Jonathan L. Schaffer

4.9k total citations · 1 hit paper
101 papers, 3.3k citations indexed

About

Jonathan L. Schaffer is a scholar working on Surgery, Public Health, Environmental and Occupational Health and Pharmacology. According to data from OpenAlex, Jonathan L. Schaffer has authored 101 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Surgery, 13 papers in Public Health, Environmental and Occupational Health and 11 papers in Pharmacology. Recurrent topics in Jonathan L. Schaffer's work include Orthopaedic implants and arthroplasty (14 papers), Total Knee Arthroplasty Outcomes (12 papers) and Musculoskeletal pain and rehabilitation (11 papers). Jonathan L. Schaffer is often cited by papers focused on Orthopaedic implants and arthroplasty (14 papers), Total Knee Arthroplasty Outcomes (12 papers) and Musculoskeletal pain and rehabilitation (11 papers). Jonathan L. Schaffer collaborates with scholars based in United States, Australia and United Kingdom. Jonathan L. Schaffer's co-authors include Parviz Kambin, Viktor E. Krebs, Prem N. Ramkumar, Heather S. Haeberle, Nilmini Wickramasinghe, Jaret M. Karnuta, L. C. Gerstenfeld, J. Matthew Helm, Jeffrey N. Katz and Andrew I. Spitzer and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Journal of Bone and Joint Surgery.

In The Last Decade

Jonathan L. Schaffer

98 papers receiving 3.2k citations

Hit Papers

Machine Learning and Artificial Intelligence: Definitions... 2020 2026 2022 2024 2020 100 200 300

Peers

Jonathan L. Schaffer
Comparison fields: 5 of 183
  • Surgery 1.5k
  • Pathology and Forensic Medicine 658
  • Biomedical Engineering 583
  • Pharmacology 398
  • Cell Biology 336
Replace Jun Kim with:
Jun Kim United States
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Jason Pui Yin Cheung Hong Kong
Sun‐Ho Lee South Korea
Wing P. Chan Taiwan
Michael J. Miller United States
Antti Mäkitie Finland
Aaron Daluiski United States
Michael Freeman United States
Adrian Sayers United Kingdom
Jun Kim United States View profile →
Citations per field, relative to Jonathan L. Schaffer
Jonathan L. Schaffer · 1×
Citations per year, relative to Jonathan L. Schaffer
Jonathan L. Schaffer · 1×

Countries citing papers authored by Jonathan L. Schaffer

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan L. Schaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan L. Schaffer. 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 Jonathan L. Schaffer. The network helps show where Jonathan L. Schaffer may publish in the future.

Co-authorship network of co-authors of Jonathan L. Schaffer

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan L. Schaffer. A scholar is included among the top collaborators of Jonathan L. Schaffer 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 Jonathan L. Schaffer. Jonathan L. Schaffer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 24
2 18
3
Machine Learning and Artificial Intelligence: Definitions, Applications, and Future Directions breakdown →
384
4
Initial Phase of Developing a Model to Predict Unplanned Readmissions in the Australian Private Healthcare Sector before they Occur: the Case of Hysterectomy.
1
5 0
6 28
7 16
8 19
9
Designing an intelligent risk detection framework using knowledge discovery techniques to improve efficiency and accuracy of healthcare care decision making
1
10 6
11
Optimization of Perioperative Processes Through Innovation and Technology for the Orthopaedic Operating Room of the Future
2
12 52
13
A Framework For Assessing E-Health Preparedness.
2
14
HealthAware: A Consumer Health Information Destination Which Links to a Health Care Delivery Network
3
15 76
16 125
17 26
18 48
19 11
20 5

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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