Francisco Torrealdea
- Statistical and Nonlinear Physics top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cognitive Neuroscience top 5%
- Materials Chemistry
- Computer Networks and Communications top 5%
- Co-authors
- Alicia d’AnjouAbdelmalik MoujahidC. SarasolaManuel GrañaXavier GolayMarilena RegaMark F. LythgoeHarold G. Parkes
- Topics
- Nonlinear Dynamics and Pattern Formation (12 papers)Chaos control and synchronization (9 papers)Neural dynamics and brain function (8 papers)
- Journals
- Nature MedicineIEEE Transactions on Pattern Analysis and Machine IntelligenceEuropean Journal of Operational Research
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Francisco Torrealdea
34 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Statistical and Nonlinear Physics 395
- Radiology, Nuclear Medicine and Imaging 342
- Cognitive Neuroscience 298
- Materials Chemistry 284
- Computer Networks and Communications 253
Countries citing papers authored by Francisco Torrealdea
This map shows the geographic impact of Francisco Torrealdea'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 Francisco Torrealdea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Torrealdea more than expected).
Fields of papers citing papers by Francisco Torrealdea
This network shows the impact of papers produced by Francisco Torrealdea. 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 Francisco Torrealdea. The network helps show where Francisco Torrealdea may publish in the future.
Co-authorship network of co-authors of Francisco Torrealdea
This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Torrealdea. A scholar is included among the top collaborators of Francisco Torrealdea 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 Francisco Torrealdea. Francisco Torrealdea 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 | 23 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 33 | |
| 6 | In vivo imaging of glucose uptake and metabolism in tumorsbreakdown → | 394 |
| 7 | 93 | |
| 8 | 36 | |
| 9 | 1 | |
| 10 | 43 | |
| 11 | 15 | |
| 12 | 33 | |
| 13 | 63 | |
| 14 | 8 | |
| 15 | 107 | |
| 16 | 13 | |
| 17 | 33 | |
| 18 | 2 | |
| 19 | 30 | |
| 20 | 3 |
About Francisco Torrealdea
Francisco Torrealdea is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (12 papers), Chaos control and synchronization (9 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (395 citations), Biophysics (118 citations) and Cognitive Neuroscience (298 citations). Francisco Torrealdea has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Alicia d’Anjou, Abdelmalik Moujahid, C. Sarasola, Manuel Graña, Xavier Golay, Marilena Rega, Mark F. Lythgoe, Harold G. Parkes, Vineeth Rajkumar and Rajiv Ramasawmy. Their work appears in journals such as Nature Medicine, IEEE Transactions on Pattern Analysis and Machine Intelligence and European Journal of Operational Research.
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.