F. Lomeña
- Pulmonary and Respiratory Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Psychiatry and Mental health top 10%
- Surgery
- Cognitive Neuroscience top 10%
- Co-authors
- Javier Pavı́aJ.J. MateosM. SolèrMiquel BernardoJ.R. GarcíaDavid FusterRosa CatalánLaureano Molins
- Topics
- Medical Imaging Techniques and Applications (20 papers)Radiomics and Machine Learning in Medical Imaging (11 papers)Medical Imaging and Pathology Studies (10 papers)
- Cited by
- Psychiatry and Mental healthRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- The LancetNeuroImageNeurology
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
F. Lomeña
72 papers receiving 754 citations
Peers
Comparison fields: 5 of 85
- Pulmonary and Respiratory Medicine 288
- Radiology, Nuclear Medicine and Imaging 218
- Psychiatry and Mental health 154
- Surgery 112
- Cognitive Neuroscience 104
Countries citing papers authored by F. Lomeña
This map shows the geographic impact of F. Lomeña'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 F. Lomeña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Lomeña more than expected).
Fields of papers citing papers by F. Lomeña
This network shows the impact of papers produced by F. Lomeña. 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 F. Lomeña. The network helps show where F. Lomeña may publish in the future.
Co-authorship network of co-authors of F. Lomeña
This figure shows the co-authorship network connecting the top 25 collaborators of F. Lomeña. A scholar is included among the top collaborators of F. Lomeña 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 F. Lomeña. F. Lomeña is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 12 | |
| 3 | 14 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 8 | |
| 9 | 0 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 12 | |
| 16 | 9 | |
| 17 | 28 | |
| 18 | 19 | |
| 19 | 5 | |
| 20 | 19 |
About F. Lomeña
F. Lomeña is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Pulmonary and Respiratory Medicine, having authored 76 papers that have together received 784 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (20 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Medical Imaging and Pathology Studies (10 papers). The work is most often cited by research in Psychiatry and Mental health (154 citations), Radiology, Nuclear Medicine and Imaging (218 citations) and Pulmonary and Respiratory Medicine (288 citations). F. Lomeña has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Javier Pavı́a, J.J. Mateos, M. Solèr, Miquel Bernardo, J.R. García, David Fuster, Rosa Catalán, Laureano Molins, Miquel E. Cabañas and Marc Boada. Their work appears in journals such as The Lancet, NeuroImage and Neurology.
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.