202062
8 202049
9 201247
10 201547
11 202045
12 200639
13 201437
14 201935
15 201632
16 201029
17 201127
18 201927
19 201426
20 201626

About Prakash Jayakumar

Prakash Jayakumar is a scholar working on Surgery, General Health Professions, Pharmacology, Economics and Econometrics and Public Health, Environmental and Occupational Health, having authored 110 papers that have together received 1.9k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (20 papers), Orthopedic Surgery and Rehabilitation (20 papers), Total Knee Arthroplasty Outcomes (17 papers), Health Systems, Economic Evaluations, Quality of Life (15 papers), Shoulder Injury and Treatment (11 papers), Hip and Femur Fractures (11 papers), Osteoarthritis Treatment and Mechanisms (9 papers) and Orthopaedic implants and arthroplasty (9 papers). The work is most often cited by research in Health Informatics (90 citations), Pharmacy (137 citations), Surgery (1.0k citations), Rehabilitation (158 citations) and Pharmacology (299 citations). Prakash Jayakumar has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include David Ring, Kevin J. Bozic, Fares S. Haddad, Ahmad Kamran Malik, Saif Ul Islam, Ivor Vanhegan, Stephen Gwilym, Sarah E Lamb, Teun Teunis and L. Di Silvio. Their work appears in journals such as Clinical Orthopaedics and Related Research, Journal of the American Academy of Orthopaedic Surgeons, The Bone & Joint Journal, The Journal of Arthroplasty and Journal of Orthopaedic Trauma.

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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