Manuel Sánchez-Montañés
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Cognitive Neuroscience
- Biomedical Engineering
- Cellular and Molecular Neuroscience
- Co-authors
- Tim PearceR.A. CarrascoPeter KönigPaul F. M. J. VerschureDavid CamachoLuis F. Lago-FernándezRon DaganSara Domínguez‐Rodríguez
- Topics
- Neural dynamics and brain function (6 papers)Neural Networks and Applications (6 papers)COVID-19 diagnosis using AI (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageExpert Systems with Applications
- Partner nations
- SpainUnited KingdomSwitzerland
In The Last Decade
Manuel Sánchez-Montañés
32 papers receiving 315 citations
Peers
Comparison fields: 5 of 110
- Artificial Intelligence 85
- Radiology, Nuclear Medicine and Imaging 80
- Cognitive Neuroscience 46
- Biomedical Engineering 28
- Cellular and Molecular Neuroscience 27
Countries citing papers authored by Manuel Sánchez-Montañés
This map shows the geographic impact of Manuel Sánchez-Montañés'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 Manuel Sánchez-Montañés with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Sánchez-Montañés more than expected).
Fields of papers citing papers by Manuel Sánchez-Montañés
This network shows the impact of papers produced by Manuel Sánchez-Montañés. 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 Manuel Sánchez-Montañés. The network helps show where Manuel Sánchez-Montañés may publish in the future.
Co-authorship network of co-authors of Manuel Sánchez-Montañés
This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Sánchez-Montañés. A scholar is included among the top collaborators of Manuel Sánchez-Montañés 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 Manuel Sánchez-Montañés. Manuel Sánchez-Montañés is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 16 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 20 | |
| 12 | 22 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 12 | |
| 17 | 12 | |
| 18 | 14 | |
| 19 | 10 | |
| 20 | 2 |
About Manuel Sánchez-Montañés
Manuel Sánchez-Montañés is a scholar working on Sensory Systems, Health Informatics and Artificial Intelligence, having authored 33 papers that have together received 322 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Neural Networks and Applications (6 papers) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Health Informatics (13 citations), Sensory Systems (21 citations) and Radiology, Nuclear Medicine and Imaging (80 citations). Manuel Sánchez-Montañés has collaborated with scholars based in Spain, United Kingdom and Switzerland. Frequent co-authors include Tim Pearce, R.A. Carrasco, Peter König, Paul F. M. J. Verschure, David Camacho, Luis F. Lago-Fernández, Ron Dagan, Sara Domínguez‐Rodríguez, Alfredo Tagarro and Antonio J. Serrano-López. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Expert Systems with Applications.
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.