Ofir Ben‐Assuli

1.6k total citations
61 papers, 1.0k citations indexed

About

Ofir Ben‐Assuli is a scholar working on Health Information Management, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Ofir Ben‐Assuli has authored 61 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Health Information Management, 14 papers in Artificial Intelligence and 13 papers in Epidemiology. Recurrent topics in Ofir Ben‐Assuli's work include Electronic Health Records Systems (16 papers), Machine Learning in Healthcare (13 papers) and Artificial Intelligence in Healthcare (12 papers). Ofir Ben‐Assuli is often cited by papers focused on Electronic Health Records Systems (16 papers), Machine Learning in Healthcare (13 papers) and Artificial Intelligence in Healthcare (12 papers). Ofir Ben‐Assuli collaborates with scholars based in Israel, United States and Australia. Ofir Ben‐Assuli's co-authors include Itamar Shabtai, Moshe Leshno, Tsipi Heart, Rema Padman, Joshua R. Vest, Yakov Flaumenhaft, Shira Zelber‐Sagi, Ronit Endevelt, Sathish Kumar and Amitai Ziv and has published in prestigious journals such as MIS Quarterly, Decision Support Systems and Journal of the Association for Information Systems.

In The Last Decade

Ofir Ben‐Assuli

58 papers receiving 992 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ofir Ben‐Assuli Israel 18 403 223 166 133 120 61 1.0k
Thomas R. Campion United States 19 301 0.7× 187 0.8× 132 0.8× 143 1.1× 136 1.1× 64 988
Jürgen Stausberg Germany 24 358 0.9× 250 1.1× 139 0.8× 254 1.9× 56 0.5× 122 1.8k
Allison B. McCoy United States 24 606 1.5× 276 1.2× 365 2.2× 276 2.1× 88 0.7× 98 2.0k
Scott P. Narus United States 16 336 0.8× 222 1.0× 93 0.6× 147 1.1× 105 0.9× 58 796
Thomas Bürkle Germany 19 540 1.3× 237 1.1× 214 1.3× 219 1.6× 107 0.9× 104 1.4k
Shilo Anders United States 20 396 1.0× 373 1.7× 97 0.6× 224 1.7× 104 0.9× 79 1.5k
Seok Kim South Korea 17 186 0.5× 196 0.9× 159 1.0× 95 0.7× 38 0.3× 66 1.1k
Daniel Luna Argentina 16 278 0.7× 331 1.5× 100 0.6× 164 1.2× 81 0.7× 147 958
David Liebovitz United States 22 342 0.8× 531 2.4× 171 1.0× 226 1.7× 205 1.7× 63 1.5k

Countries citing papers authored by Ofir Ben‐Assuli

Since Specialization
Citations

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

Fields of papers citing papers by Ofir Ben‐Assuli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ofir Ben‐Assuli. 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 Ofir Ben‐Assuli. The network helps show where Ofir Ben‐Assuli may publish in the future.

Co-authorship network of co-authors of Ofir Ben‐Assuli

This figure shows the co-authorship network connecting the top 25 collaborators of Ofir Ben‐Assuli. A scholar is included among the top collaborators of Ofir Ben‐Assuli 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 Ofir Ben‐Assuli. Ofir Ben‐Assuli 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.
Goldman, Orit, et al.. (2025). Predicting metabolic syndrome: Machine learning techniques for improved preventive medicine. Health Informatics Journal. 31(1). 1227800978–1227800978. 1 indexed citations
2.
3.
Lederman, Reeva, Esther Brainin, & Ofir Ben‐Assuli. (2024). The Electronic Medical Record—A New Look at the Challenges and Opportunities. Future Internet. 16(3). 74–74.
4.
Ben‐Assuli, Ofir, Tsipi Heart, Robert Klempfner, & Rema Padman. (2023). Human-machine collaboration for feature selection and integration to improve congestive Heart failure risk prediction. Decision Support Systems. 172. 113982–113982. 18 indexed citations
5.
Ben‐Assuli, Ofir, Orit Goldman, Shani Shenhar‐Tsarfaty, et al.. (2022). Stratifying individuals into non-alcoholic fatty liver disease risk levels using time series machine learning models. Journal of Biomedical Informatics. 126. 103986–103986. 12 indexed citations
6.
Amar, Moty, et al.. (2021). Exploring the Combined Effects of Social Media Use and Medical Skepticism Tendency on Recourse to Complementary and Alternative Medicine. The Journal of Alternative and Complementary Medicine. 27(8). 710–712. 2 indexed citations
7.
Heart, Tsipi, et al.. (2021). Disease evolution and risk-based disease trajectories in congestive heart failure patients. Journal of Biomedical Informatics. 125. 103949–103949. 7 indexed citations
8.
Goldman, Orit, Ofir Ben‐Assuli, Ori Rogowski, et al.. (2021). Non-alcoholic Fatty Liver and Liver Fibrosis Predictive Analytics: Risk Prediction and Machine Learning Techniques for Improved Preventive Medicine. Journal of Medical Systems. 45(2). 22–22. 13 indexed citations
9.
Ben‐Assuli, Ofir, et al.. (2020). Fear of Hospital-Acquired Infections: The Combined Impact of Patient’s Hygiene Sensitivity and Perceived Staff Preventive Behavior. Journal of Community Health. 45(6). 1211–1219. 7 indexed citations
10.
Ben‐Assuli, Ofir & Joshua R. Vest. (2019). Data mining techniques utilizing latent class models to evaluate emergency department revisits. Journal of Biomedical Informatics. 101. 103341–103341. 11 indexed citations
11.
Zelber‐Sagi, Shira, et al.. (2019). Low serum vitamin D is independently associated with unexplained elevated ALT only among non-obese men in the general population. Annals of Hepatology. 18(4). 578–584. 4 indexed citations
12.
Vest, Joshua R. & Ofir Ben‐Assuli. (2018). Contribution of Different Data Sources to the Prediction of Emergency Department Revisits in a Safety-Net Population. Journal of the Association for Information Systems. 3 indexed citations
13.
Ben‐Assuli, Ofir, et al.. (2016). Cost-Effectiveness Evaluation of EHR: Simulation of an Abdominal Aortic Aneurysm in the Emergency Department. Journal of Medical Systems. 40(6). 141–141. 13 indexed citations
14.
Ben‐Assuli, Ofir, et al.. (2015). Improving diagnostic accuracy using EHR in emergency departments: A simulation-based study. Journal of Biomedical Informatics. 55. 31–40. 43 indexed citations
15.
Ben‐Assuli, Ofir, et al.. (2014). Improving Diagnostic Accuracy Using EHR in Emergency Departments: A Simulation-Based Study.. Journal of the Association for Information Systems. 7 indexed citations
16.
Ben‐Assuli, Ofir. (2014). Electronic health records, adoption, quality of care, legal and privacy issues and their implementation in emergency departments. Health Policy. 119(3). 287–297. 111 indexed citations
17.
Ben‐Assuli, Ofir, Itamar Shabtai, & Moshe Leshno. (2014). ADOPTION OF ELECTRONIC HEALTH RECORDS SYSTEM: DIFFERENTIATING MAIN ASSOCIATIONS. Journal of the Association for Information Systems. 1 indexed citations
18.
Ben‐Assuli, Ofir, Itamar Shabtai, Moshe Leshno, & Shawndra Hill. (2013). Improving Medical Decision-Making Using Electronic Health Record Systems. International Conference on Information Systems. 1 indexed citations
19.
Ben‐Assuli, Ofir, Itamar Shabtai, & Moshe Leshno. (2013). The impact of EHR and HIE on reducing avoidable admissions: controlling main differential diagnoses. BMC Medical Informatics and Decision Making. 13(1). 49–49. 59 indexed citations
20.
Lichtenstein, Yossi, Itamar Shabtai, Irena Milstein, & Ofir Ben‐Assuli. (2010). Social Influence and Network Effects in the Diffusion of A Healthcare Information Exchange System. Journal of the Association for Information Systems. 55. 1 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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