Benjamin A. Goldstein

150 papers receiving 5.8k citations

Benjamin A. Goldstein's Hit Papers

Ethics in Patient Preferences for Artificial Intelligence–Drafted Responses to Electronic Messages 2025 · 12 citations
120+3+6Years since publication100200300400500

Peers

Benjamin A. Goldstein
Comparison fields: 5 of 194
  • Health Informatics 285
  • Health Information Management 455
  • Transplantation 249
  • Aging 83
  • Cardiology and Cardiovascular Medicine 996
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Countries citing papers authored by Benjamin A. Goldstein

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin A. Goldstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benjamin A. Goldstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benjamin A. Goldstein Line = papers co-authored together Benjamin A. Goldstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review
Hit paper breakdown →
2016548
2
Investigating sources of inaccuracy in wearable optical heart rate sensors
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2020410
3
Moving beyond regression techniques in cardiovascular risk prediction: applying machine learning to address analytic challenges
Hit paper breakdown →
2016363
4 2014231
5 2011194
6 2017163
7 2010160
8 2015140
9 2005138
10 2016116
11 2013115
12 2005111
13 2015107
14 201897
15 201396
16
of Neurology affirms the value of this guideline. Outcomes Research Interdisciplinary Working Group: The American Academy Physical Activity, and Metabolism Council; and the Quality of Care and Cardiovascular Nursing Council; Clinical Cardiology Council; Nutrition, Atherosclerotic Peripheral Vascular Disease Interdisciplinary Working Group; Association/American Stroke Association Stroke Council: Cosponsored by the Primary Prevention of Ischemic Stroke: A Guideline From the American Heart
200694
17 201188
18 202082
19 202275
20 201275

About Benjamin A. Goldstein

Benjamin A. Goldstein is a scholar working on General Health Professions, Epidemiology, Artificial Intelligence, Cardiology and Cardiovascular Medicine and Economics and Econometrics, having authored 163 papers that have together received 5.9k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (24 papers), Sepsis Diagnosis and Treatment (12 papers), Healthcare Policy and Management (11 papers), Genetic Associations and Epidemiology (9 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Emergency and Acute Care Studies (9 papers), Dialysis and Renal Disease Management (9 papers) and Health disparities and outcomes (8 papers). The work is most often cited by research in Health Informatics (285 citations), Health Information Management (455 citations), Transplantation (249 citations), Aging (83 citations) and Cardiology and Cardiovascular Medicine (996 citations). Benjamin A. Goldstein has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Ann Marie Návar, Michael Pencina, John P. A. Ioannidis, Morton A. Lieberman, Rickey E. Carter, Jessilyn Dunn, Brinnae Bent, Warren A. Kibbe, Wolfgang C. Winkelmayer­ and Matthew Phelan. Their work appears in journals such as Journal of the American Medical Informatics Association, JAMA Network Open, Clinical Journal of the American Society of Nephrology, Early Intervention in Psychiatry and American Journal of Kidney Diseases.

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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