Peeter Ross
Impact in
- Medical Terminology top 5%
-
- Electronic Health Records Systems
Papers in
-
- Electronic Health Records Systems 14
- Artificial Intelligence in Healthcare 3
-
- Machine Learning in Healthcare 4
- Co-authors
- Ruth Sepper (7 shared papers)H. Pohjonen (4 shared papers)Dirk Draheim (6 shared papers)Isabella Scandurra (2 shared papers)Gayl Humphrey (1 shared paper)Siaw‐Teng Liaw (1 shared paper)Maarja Kruusmaa (4 shared papers)Monika Alise Johansen (1 shared paper)
- Journals
- Insights into Imaging (2 papers)Journal of Medical Internet Research (2 papers)European Journal of Radiology (2 papers)Health Policy and Technology (2 papers)Artificial Intelligence in Medicine (1 paper)
- Partner nations
- EstoniaSwedenUnited States
In The Last Decade
Peeter Ross
41 papers receiving 489 citations
Peers
Comparison fields: 5 of 100
- Medical Terminology 10
- Health Information Management 154
- Health Informatics 31
- Family Practice 13
- Organizational Behavior and Human Resource Management 52
Countries citing papers authored by Peeter Ross
This map shows the geographic impact of Peeter Ross'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 Peeter Ross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peeter Ross more than expected).
Fields of papers citing papers by Peeter Ross
This network shows the impact of papers produced by Peeter Ross. 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 Peeter Ross. The network helps show where Peeter Ross may publish in the future.
Co-authors
The 25 scholars most cited alongside Peeter Ross, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 113 | |
| 2 | 2011 | 58 | |
| 3 | 2013 | 29 | |
| 4 | 2009 | 26 | |
| 5 | 2023 | 24 | |
| 6 | 2010 | 23 | |
| 7 | 2014 | 22 | |
| 8 | 2013 | 22 | |
| 9 | 2012 | 20 | |
| 10 | 2023 | 17 | |
| 11 | 2007 | 15 | |
| 12 | 2022 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2010 | 11 | |
| 15 | 2011 | 9 | |
| 16 | 2014 | 9 | |
| 17 | 2011 | 8 | |
| 18 | 1997 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2023 | 6 |
About Peeter Ross
Peeter Ross is a scholar working on Health Information Management, Artificial Intelligence, General Health Professions, Radiology, Nuclear Medicine and Imaging and Economics and Econometrics, having authored 47 papers that have together received 503 indexed citations. Recurring topics across this work include Electronic Health Records Systems (14 papers), Data Quality and Management (4 papers), Biomedical Text Mining and Ontologies (4 papers), Machine Learning in Healthcare (4 papers), Health Literacy and Information Accessibility (3 papers), Mental Health via Writing (3 papers), Mobile Health and mHealth Applications (3 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Medical Terminology (10 citations), Health Information Management (154 citations), Health Informatics (31 citations), Family Practice (13 citations) and Organizational Behavior and Human Resource Management (52 citations). Peeter Ross has collaborated with scholars based in Estonia, Sweden and United States. Frequent co-authors include Ruth Sepper, H. Pohjonen, Dirk Draheim, Isabella Scandurra, Gayl Humphrey, Siaw‐Teng Liaw, Maarja Kruusmaa, Monika Alise Johansen, Anna Essén and Patrick Kierkegaard. Their work appears in journals such as Insights into Imaging, Journal of Medical Internet Research, European Journal of Radiology, Health Policy and Technology and Artificial Intelligence in Medicine.
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.