Maia Hightower
Impact in
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- Electronic Health Records Systems
Papers in
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- Artificial Intelligence in Healthcare and Education 4
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- Diversity and Career in Medicine 4
- Co-authors
- Matthew D. Krasowski (4 shared papers)Esper G. Kallás (1 shared paper)Nicole Nisly (2 shared papers)Katherine L. Imborek (2 shared papers)Kenneth G. Nepple (1 shared paper)Tina Hernandez‐Boussard (1 shared paper)Helen Burstin (1 shared paper)Shazia Mehmood Siddique (1 shared paper)
- Journals
- Journal of Pathology Informatics (2 papers)npj Digital Medicine (1 paper)BMC Medical Education (1 paper)Journal of the American Medical Informatics Association (1 paper)Frontiers in Big Data (1 paper)
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
Maia Hightower
12 papers receiving 160 citations
Peers
Comparison fields: 5 of 57
- Health Information Management 44
- Health Informatics 6
- Virology 9
- Gender Studies 15
- Social Psychology 26
Countries citing papers authored by Maia Hightower
This map shows the geographic impact of Maia Hightower'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 Maia Hightower with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maia Hightower more than expected).
Fields of papers citing papers by Maia Hightower
This network shows the impact of papers produced by Maia Hightower. 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 Maia Hightower. The network helps show where Maia Hightower may publish in the future.
Co-authors
The 25 scholars most cited alongside Maia Hightower, 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 | 2018 | 42 | |
| 2 | 2017 | 24 | |
| 3 | 2017 | 24 | |
| 4 | 2018 | 14 | |
| 5 | 2003 | 14 | |
| 6 | 2022 | 13 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 10 | |
| 9 | 2019 | 3 | |
| 10 | 2022 | 3 | |
| 11 | 2026 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Maia Hightower
Maia Hightower is a scholar working on Health Informatics, Gender Studies, Health Information Management, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 15 papers that have together received 163 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (4 papers), Diversity and Career in Medicine (4 papers), Electronic Health Records Systems (3 papers), Medical Education and Admissions (1 paper), Global Health Workforce Issues (1 paper), Health and Medical Research Impacts (1 paper), Healthcare Systems and Technology (1 paper) and LGBTQ Health, Identity, and Policy (1 paper). The work is most often cited by research in Health Information Management (44 citations), Health Informatics (6 citations), Virology (9 citations), Gender Studies (15 citations) and Social Psychology (26 citations). Maia Hightower has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Matthew D. Krasowski, Esper G. Kallás, Nicole Nisly, Katherine L. Imborek, Kenneth G. Nepple, Tina Hernandez‐Boussard, Helen Burstin, Shazia Mehmood Siddique, Arlene S. Bierman and Karolyn A. Wanat. Their work appears in journals such as Journal of Pathology Informatics, npj Digital Medicine, BMC Medical Education, Journal of the American Medical Informatics Association and Frontiers in Big Data.
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.