Alberto Comesaña-Campos
- Artificial Intelligence
- Physiology
- Pulmonary and Respiratory Medicine
- Health Information Management top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- Alberto Fernández‐VillarMaría Torres‐DuránInês DutraMar MosteiroVitor E.M. CardosoAlejandro PereiraRafael GolpeCristina Represas‐Represas
- Topics
- Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers)Obstructive Sleep Apnea Research (5 papers)Artificial Intelligence in Healthcare (5 papers)
In The Last Decade
Alberto Comesaña-Campos
28 papers receiving 234 citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 66
- Physiology 55
- Pulmonary and Respiratory Medicine 52
- Health Information Management 30
- Computer Vision and Pattern Recognition 21
Countries citing papers authored by Alberto Comesaña-Campos
This map shows the geographic impact of Alberto Comesaña-Campos'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 Alberto Comesaña-Campos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Comesaña-Campos more than expected).
Fields of papers citing papers by Alberto Comesaña-Campos
This network shows the impact of papers produced by Alberto Comesaña-Campos. 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 Alberto Comesaña-Campos. The network helps show where Alberto Comesaña-Campos may publish in the future.
Co-authorship network of co-authors of Alberto Comesaña-Campos
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Comesaña-Campos. A scholar is included among the top collaborators of Alberto Comesaña-Campos 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 Alberto Comesaña-Campos. Alberto Comesaña-Campos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 12 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 12 | |
| 13 | 27 | |
| 14 | 14 | |
| 15 | 4 | |
| 16 | 20 | |
| 17 | 13 | |
| 18 | 15 | |
| 19 | 3 | |
| 20 | 3 |
About Alberto Comesaña-Campos
Alberto Comesaña-Campos is a scholar working on Health Information Management, Archeology and Issues, ethics and legal aspects, having authored 32 papers that have together received 238 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), Obstructive Sleep Apnea Research (5 papers) and Artificial Intelligence in Healthcare (5 papers). The work is most often cited by research in Health Information Management (30 citations), Health Informatics (8 citations) and Issues, ethics and legal aspects (4 citations). Alberto Comesaña-Campos has collaborated with scholars based in Spain, Portugal and Colombia. Frequent co-authors include Alberto Fernández‐Villar, María Torres‐Durán, Inês Dutra, Mar Mosteiro, Vitor E.M. Cardoso, Alejandro Pereira, Rafael Golpe, Cristina Represas‐Represas, Agustín Menéndez-Díaz and José Ignacio Rojas‐Sola. Their work appears in journals such as Expert Systems with Applications, Sensors and International Journal of Environmental Research and Public Health.
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.