Mary K. Goldstein
- Geriatrics and Gerontology top 0.2%
- Pharmaceutical Practices and Patient Outcomes 17
- Family Practice top 0.5%
- Health Information Management top 0.1%
- Electronic Health Records Systems 39
- Health Informatics top 2%
- General Health Professions top 0.5%
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- Health Systems, Economic Evaluations, Quality of Life 27
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- Clinical practice guidelines implementation 22
- Palliative Care and End-of-Life Issues 9
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- Biomedical Text Mining and Ontologies 20
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- Blood Pressure and Hypertension Studies 17
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- Chronic Disease Management Strategies 15
Mary K. Goldstein
157 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Geriatrics and Gerontology 1.1k
- Family Practice 399
- Health Information Management 615
- Health Informatics 73
- General Health Professions 1.4k
Countries citing papers authored by Mary K. Goldstein
This map shows the geographic impact of Mary K. 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 Mary K. Goldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary K. Goldstein more than expected).
Fields of papers citing papers by Mary K. Goldstein
This network shows the impact of papers produced by Mary K. 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 Mary K. Goldstein. The network helps show where Mary K. Goldstein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mary K. Goldstein, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2020 | 13 | |
| 5 | 2018 | 28 | |
| 6 | Automating Guidelines for Clinical Decision Support: Knowledge Engineering and Implementation. | 2016 | 22 |
| 7 | Usability of an Automated Recommender System for Clinical Order Entry. | 2016 | 2 |
| 8 | Development of a Taxonomy of Setting-Specific Factors for Adaptation of Clinical Decision Support Rules. | 2012 | 1 |
| 9 | 2012 | 27 | |
| 10 | 2011 | 23 | |
| 11 | 2008 | 17 | |
| 12 | 2008 | 28 | |
| 13 | 2005 | 32 | |
| 14 | Health Care Screening and Older Adults: For How Long and on Whom? | 2004 | 1 |
| 15 | 2004 | 61 | |
| 16 | A Client-Server Framework for Deploying a Decision-support System in a Resource-constrained Environment | 2001 | 1 |
| 17 | Explanations for a Hypertension Decision Support System. | 2000 | 1 |
| 18 | 1999 | 6 | |
| 19 | 1999 | 7 | |
| 20 | Managing Early Alzheimer's Disease | 1991 | 3 |
About Mary K. Goldstein
Mary K. Goldstein is a scholar working on Health Information Management, Geriatrics and Gerontology and Family Practice, having authored 161 papers that have together received 5.4k indexed citations. Recurring topics across this work include Electronic Health Records Systems (39 papers), Health Systems, Economic Evaluations, Quality of Life (27 papers), Clinical practice guidelines implementation (22 papers), Biomedical Text Mining and Ontologies (20 papers), Blood Pressure and Hypertension Studies (17 papers), Pharmaceutical Practices and Patient Outcomes (17 papers), Chronic Disease Management Strategies (15 papers) and Palliative Care and End-of-Life Issues (9 papers). The work is most often cited by research in Geriatrics and Gerontology (1.1k citations), Family Practice (399 citations) and Health Information Management (615 citations). Mary K. Goldstein has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Brian B. Hoffman, Terri R. Fried, John R. O’Leary, Deanna K. Martin, Virginia Towle, Mark Trentalange, Eugene Ž. Oddone, Alan M. Garber, Hayden B. Bosworth and Susana B. Martins. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.
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.