Yaniv Kerem
- Health Informatics top 2%
- Family Practice top 2%
- Emergency Medicine top 5%
- Emergency and Acute Care Studies 2
- Epidemiology top 10%
- Sepsis Diagnosis and Treatment 4
-
- Machine Learning in Healthcare 4
-
- Lung Cancer Diagnosis and Treatment 2
- Lung Cancer Treatments and Mutations 2
-
- Statistical Methods in Epidemiology 2
-
- Hemodynamic Monitoring and Therapy 2
-
- ECG Monitoring and Analysis 1
- Co-authors
- Melissa JayRitankar DasJacob CalvertUli K. ChettipallyJana HoffmanDavid ShimabukuroLisa ShiehChris W. Barton
- Journals
- Journal of Thoracic and Cardiovascular Surgery (1 paper)The Annals of Thoracic Surgery (2 papers)BMJ Open (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Yaniv Kerem
13 papers receiving 886 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Health Informatics 82
- Family Practice 100
- Health Information Management 92
- Emergency Medicine 179
- Epidemiology 436
Countries citing papers authored by Yaniv Kerem
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
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
The 25 scholars most cited alongside Yaniv Kerem, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 13 | |
| 2 | 2020 | 45 | |
| 3 | 2018 | 229 | |
| 4 | 2017 | 40 | |
| 5 | 2017 | 20 | |
| 6 | Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approachbreakdown → | 2016 | 339 |
| 7 | 2015 | 2 | |
| 8 | 2013 | 13 | |
| 9 | 2013 | 88 | |
| 10 | 2012 | 33 | |
| 11 | 2007 | 32 | |
| 12 | 2006 | 40 | |
| 13 | 2006 | 31 |
About Yaniv Kerem
Yaniv Kerem is a scholar working on Emergency Medicine, Statistics and Probability and Rehabilitation, having authored 13 papers that have together received 925 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (4 papers), Sepsis Diagnosis and Treatment (4 papers), Emergency and Acute Care Studies (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Statistical Methods in Epidemiology (2 papers), Hemodynamic Monitoring and Therapy (2 papers), Lung Cancer Treatments and Mutations (2 papers) and ECG Monitoring and Analysis (1 paper). The work is most often cited by research in Health Informatics (82 citations), Family Practice (100 citations) and Health Information Management (92 citations). Yaniv Kerem has collaborated with scholars based in United States and United Kingdom. Frequent 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. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, The Annals of Thoracic Surgery and BMJ Open.
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.