María Helguera
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Media Technology top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Diane DaleckiDenise C. HockingAndrzej KrólStefi A. BaumPróspero Di PierroGiovanna Rossi‐MárquezCristian A. LinteStephen A. McAleavey
- Topics
- Medical Imaging Techniques and Applications (11 papers)Ultrasound Imaging and Elastography (8 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingMedia TechnologyComputer Vision and Pattern Recognition
- Journals
- RadiologyThe Journal of the Acoustical Society of AmericaAmerican Journal of Neuroradiology
- Partner nations
- United StatesMexicoCanada
In The Last Decade
María Helguera
33 papers receiving 301 citations
Peers
Comparison fields: 5 of 93
- Radiology, Nuclear Medicine and Imaging 125
- Biomedical Engineering 121
- Computer Vision and Pattern Recognition 57
- Media Technology 39
- Pulmonary and Respiratory Medicine 30
Countries citing papers authored by María Helguera
This map shows the geographic impact of María Helguera'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 María Helguera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Helguera more than expected).
Fields of papers citing papers by María Helguera
This network shows the impact of papers produced by María Helguera. 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 María Helguera. The network helps show where María Helguera may publish in the future.
Co-authorship network of co-authors of María Helguera
This figure shows the co-authorship network connecting the top 25 collaborators of María Helguera. A scholar is included among the top collaborators of María Helguera 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 María Helguera. María Helguera 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 | 2 | |
| 3 | 22 | |
| 4 | 20 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 32 | |
| 11 | 35 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 13 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 31 | |
| 19 | 6 | |
| 20 | 6 |
About María Helguera
María Helguera is a scholar working on Radiology, Nuclear Medicine and Imaging, Media Technology and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 316 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (11 papers), Ultrasound Imaging and Elastography (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (125 citations), Media Technology (39 citations) and Computer Vision and Pattern Recognition (57 citations). María Helguera has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Diane Dalecki, Denise C. Hocking, Andrzej Król, Stefi A. Baum, Próspero Di Pierro, Giovanna Rossi‐Márquez, Cristian A. Linte, Stephen A. McAleavey, Christoph J. Griessenauer and Ramin Zand. Their work appears in journals such as Radiology, The Journal of the Acoustical Society of America and American Journal of Neuroradiology.
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.