María Pérez‐Ortiz
- Health Informatics top 5%
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques 7
- Text and Document Classification Technologies 7
- Machine Learning and Data Classification 6
- Neural Networks and Applications 5
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- Online Learning and Analytics 7
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- Face and Expression Recognition 9
- Environmental Engineering top 10%
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- Smart Agriculture and AI 6
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- Remote Sensing in Agriculture 5
- Co-authors
- César Hervás‐MartínezPedro Antonio GutiérrezJosé M. PeñaJavier Sánchez‐MonederoFrancisco Fernández‐NavarroFrancisca López GranadosJorge Torres‐SánchezJohn Shawe‐Taylor
- Journals
- Nature Communications (1 paper)Scientific Reports (1 paper)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
María Pérez‐Ortiz
56 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Health Informatics 31
- Artificial Intelligence 450
- Computer Science Applications 72
- Computer Vision and Pattern Recognition 241
- Environmental Engineering 143
Countries citing papers authored by María Pérez‐Ortiz
This map shows the geographic impact of María Pérez‐Ortiz'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 Pérez‐Ortiz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Pérez‐Ortiz more than expected).
Fields of papers citing papers by María Pérez‐Ortiz
This network shows the impact of papers produced by María Pérez‐Ortiz. 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 Pérez‐Ortiz. The network helps show where María Pérez‐Ortiz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside María Pérez‐Ortiz, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | Artificial Intelligence Alone Will Not Democratise Education: On Educational Inequality, Techno-Solutionism and Inclusive Toolsbreakdown → | 2024 | 73 |
| 4 | 2024 | 1 | |
| 5 | 2023 | 54 | |
| 6 | 2022 | 10 | |
| 7 | Seasonal Arctic sea ice forecasting with probabilistic deep learningbreakdown → | 2021 | 158 |
| 8 | 2020 | 3 | |
| 9 | 2019 | 46 | |
| 10 | ORCA: A Matlab/Octave Toolbox for Ordinal Regression | 2019 | 11 |
| 11 | 2018 | 2 | |
| 12 | 2017 | 38 | |
| 13 | 2017 | 62 | |
| 14 | 2016 | 4 | |
| 15 | 2016 | 3 | |
| 16 | 2016 | 34 | |
| 17 | Ordinal Regression Methods: Survey and Experimental Studybreakdown → | 2015 | 281 |
| 18 | 2015 | 161 | |
| 19 | 2014 | 45 | |
| 20 | Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment. | 2013 | 1 |
About María Pérez‐Ortiz
María Pérez‐Ortiz is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Face and Expression Recognition (9 papers), Online Learning and Analytics (7 papers), Imbalanced Data Classification Techniques (7 papers), Text and Document Classification Technologies (7 papers), Smart Agriculture and AI (6 papers), Machine Learning and Data Classification (6 papers), Remote Sensing in Agriculture (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Health Informatics (31 citations), Artificial Intelligence (450 citations) and Computer Science Applications (72 citations). María Pérez‐Ortiz has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include César Hervás‐Martínez, Pedro Antonio Gutiérrez, José M. Peña, Javier Sánchez‐Monedero, Francisco Fernández‐Navarro, Francisca López Granados, Jorge Torres‐Sánchez, John Shawe‐Taylor, Rafał Mantiuk and Sancho Salcedo‐Sanz. Their work appears in journals such as Nature Communications, Scientific Reports and IEEE Transactions on Image Processing.
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.