Miguel A. Lago
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Co-authors
- Miguel P. EcksteinMaría José RupérezC. MonserratCraig K. AbbeyFrancisco Martínez‐MartínezCristina Peris‐MartínezJosé D. Martín‐GuerreroPredrag R. Bakić
- Topics
- Digital Radiography and Breast Imaging (18 papers)AI in cancer detection (11 papers)Medical Imaging Techniques and Applications (10 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsComputer Vision and Pattern Recognition
- Partner nations
- United StatesSpainBelgium
In The Last Decade
Miguel A. Lago
32 papers receiving 266 citations
Peers
Comparison fields: 5 of 65
- Radiology, Nuclear Medicine and Imaging 160
- Biomedical Engineering 84
- Pulmonary and Respiratory Medicine 67
- Computer Vision and Pattern Recognition 56
- Artificial Intelligence 43
Countries citing papers authored by Miguel A. Lago
This map shows the geographic impact of Miguel A. Lago'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 Miguel A. Lago with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel A. Lago more than expected).
Fields of papers citing papers by Miguel A. Lago
This network shows the impact of papers produced by Miguel A. Lago. 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 Miguel A. Lago. The network helps show where Miguel A. Lago may publish in the future.
Co-authorship network of co-authors of Miguel A. Lago
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel A. Lago. A scholar is included among the top collaborators of Miguel A. Lago 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 Miguel A. Lago. Miguel A. Lago is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 11 | |
| 15 | 9 | |
| 16 | 6 | |
| 17 | 25 | |
| 18 | 27 | |
| 19 | 9 | |
| 20 | NaRALap: augmented reality system for navigation in laparoscopic surgery | 0 |
About Miguel A. Lago
Miguel A. Lago is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 271 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (18 papers), AI in cancer detection (11 papers) and Medical Imaging Techniques and Applications (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (160 citations), Health Informatics (9 citations) and Computer Vision and Pattern Recognition (56 citations). Miguel A. Lago has collaborated with scholars based in United States, Spain and Belgium. Frequent co-authors include Miguel P. Eckstein, María José Rupérez, C. Monserrat, Craig K. Abbey, Francisco Martínez‐Martínez, Cristina Peris‐Martínez, José D. Martín‐Guerrero, Predrag R. Bakić, Bruno Barufaldi and Andrew D. A. Maidment. Their work appears in journals such as Current Biology, Optics Express 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.