Lisa Stump
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
- Emergency Medical Services top 10%
- Patient Safety and Medication Errors
Papers in
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- Pharmaceutical Practices and Patient Outcomes 2
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- Adversarial Robustness in Machine Learning 1
- Co-authors
- Mohammed Quader (1 shared paper)Bauer E. Sumpio (1 shared paper)Allen Hsiao (2 shared papers)Vera Sorin (1 shared paper)David Reich (1 shared paper)Jeremy D. Collins (1 shared paper)Nicola Luigi Bragazzi (1 shared paper)Alexander W. Charney (3 shared papers)
- Journals
- American Journal of Health-System Pharmacy (2 papers)Applied Clinical Informatics (2 papers)npj Digital Medicine (1 paper)Journal of the American College of Surgeons (1 paper)The Joint Commission Journal on Quality and Patient Safety (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Lisa Stump
9 papers receiving 155 citations
Peers
Comparison fields: 5 of 54
- Internal Medicine 23
- Emergency Medical Services 39
- Health Informatics 8
- Geriatrics and Gerontology 15
- Pharmacy 12
Countries citing papers authored by Lisa Stump
This map shows the geographic impact of Lisa Stump'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 Lisa Stump with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Stump more than expected).
Fields of papers citing papers by Lisa Stump
This network shows the impact of papers produced by Lisa Stump. 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 Lisa Stump. The network helps show where Lisa Stump may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisa Stump, 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 | 2000 | 58 | |
| 2 | 1998 | 44 | |
| 3 | 2025 | 21 | |
| 4 | 2020 | 17 | |
| 5 | 2022 | 12 | |
| 6 | 1999 | 5 | |
| 7 | 2019 | 3 | |
| 8 | 2025 | 2 | |
| 9 | 2002 | 1 | |
| 10 | Blogging to Drive Business Create and Maintain Valuable Customer Connections | 2010 | 1 |
| 11 | 2026 | 0 |
About Lisa Stump
Lisa Stump is a scholar working on Geriatrics and Gerontology, Artificial Intelligence, Public Health, Environmental and Occupational Health, Emergency Medical Services and Communication, having authored 11 papers that have together received 164 indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (2 papers), Telemedicine and Telehealth Implementation (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Patient Safety and Medication Errors (1 paper), Disaster Response and Management (1 paper), Adversarial Robustness in Machine Learning (1 paper), Disaster Management and Resilience (1 paper) and Acute Myocardial Infarction Research (1 paper). The work is most often cited by research in Internal Medicine (23 citations), Emergency Medical Services (39 citations), Health Informatics (8 citations), Geriatrics and Gerontology (15 citations) and Pharmacy (12 citations). Lisa Stump has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Mohammed Quader, Bauer E. Sumpio, Allen Hsiao, Vera Sorin, David Reich, Jeremy D. Collins, Nicola Luigi Bragazzi, Alexander W. Charney, Mahmud Omar and Robert Freeman. Their work appears in journals such as American Journal of Health-System Pharmacy, Applied Clinical Informatics, npj Digital Medicine, Journal of the American College of Surgeons and The Joint Commission Journal on Quality and Patient Safety.
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.