Jacob F. Oeding

781 total citations
62 papers, 379 citations indexed

About

Jacob F. Oeding is a scholar working on Surgery, Health Informatics and Epidemiology. According to data from OpenAlex, Jacob F. Oeding has authored 62 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Surgery, 19 papers in Health Informatics and 14 papers in Epidemiology. Recurrent topics in Jacob F. Oeding's work include Artificial Intelligence in Healthcare and Education (19 papers), Shoulder Injury and Treatment (18 papers) and Total Knee Arthroplasty Outcomes (15 papers). Jacob F. Oeding is often cited by papers focused on Artificial Intelligence in Healthcare and Education (19 papers), Shoulder Injury and Treatment (18 papers) and Total Knee Arthroplasty Outcomes (15 papers). Jacob F. Oeding collaborates with scholars based in United States, Sweden and Switzerland. Jacob F. Oeding's co-authors include Ayoosh Pareek, Christopher L. Camp, Riley J. Williams, Joaquín Sánchez‐Sotelo, Jón Karlsson, Kyle N. Kunze, R. Kyle Martin, Kristian Samuelsson, Claudette M. Lajam and Benedict U. Nwachukwu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Sports Medicine and Arthroscopy The Journal of Arthroscopic and Related Surgery.

In The Last Decade

Jacob F. Oeding

49 papers receiving 374 citations

Peers

Jacob F. Oeding
Amanda Lans United States
Jeremy A. Dubin United States
Stephen M. Engstrom United States
Andrew S. Zhang United States
Luilly Vargas United States
Ian J. Wellington United States
Amanda Lans United States
Jacob F. Oeding
Citations per year, relative to Jacob F. Oeding Jacob F. Oeding (= 1×) peers Amanda Lans

Countries citing papers authored by Jacob F. Oeding

Since Specialization
Citations

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

Fields of papers citing papers by Jacob F. Oeding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob F. Oeding. 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 Jacob F. Oeding. The network helps show where Jacob F. Oeding may publish in the future.

Co-authorship network of co-authors of Jacob F. Oeding

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob F. Oeding. A scholar is included among the top collaborators of Jacob F. Oeding 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 Jacob F. Oeding. Jacob F. Oeding 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
1.
Zsidai, Bálint, Jacob F. Oeding, Michael T. Hirschmann, et al.. (2025). Beyond traditional orthopaedic data analysis: AI, multimodal models and continuous monitoring. Knee Surgery Sports Traumatology Arthroscopy. 33(6). 2269–2275. 5 indexed citations
2.
Zsidai, Bálint, et al.. (2025). Artificial Intelligence and Musculoskeletal Surgical Applications. HSS Journal® The Musculoskeletal Journal of Hospital for Special Surgery. 21(3). 267–273. 1 indexed citations
4.
Zsidai, Bálint, Jacob F. Oeding, Michael T. Hirschmann, et al.. (2025). Artificial intelligence‐assisted analysis of musculoskeletal imaging—A narrative review of the current state of machine learning models. Knee Surgery Sports Traumatology Arthroscopy. 33(8). 3032–3038. 4 indexed citations
5.
Oeding, Jacob F., et al.. (2024). Patellofemoral Osteoarthritis, Should We Replace or Osteotomize?. Operative Techniques in Sports Medicine. 32(2). 151083–151083.
6.
Oeding, Jacob F., Amy Lu, Michael C. Fu, et al.. (2024). Effectiveness of a large language model for clinical information retrieval regarding shoulder arthroplasty. Journal of Experimental Orthopaedics. 11(4). e70114–e70114.
7.
Oeding, Jacob F., et al.. (2024). Leveraging digital twins for improved orthopaedic evaluation and treatment. Journal of Experimental Orthopaedics. 11(4). e70084–e70084. 13 indexed citations
8.
Oeding, Jacob F., et al.. (2024). Explainable artificial intelligence in orthopedic surgery. Journal of Experimental Orthopaedics. 11(3). e12103–e12103. 6 indexed citations
9.
Pareek, Ayoosh, Philipp W. Winkler, Bálint Zsidai, et al.. (2024). A practical guide to the implementation of AI in orthopaedic research, Part 6: How to evaluate the performance of AI research?. Journal of Experimental Orthopaedics. 11(3). e12039–e12039. 11 indexed citations
10.
Khosravi, Bardia, Jacob F. Oeding, Bradley J. Erickson, et al.. (2024). Characterizing hip joint morphology using a multitask deep learning model. Journal of Hip Preservation Surgery. 12(1). 27–32. 2 indexed citations
12.
Oeding, Jacob F., Kyle N. Kunze, Riley J. Williams, et al.. (2024). Diagnostic performance of deep learning for leg length measurements on radiographs in leg length discrepancy: A systematic review. Journal of Experimental Orthopaedics. 11(4). e70080–e70080. 1 indexed citations
13.
Oeding, Jacob F., Amy Lu, Michael C. Fu, et al.. (2024). ChatGPT‐4 Performs Clinical Information Retrieval Tasks Using Consistently More Trustworthy Resources Than Does Google Search for Queries Concerning the Latarjet Procedure. Arthroscopy The Journal of Arthroscopic and Related Surgery. 41(3). 588–597. 14 indexed citations
14.
Oeding, Jacob F., Aaron J. Krych, Andrew D. Pearle, Bryan T. Kelly, & Kyle N. Kunze. (2024). Medical Imaging Applications Developed Using Artificial Intelligence Demonstrate High Internal Validity Yet Are Limited in Scope and Lack External Validation. Arthroscopy The Journal of Arthroscopic and Related Surgery. 41(2). 455–472. 8 indexed citations
15.
Senorski, Eric Hamrin, et al.. (2024). Artificial intelligence‐assisted ultrasound‐guided regional anaesthesia: An explorative scoping review. Journal of Experimental Orthopaedics. 11(3). e12104–e12104. 3 indexed citations
17.
Bloom, David A., et al.. (2023). Rapid Adoption of Telemedicine Increases Opioid Prescribing in Orthopedic Surgery. Telemedicine Journal and e-Health. 29(9). 1399–1403. 3 indexed citations
18.
Oeding, Jacob F., Ayoosh Pareek, Mario Hevesi, et al.. (2023). Autologous Osteochondral Transfer of the Knee Demonstrates Continued High Rates of Return to Sport and Low Rates of Conversion to Arthroplasty at Long‐Term Follow‐Up: A Systematic Review. Arthroscopy The Journal of Arthroscopic and Related Surgery. 40(6). 1938–1949. 4 indexed citations
19.
Oeding, Jacob F., Riley J. Williams, Christopher L. Camp, et al.. (2023). A practical guide to the development and deployment of deep learning models for the orthopedic surgeon: part II. Knee Surgery Sports Traumatology Arthroscopy. 31(5). 1635–1643. 26 indexed citations
20.
Oeding, Jacob F., et al.. (2021). Posterior Tibial Slope, Notch Width, Condylar Morphology, Trochlear Inclination, and Tibiofemoral Mismatch Predict Outcomes Following Anterior Cruciate Ligament Reconstruction. Arthroscopy The Journal of Arthroscopic and Related Surgery. 38(5). 1689–1704.e1. 7 indexed citations

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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