José‐Luis Sancho‐Gómez
- Artificial Intelligence top 2%
- Machine Learning and ELM 11
- Neural Networks and Applications 10
-
- Face and Expression Recognition 11
- Medical Image Segmentation Techniques 6
- Image and Signal Denoising Methods 4
- Statistics and Probability top 5%
-
- Retinal Imaging and Analysis 7
-
- Cardiovascular Health and Disease Prevention 8
-
- Cerebrovascular and Carotid Artery Diseases 5
- Co-authors
- Anı́bal R. Figueiras-VidalPedro J. García-LaencinaRosa-María Menchón-LaraMichel VerleysenJuan Morales‐SánchezRafael Verdú‐MonederoAndrés Bueno-CrespoInmaculada Sellés-Navarro
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionHealth Information Management
- Journals
- Neurocomputing (5 papers)Neural Computing and Applications (4 papers)Information Fusion (2 papers)
- Partner nations
- SpainAlgeriaUnited States
In The Last Decade
José‐Luis Sancho‐Gómez
45 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 546
- Computer Vision and Pattern Recognition 295
- Health Information Management 64
- Statistics and Probability 106
- Radiology, Nuclear Medicine and Imaging 195
Countries citing papers authored by José‐Luis Sancho‐Gómez
This map shows the geographic impact of José‐Luis Sancho‐Gómez'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 José‐Luis Sancho‐Gómez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José‐Luis Sancho‐Gómez more than expected).
Fields of papers citing papers by José‐Luis Sancho‐Gómez
This network shows the impact of papers produced by José‐Luis Sancho‐Gómez. 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 José‐Luis Sancho‐Gómez. The network helps show where José‐Luis Sancho‐Gómez may publish in the future.
Co-authorship network
The 19 scholars most cited alongside José‐Luis Sancho‐Gómez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2022 | 59 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 1 | |
| 5 | 2020 | 28 | |
| 6 | 2019 | 10 | |
| 7 | 2017 | 1 | |
| 8 | 2016 | 38 | |
| 9 | 2014 | 19 | |
| 10 | 2013 | 49 | |
| 11 | 2013 | 5 | |
| 12 | 2013 | 26 | |
| 13 | 2012 | 4 | |
| 14 | 2012 | 16 | |
| 15 | 2011 | 5 | |
| 16 | 2009 | 7 | |
| 17 | Pattern classification with missing data: a reviewbreakdown → | 2009 | 512 |
| 18 | 2009 | 186 | |
| 19 | K-Nearest Neighbours based on Mutual Information for Incomplete Data Classification | 2008 | 7 |
| 20 | A robust approach for classifying unknown data in medical diagnosis problems | 2008 | 4 |
About José‐Luis Sancho‐Gómez
José‐Luis Sancho‐Gómez is a scholar working on Computer Vision and Pattern Recognition, Developmental Biology, Artificial Intelligence, Media Technology and Ophthalmology, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Learning and ELM (11 papers), Face and Expression Recognition (11 papers), Neural Networks and Applications (10 papers), Cardiovascular Health and Disease Prevention (8 papers), Retinal Imaging and Analysis (7 papers), Medical Image Segmentation Techniques (6 papers), Cerebrovascular and Carotid Artery Diseases (5 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Artificial Intelligence (546 citations), Computer Vision and Pattern Recognition (295 citations), Health Information Management (64 citations), Statistics and Probability (106 citations) and Radiology, Nuclear Medicine and Imaging (195 citations). José‐Luis Sancho‐Gómez has collaborated with scholars based in Spain, Algeria and United States. Frequent co-authors include Anı́bal R. Figueiras-Vidal, Pedro J. García-Laencina, Rosa-María Menchón-Lara, Michel Verleysen, Juan Morales‐Sánchez, Rafael Verdú‐Monedero, Andrés Bueno-Crespo, Inmaculada Sellés-Navarro, Francisco Herrera and Siham Tabik. Their work appears in journals such as Neurocomputing, Neural Computing and Applications, Information Fusion, Journal of Digital Imaging and Applied Acoustics.
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.