Jose Posada
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Machine Learning in Healthcare 8
- Fuzzy Logic and Control Systems 2
-
- Fault Detection and Control Systems 6
- Advanced Control Systems Optimization 2
- Co-authors
- Miguel A. Labrador (1 shared paper)Alfredo J. Pérez (1 shared paper)Nigam H. Shah (14 shared papers)Jason Fries (10 shared papers)Scott L. Fleming (8 shared papers)Lillian Sung (8 shared papers)Catherine Aftandilian (7 shared papers)Stephen Pfohl (5 shared papers)
- Journals
- Journal of the American Medical Informatics Association (3 papers)Applied Clinical Informatics (2 papers)Scientific Reports (2 papers)Nature Communications (1 paper)Journal of Personalized Medicine (1 paper)
- Partner nations
- United StatesColombiaCanada
In The Last Decade
Jose Posada
29 papers receiving 566 citations
Peers
Comparison fields: 5 of 99
- Health Informatics 55
- Health Information Management 41
- Computer Vision and Pattern Recognition 173
- Artificial Intelligence 243
- Transportation 29
Countries citing papers authored by Jose Posada
This map shows the geographic impact of Jose Posada'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 Jose Posada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jose Posada more than expected).
Fields of papers citing papers by Jose Posada
This network shows the impact of papers produced by Jose Posada. 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 Jose Posada. The network helps show where Jose Posada may publish in the future.
Co-authors
The 25 scholars most cited alongside Jose Posada, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 173 | |
| 2 | 2005 | 64 | |
| 3 | 2021 | 51 | |
| 4 | 2022 | 49 | |
| 5 | 2021 | 46 | |
| 6 | 2023 | 31 | |
| 7 | 2024 | 20 | |
| 8 | 2023 | 20 | |
| 9 | 2021 | 19 | |
| 10 | 2020 | 15 | |
| 11 | 2021 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2023 | 10 | |
| 14 | 2024 | 10 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2017 | 4 | |
| 20 | 2021 | 4 |
About Jose Posada
Jose Posada is a scholar working on Artificial Intelligence, Control and Systems Engineering, Molecular Biology, Health Informatics and Health Information Management, having authored 31 papers that have together received 581 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (8 papers), Fault Detection and Control Systems (6 papers), Artificial Intelligence in Healthcare and Education (4 papers), Sepsis Diagnosis and Treatment (3 papers), Advanced Control Systems Optimization (2 papers), Fuzzy Logic and Control Systems (2 papers), Oil and Gas Production Techniques (2 papers) and Electronic Health Records Systems (2 papers). The work is most often cited by research in Health Informatics (55 citations), Health Information Management (41 citations), Computer Vision and Pattern Recognition (173 citations), Artificial Intelligence (243 citations) and Transportation (29 citations). Jose Posada has collaborated with scholars based in United States, Colombia and Canada. Frequent co-authors include Miguel A. Labrador, Alfredo J. Pérez, Nigam H. Shah, Jason Fries, Scott L. Fleming, Lillian Sung, Catherine Aftandilian, Stephen Pfohl, Ethan Steinberg and Lin Guo. Their work appears in journals such as Journal of the American Medical Informatics Association, Applied Clinical Informatics, Scientific Reports, Nature Communications and Journal of Personalized 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.