Jeremy A. Balch

955 total citations
45 papers, 455 citations indexed

About

Jeremy A. Balch is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Health Informatics. According to data from OpenAlex, Jeremy A. Balch has authored 45 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 11 papers in Cardiology and Cardiovascular Medicine and 11 papers in Health Informatics. Recurrent topics in Jeremy A. Balch's work include Artificial Intelligence in Healthcare and Education (11 papers), Cardiac, Anesthesia and Surgical Outcomes (10 papers) and Machine Learning in Healthcare (9 papers). Jeremy A. Balch is often cited by papers focused on Artificial Intelligence in Healthcare and Education (11 papers), Cardiac, Anesthesia and Surgical Outcomes (10 papers) and Machine Learning in Healthcare (9 papers). Jeremy A. Balch collaborates with scholars based in United States, Switzerland and Italy. Jeremy A. Balch's co-authors include Tyler J. Loftus, Azra Bihorac, Philip A. Efron, Gilbert R. Upchurch, Parisa Rashidi, Patrick Tighe, Tezcan Ozrazgat‐Baslanti, Benjamin Shickel, Matthew M. Ruppert and William R. Hogan and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Annals of Surgery.

In The Last Decade

Jeremy A. Balch

37 papers receiving 440 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeremy A. Balch United States 13 120 97 86 83 63 45 455
Fawad Qureshi United States 12 61 0.5× 102 1.1× 159 1.8× 85 1.0× 23 0.4× 49 488
Ben J. Marafino United States 11 76 0.6× 137 1.4× 48 0.6× 46 0.6× 26 0.4× 18 447
Hassan Mumtaz Pakistan 13 82 0.7× 32 0.3× 75 0.9× 89 1.1× 41 0.7× 117 596
Qinyu Zhao China 13 141 1.2× 50 0.5× 30 0.3× 89 1.1× 49 0.8× 28 582
Laura Stevens United States 10 73 0.6× 63 0.6× 48 0.6× 31 0.4× 93 1.5× 18 490
Gina Barnes United States 13 104 0.9× 129 1.3× 78 0.9× 28 0.3× 44 0.7× 31 486
Laura Ruth Venable United States 7 98 0.8× 100 1.0× 26 0.3× 41 0.5× 56 0.9× 14 394
Liebin Zhao China 14 72 0.6× 58 0.6× 47 0.5× 35 0.4× 70 1.1× 37 505
Davy van de Sande Netherlands 8 90 0.8× 111 1.1× 152 1.8× 116 1.4× 28 0.4× 17 394
Patrik Bächtiger United Kingdom 9 105 0.9× 25 0.3× 29 0.3× 19 0.2× 44 0.7× 22 300

Countries citing papers authored by Jeremy A. Balch

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy A. Balch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeremy A. Balch. 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 Jeremy A. Balch. The network helps show where Jeremy A. Balch may publish in the future.

Co-authorship network of co-authors of Jeremy A. Balch

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy A. Balch. A scholar is included among the top collaborators of Jeremy A. Balch 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 Jeremy A. Balch. Jeremy A. Balch 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.
Balch, Jeremy A., Victoria Nolan, Ahmet Bilgili, et al.. (2025). Language Models for Multilabel Document Classification of Surgical Concepts in Exploratory Laparotomy Operative Notes: Algorithm Development Study. JMIR Medical Informatics. 13. e71176–e71176. 1 indexed citations
2.
Contreras, Miguel Á., Benjamin Shickel, Tezcan Ozrazgat‐Baslanti, et al.. (2025). Real-time prediction of intensive care unit patient acuity and therapy requirements using state-space modelling. Nature Communications. 16(1). 7315–7315.
3.
Nolan, Victoria, Jeremy A. Balch, Benjamin Shickel, et al.. (2024). Incorporating Patient Values in Large Language Model Recommendations for Surrogate and Proxy Decisions. Critical Care Explorations. 6(8). e1131–e1131. 5 indexed citations
4.
Loftus, Tyler J., Jeremy A. Balch, Jenna L. Marquard, et al.. (2024). Longitudinal clinical decision support for assessing decisions over time: State-of-the-art and future directions. Digital Health. 10. 599893637–599893637. 1 indexed citations
5.
Loftus, Tyler J., Matthew M. Ruppert, Benjamin Shickel, et al.. (2024). Association of Sociodemographic Factors With Overtriage, Undertriage, and Value of Care After Major Surgery. SHILAP Revista de lepidopterología. 5(2). e429–e429.
6.
Loftus, Tyler J., Jeremy A. Balch, Kenneth L. Abbott, et al.. (2024). Community-engaged artificial intelligence research: A scoping review. SHILAP Revista de lepidopterología. 3(8). e0000561–e0000561. 8 indexed citations
7.
Ruppert, Matthew M., Jeremy A. Balch, Tezcan Ozrazgat‐Baslanti, et al.. (2024). Electronic Health Record Data Quality and Performance Assessments: Scoping Review. JMIR Medical Informatics. 12. e58130–e58130. 1 indexed citations
8.
Balch, Jeremy A., Benjamin Shickel, Azra Bihorac, Gilbert R. Upchurch, & Tyler J. Loftus. (2024). Integration of AI in surgical decision support: improving clinical judgment. Global Surgical Education - Journal of the Association for Surgical Education. 3(1).
9.
Ren, Yuanfang, Yanjun Li, Tyler J. Loftus, et al.. (2024). Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures. Scientific Reports. 14(1). 8442–8442. 1 indexed citations
10.
Balch, Jeremy A. & Tyler J. Loftus. (2023). Actionable artificial intelligence: Overcoming barriers to adoption of prediction tools. Surgery. 174(3). 730–732. 4 indexed citations
11.
12.
Filiberto, Amanda C., Patrick W. Underwood, Kenneth L. Abbott, et al.. (2023). Surgical resident experience with common bile duct exploration and assessment of performance and autonomy with formative feedback. World Journal of Emergency Surgery. 18(1). 13–13. 2 indexed citations
13.
Balch, Jeremy A., Tyler J. Loftus, Philip A. Efron, et al.. (2023). Survival and neurologic outcomes following aortic occlusion for trauma and hemorrhagic shock in a hybrid operating room. World Journal of Emergency Surgery. 18(1). 21–21. 4 indexed citations
14.
Balch, Jeremy A., Matthew M. Ruppert, Tyler J. Loftus, et al.. (2023). Machine Learning–Enabled Clinical Information Systems Using Fast Healthcare Interoperability Resources Data Standards: Scoping Review. JMIR Medical Informatics. 11. e48297–e48297. 21 indexed citations
15.
Balch, Jeremy A., et al.. (2023). Methods and evaluation metrics for reducing material waste in the operating room: a scoping review. Surgery. 174(2). 252–258. 3 indexed citations
16.
17.
Loftus, Tyler J., Matthew M. Ruppert, Benjamin Shickel, et al.. (2022). Federated learning for preserving data privacy in collaborative healthcare research. Digital Health. 8. 2282130448–2282130448. 32 indexed citations
18.
Loftus, Tyler J., Benjamin Shickel, Matthew M. Ruppert, et al.. (2022). Uncertainty-aware deep learning in healthcare: A scoping review. SHILAP Revista de lepidopterología. 1(8). e0000085–e0000085. 28 indexed citations
19.
Balch, Jeremy A., Philip A. Efron, Azra Bihorac, & Tyler J. Loftus. (2022). Gamification for Machine Learning in Surgical Patient Engagement. Frontiers in Surgery. 9. 896351–896351. 9 indexed citations
20.
Balch, Jeremy A., et al.. (2020). Prevalence and extent of industry support for program directors of surgical fellowships in the United States. Surgery. 168(6). 1101–1105. 3 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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