Mónica Hernández
- Computer Vision and Pattern Recognition top 5%
- Pulmonary and Respiratory Medicine
- Oncology
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Co-authors
- Alejandro F. FrangiSalvador Carrión OlmosMatías Nicolás BossaAnthony M. MarinakiJeremy SandersonCathryn M. LewisN. MaiseyA Loganayagam
- Topics
- Medical Image Segmentation Techniques (18 papers)Robotics and Sensor-Based Localization (8 papers)Morphological variations and asymmetry (5 papers)
- Journals
- PLoS ONEGutBritish Journal of Cancer
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Mónica Hernández
45 papers receiving 644 citations
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 205
- Pulmonary and Respiratory Medicine 150
- Oncology 144
- Radiology, Nuclear Medicine and Imaging 119
- Molecular Biology 111
Countries citing papers authored by Mónica Hernández
This map shows the geographic impact of Mónica Hernández'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 Mónica Hernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mónica Hernández more than expected).
Fields of papers citing papers by Mónica Hernández
This network shows the impact of papers produced by Mónica Hernández. 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 Mónica Hernández. The network helps show where Mónica Hernández may publish in the future.
Co-authorship network of co-authors of Mónica Hernández
This figure shows the co-authorship network connecting the top 25 collaborators of Mónica Hernández. A scholar is included among the top collaborators of Mónica Hernández 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 Mónica Hernández. Mónica Hernández 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 26 | |
| 7 | 1 | |
| 8 | Relationship between cytokine aqueous humour levels and Optical Coherence Tomography features in Diabetic Macular Edema | 1 |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 18 | |
| 12 | 12 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 33 | |
| 17 | 79 | |
| 18 | 33 | |
| 19 | 58 | |
| 20 | 2 |
About Mónica Hernández
Mónica Hernández is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology and Radiation, having authored 50 papers that have together received 687 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (18 papers), Robotics and Sensor-Based Localization (8 papers) and Morphological variations and asymmetry (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (205 citations), Oncology (144 citations) and Radiology, Nuclear Medicine and Imaging (119 citations). Mónica Hernández has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Alejandro F. Frangi, Salvador Carrión Olmos, Matías Nicolás Bossa, Anthony M. Marinaki, Jeremy Sanderson, Cathryn M. Lewis, N. Maisey, A Loganayagam, Lynette D. Fairbanks and Peter Harper. Their work appears in journals such as PLoS ONE, Gut and British Journal of Cancer.
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.