Juan M. Durán
- Cardiology and Cardiovascular Medicine top 5%
- Surgery
- Health Informatics top 0.5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Karin JongsmaJosé Maria AugéJavier GoicoleaMartin SandFrancisco Fernández‐AvilésJoaquín AlonsoFederico GimenoLuis de la Fuente
- Topics
- Artificial Intelligence in Healthcare and Education (8 papers)Coronary Interventions and Diagnostics (7 papers)Philosophy and History of Science (7 papers)
- Journals
- Journal of the American College of CardiologyAmerican Journal of Physiology-Heart and Circulatory PhysiologyAmerican Heart Journal
- Partner nations
- SpainNetherlandsGermany
In The Last Decade
Juan M. Durán
32 papers receiving 907 citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Cardiology and Cardiovascular Medicine 322
- Surgery 247
- Health Informatics 231
- Artificial Intelligence 180
- Radiology, Nuclear Medicine and Imaging 174
Countries citing papers authored by Juan M. Durán
This map shows the geographic impact of Juan M. Durán'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 Juan M. Durán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan M. Durán more than expected).
Fields of papers citing papers by Juan M. Durán
This network shows the impact of papers produced by Juan M. Durán. 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 Juan M. Durán. The network helps show where Juan M. Durán may publish in the future.
Co-authorship network of co-authors of Juan M. Durán
This figure shows the co-authorship network connecting the top 25 collaborators of Juan M. Durán. A scholar is included among the top collaborators of Juan M. Durán based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Juan M. Durán. Juan M. Durán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 29 | |
| 7 | Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AIbreakdown → | 261 |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 31 | |
| 11 | 25 | |
| 12 | 94 | |
| 13 | 4 | |
| 14 | 13 | |
| 15 | 39 | |
| 16 | 47 | |
| 17 | 18 | |
| 18 | 18 | |
| 19 | 8 | |
| 20 | 48 |
About Juan M. Durán
Juan M. Durán is a scholar working on Health Informatics, History and Philosophy of Science and Information Systems and Management, having authored 38 papers that have together received 942 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (8 papers), Coronary Interventions and Diagnostics (7 papers) and Philosophy and History of Science (7 papers). The work is most often cited by research in Health Informatics (231 citations), Safety Research (119 citations) and Cardiology and Cardiovascular Medicine (322 citations). Juan M. Durán has collaborated with scholars based in Spain, Netherlands and Germany. Frequent co-authors include Karin Jongsma, José Maria Augé, Javier Goicolea, Martin Sand, Francisco Fernández‐Avilés, Joaquín Alonso, Federico Gimeno, Luis de la Fuente, J. Alberto San Román and Juan Carlos Muñoz. Their work appears in journals such as Journal of the American College of Cardiology, American Journal of Physiology-Heart and Circulatory Physiology and American Heart Journal.
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.