Noelia Vállez
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
-
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases
Papers in
-
- AI in cancer detection 9
- Anomaly Detection Techniques and Applications 7
-
- Digital Imaging for Blood Diseases 3
- Co-authors
- Óscar Déniz (27 shared papers)Gloria Bueno (23 shared papers)Jesús Ruiz-Santaquiteria (7 shared papers)Gabriel Cristóbal (2 shared papers)Jesús Salido (7 shared papers)Aníbal Pedraza (4 shared papers)Carlos Pastor‐Vargas (4 shared papers)Juan A. Álvarez-García (1 shared paper)
- Journals
- Computer Methods and Programs in Biomedicine (4 papers)Sensors (2 papers)Neural Computing and Applications (2 papers)International Journal of Machine Learning and Cybernetics (1 paper)International Journal of Computer Assisted Radiology and Surgery (1 paper)
- Partner nations
- SpainSwitzerlandGermany
In The Last Decade
Noelia Vállez
29 papers receiving 373 citations
Peers
Comparison fields: 5 of 90
- Biophysics 49
- Computer Vision and Pattern Recognition 144
- Artificial Intelligence 189
- Instrumentation 11
- Media Technology 26
Countries citing papers authored by Noelia Vállez
This map shows the geographic impact of Noelia Vállez'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 Noelia Vállez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noelia Vállez more than expected).
Fields of papers citing papers by Noelia Vállez
This network shows the impact of papers produced by Noelia Vállez. 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 Noelia Vállez. The network helps show where Noelia Vállez may publish in the future.
Co-authors
The 25 scholars most cited alongside Noelia Vállez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 91 | |
| 2 | 2021 | 37 | |
| 3 | 2013 | 28 | |
| 4 | 2020 | 24 | |
| 5 | 2021 | 18 | |
| 6 | 2017 | 16 | |
| 7 | 2012 | 15 | |
| 8 | 2014 | 15 | |
| 9 | 2020 | 15 | |
| 10 | 2022 | 14 | |
| 11 | 2023 | 13 | |
| 12 | 2018 | 13 | |
| 13 | 2025 | 11 | |
| 14 | 2022 | 11 | |
| 15 | 2020 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2015 | 10 | |
| 18 | 2010 | 9 | |
| 19 | 2022 | 7 | |
| 20 | 2020 | 4 |
About Noelia Vállez
Noelia Vállez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biophysics and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 391 indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Anomaly Detection Techniques and Applications (7 papers), Cell Image Analysis Techniques (5 papers), Digital Radiography and Breast Imaging (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Image Processing Techniques and Applications (3 papers), Digital Imaging for Blood Diseases (3 papers) and Advanced Optical Sensing Technologies (3 papers). The work is most often cited by research in Biophysics (49 citations), Computer Vision and Pattern Recognition (144 citations), Artificial Intelligence (189 citations), Instrumentation (11 citations) and Media Technology (26 citations). Noelia Vállez has collaborated with scholars based in Spain, Switzerland and Germany. Frequent co-authors include Óscar Déniz, Gloria Bueno, Jesús Ruiz-Santaquiteria, Gabriel Cristóbal, Jesús Salido, Aníbal Pedraza, Carlos Pastor‐Vargas, Juan A. Álvarez-García, M. Milagro Fernández-Carrobles and José Luís Espinosa-Aranda. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Sensors, Neural Computing and Applications, International Journal of Machine Learning and Cybernetics and International Journal of Computer Assisted Radiology and Surgery.
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.