Mariano Amo‐Salas
- Radiology, Nuclear Medicine and Imaging top 10%
- Health, Toxicology and Mutagenesis top 5%
- Pulmonary and Respiratory Medicine
- Environmental Engineering top 10%
- Surgery
- Co-authors
- Florentina VillanuevaAraceli TapiaJesús López–FidalgoBeatriz CabañasAna María García VicenteJesús Martín‐FernándezAlberto NotarioÁ. Soriano Castrejón
- Topics
- Medical Imaging Techniques and Applications (17 papers)Radiomics and Machine Learning in Medical Imaging (12 papers)Optimal Experimental Design Methods (12 papers)
- Cited by
- Health, Toxicology and MutagenesisRadiology, Nuclear Medicine and ImagingEnvironmental Engineering
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentTechnometrics
In The Last Decade
Mariano Amo‐Salas
68 papers receiving 635 citations
Peers
Comparison fields: 5 of 110
- Radiology, Nuclear Medicine and Imaging 160
- Health, Toxicology and Mutagenesis 155
- Pulmonary and Respiratory Medicine 84
- Environmental Engineering 83
- Surgery 79
Countries citing papers authored by Mariano Amo‐Salas
This map shows the geographic impact of Mariano Amo‐Salas'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 Mariano Amo‐Salas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariano Amo‐Salas more than expected).
Fields of papers citing papers by Mariano Amo‐Salas
This network shows the impact of papers produced by Mariano Amo‐Salas. 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 Mariano Amo‐Salas. The network helps show where Mariano Amo‐Salas may publish in the future.
Co-authorship network of co-authors of Mariano Amo‐Salas
This figure shows the co-authorship network connecting the top 25 collaborators of Mariano Amo‐Salas. A scholar is included among the top collaborators of Mariano Amo‐Salas 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 Mariano Amo‐Salas. Mariano Amo‐Salas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 10 | |
| 13 | 39 | |
| 14 | 17 | |
| 15 | 6 | |
| 16 | 84 | |
| 17 | 4 | |
| 18 | 7 | |
| 19 | 9 | |
| 20 | 13 |
About Mariano Amo‐Salas
Mariano Amo‐Salas is a scholar working on Management Science and Operations Research, Radiology, Nuclear Medicine and Imaging and Statistics and Probability, having authored 72 papers that have together received 639 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (17 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Optimal Experimental Design Methods (12 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (155 citations), Radiology, Nuclear Medicine and Imaging (160 citations) and Environmental Engineering (83 citations). Mariano Amo‐Salas has collaborated with scholars based in Spain, Slovakia and Chile. Frequent co-authors include Florentina Villanueva, Araceli Tapia, Jesús López–Fidalgo, Beatriz Cabañas, Ana María García Vicente, Jesús Martín‐Fernández, Alberto Notario, Á. Soriano Castrejón, Julián Pérez-Beteta and Ernesto Martı́nez. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Technometrics.
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.