Yaniv Kerem

1.4k total citations · 1 hit paper
13 papers, 925 citations indexed

About

Yaniv Kerem is a scholar working on Epidemiology, Surgery and Artificial Intelligence. According to data from OpenAlex, Yaniv Kerem has authored 13 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Surgery and 4 papers in Artificial Intelligence. Recurrent topics in Yaniv Kerem's work include Machine Learning in Healthcare (4 papers), Sepsis Diagnosis and Treatment (4 papers) and Emergency and Acute Care Studies (2 papers). Yaniv Kerem is often cited by papers focused on Machine Learning in Healthcare (4 papers), Sepsis Diagnosis and Treatment (4 papers) and Emergency and Acute Care Studies (2 papers). Yaniv Kerem collaborates with scholars based in United States and United Kingdom. Yaniv Kerem's co-authors include Melissa Jay, Ritankar Das, Jacob Calvert, Uli K. Chettipally, Jana Hoffman, David Shimabukuro, Lisa Shieh, Chris W. Barton, Thomas Desautels and Erik Kulstad and has published in prestigious journals such as Journal of Thoracic and Cardiovascular Surgery, The Annals of Thoracic Surgery and BMJ Open.

In The Last Decade

Yaniv Kerem

13 papers receiving 886 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach

2016 339 citations Thomas Desautels, Jacob Calvert et al. JMIR Medical Informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaniv Kerem United States	12	436	389	179	171	156	13	925
David Shimabukuro United States	11	593 1.4×	491 1.3×	98 0.5×	150 0.9×	172 1.1×	12	1.1k
Andre L. Holder United States	15	678 1.6×	480 1.2×	160 0.9×	363 2.1×	209 1.3×	39	1.4k
Kyle A. Carey United States	18	555 1.3×	197 0.5×	238 1.3×	210 1.2×	181 1.2×	63	1.2k
Melissa Jay United States	8	625 1.4×	597 1.5×	71 0.4×	136 0.8×	99 0.6×	11	925
Cara O’Brien United States	14	538 1.2×	233 0.6×	128 0.7×	143 0.8×	76 0.5×	20	1.2k
Matthew D. Stanley United States	6	381 0.9×	352 0.9×	63 0.4×	131 0.8×	71 0.5×	8	681
Gabriel Wardi United States	17	370 0.8×	184 0.5×	136 0.8×	146 0.9×	123 0.8×	75	779
Patrick Thoral Netherlands	15	447 1.0×	351 0.9×	67 0.4×	134 0.8×	88 0.6×	37	966
Asaf Hanish United States	13	458 1.1×	196 0.5×	112 0.6×	102 0.6×	64 0.4×	16	1.0k
Jesse D. Raffa United States	16	1.6k 3.6×	546 1.4×	144 0.8×	230 1.3×	167 1.1×	43	2.4k

Countries citing papers authored by Yaniv Kerem

Since Specialization

Citations

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

Fields of papers citing papers by Yaniv Kerem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaniv Kerem

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

All Works

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13 of 13 papers shown

Skeff, Kelley M., Cati Brown‐Johnson, Steven M. Asch, et al.. (2022). Professional Behavior and Value Erosion: A Qualitative Study of Physicians and the Electronic Health Record. Journal of Healthcare Management. 67(5). 339–352. 13 indexed citations

Aschbacher, Kirstin, Yaniv Kerem, Stuart L. Crawford, et al.. (2020). Atrial fibrillation detection from raw photoplethysmography waveforms: A deep learning application. Heart Rhythm O2. 1(1). 3–9. 45 indexed citations

Mao, Qingqing, Melissa Jay, Jana Hoffman, et al.. (2018). Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU. BMJ Open. 8(1). e017833–e017833. 229 indexed citations

Desautels, Thomas, Jacob Calvert, Jana Hoffman, et al.. (2017). Using Transfer Learning for Improved Mortality Prediction in a Data-Scarce Hospital Setting. PubMed. 9. 2718907427–2718907427. 40 indexed citations

Calvert, Jacob, Jana Hoffman, Christopher Barton, et al.. (2017). Cost and mortality impact of an algorithm-driven sepsis prediction system. Journal of Medical Economics. 20(6). 646–651. 20 indexed citations

Desautels, Thomas, Jacob Calvert, Jana Hoffman, et al.. (2016). Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach. JMIR Medical Informatics. 4(3). e28–e28. 339 indexed citations breakdown →

Kerem, Yaniv, et al.. (2015). Application of a scoring instrument to predict intracerebral hemorrhage and outcome after thrombolysis for acute ischemic stroke. Journal of Emergencies Trauma and Shock. 8(3). 171–171. 2 indexed citations

Kerem, Yaniv, et al.. (2013). The Role of Prehospital Electrocardiograms in the Recognition of ST-Segment Elevation Myocardial Infarctions and Reperfusion Times. Journal of Emergency Medicine. 46(2). 202–207. 13 indexed citations

Kerem, Yaniv, et al.. (2013). Emergency Department Crowding is Associated with Reduced Satisfaction Scores in Patients Discharged from the Emergency Department. Western Journal of Emergency Medicine. 14(1). 11–15. 88 indexed citations

10.

Kerem, Yaniv, et al.. (2012). Evaluation of the revised trauma and injury severity scores in elderly trauma patients. Journal of Emergencies Trauma and Shock. 5(2). 131–131. 33 indexed citations

11.

Port, Jeffrey L., Robert J. Korst, Paul C. Lee, et al.. (2007). Surgical Resection for Multifocal (T4) Non-Small Cell Lung Cancer: Is the T4 Designation Valid?. The Annals of Thoracic Surgery. 83(2). 397–400. 32 indexed citations

12.

Korst, Robert J., Amanda L. Kansler, Jeffrey L. Port, et al.. (2006). Downstaging of T or N Predicts Long-Term Survival After Preoperative Chemotherapy and Radical Resection for Esophageal Carcinoma. The Annals of Thoracic Surgery. 82(2). 480–485. 40 indexed citations

13.

Lee, Paul C., Robert J. Korst, Jeffrey L. Port, et al.. (2006). Long-term survival and recurrence in patients with resected non–small cell lung cancer 1 cm or less in size. Journal of Thoracic and Cardiovascular Surgery. 132(6). 1382–1388. 31 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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