María-José Jiménez
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition
- Radiology, Nuclear Medicine and Imaging
- Materials Chemistry
- Mathematical Physics
- Co-authors
- Rocı́o González-Dı́azM. D. CalzadaCristina YuberoHamid KrimThanos GentimisPedro RealVidit NandaMatteo Rucco
- Topics
- Digital Image Processing Techniques (10 papers)Topological and Geometric Data Analysis (10 papers)Homotopy and Cohomology in Algebraic Topology (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionInformation Sciences
- Partner nations
- SpainAustriaUnited Kingdom
In The Last Decade
María-José Jiménez
17 papers receiving 190 citations
Peers
Comparison fields: 5 of 59
- Computational Theory and Mathematics 108
- Computer Vision and Pattern Recognition 58
- Radiology, Nuclear Medicine and Imaging 55
- Materials Chemistry 29
- Mathematical Physics 26
Countries citing papers authored by María-José Jiménez
This map shows the geographic impact of María-José Jiménez'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-José Jiménez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María-José Jiménez more than expected).
Fields of papers citing papers by María-José Jiménez
This network shows the impact of papers produced by María-José Jiménez. 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-José Jiménez. The network helps show where María-José Jiménez may publish in the future.
Co-authorship network of co-authors of María-José Jiménez
This figure shows the co-authorship network connecting the top 25 collaborators of María-José Jiménez. A scholar is included among the top collaborators of María-José Jiménez 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-José Jiménez. María-José Jiménez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 15 | |
| 7 | 46 | |
| 8 | 15 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | Proceedings of the 17th IAPR international conference on Discrete Geometry for Computer Imagery | 1 |
| 12 | 8 | |
| 13 | LOS VIDEOTUTORIALES COMO RECURSO DIDÁCTICO EN DOCENCIA VIRTUAL | 1 |
| 14 | Cohomology Ring of 3D Cubical Complexes. | 4 |
| 15 | 14 | |
| 16 | 38 | |
| 17 | 5 | |
| 18 | 2 |
About María-José Jiménez
María-José Jiménez is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 194 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (10 papers), Topological and Geometric Data Analysis (10 papers) and Homotopy and Cohomology in Algebraic Topology (6 papers). The work is most often cited by research in Computational Theory and Mathematics (108 citations), Biophysics (22 citations) and Mathematical Physics (26 citations). María-José Jiménez has collaborated with scholars based in Spain, Austria and United Kingdom. Frequent co-authors include Rocı́o González-Dı́az, M. D. Calzada, Cristina Yubero, Hamid Krim, Thanos Gentimis, Pedro Real, Vidit Nanda, Matteo Rucco, Cristina Cristalli and Andrea Ferrante. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Information Sciences.
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.