Pedro Antonio Gutiérrez
- Artificial Intelligence top 0.5%
- Neural Networks and Applications 29
- Imbalanced Data Classification Techniques 20
- Machine Learning and Data Classification 15
- Metaheuristic Optimization Algorithms Research 15
- Machine Learning and ELM 12
- Environmental Engineering top 2%
- Hydrological Forecasting Using AI 13
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- Face and Expression Recognition 18
- Media Technology top 2%
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- Energy Load and Power Forecasting 18
- Co-authors
- César Hervás‐MartínezMaría Pérez‐OrtizFrancisco Fernández‐NavarroJavier Sánchez‐MonederoFrancisca López GranadosJosé M. PeñaSancho Salcedo‐SanzJuan Carlos Fernández Fernández
- Journals
- Neurocomputing (11 papers)Expert Systems with Applications (8 papers)Applied Soft Computing (8 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Pedro Antonio Gutiérrez
152 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Artificial Intelligence 1.4k
- Environmental Engineering 448
- Health Information Management 99
- Computer Vision and Pattern Recognition 401
- Media Technology 159
Countries citing papers authored by Pedro Antonio Gutiérrez
This map shows the geographic impact of Pedro Antonio Gutiérrez'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 Pedro Antonio Gutiérrez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Antonio Gutiérrez more than expected).
Fields of papers citing papers by Pedro Antonio Gutiérrez
This network shows the impact of papers produced by Pedro Antonio Gutiérrez. 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 Pedro Antonio Gutiérrez. The network helps show where Pedro Antonio Gutiérrez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pedro Antonio Gutiérrez, 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 | 2025 | 3 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 20 | |
| 8 | 2022 | 16 | |
| 9 | 2021 | 0 | |
| 10 | 2021 | 14 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 24 | |
| 13 | 2020 | 18 | |
| 14 | 2020 | 34 | |
| 15 | 2018 | 4 | |
| 16 | 2017 | 38 | |
| 17 | 2017 | 24 | |
| 18 | 2016 | 21 | |
| 19 | 2015 | 58 | |
| 20 | Ordinal Regression Methods: Survey and Experimental Studybreakdown → | 2015 | 281 |
About Pedro Antonio Gutiérrez
Pedro Antonio Gutiérrez is a scholar working on Artificial Intelligence, Environmental Engineering and Computer Vision and Pattern Recognition, having authored 164 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (29 papers), Imbalanced Data Classification Techniques (20 papers), Face and Expression Recognition (18 papers), Energy Load and Power Forecasting (18 papers), Machine Learning and Data Classification (15 papers), Metaheuristic Optimization Algorithms Research (15 papers), Hydrological Forecasting Using AI (13 papers) and Machine Learning and ELM (12 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Environmental Engineering (448 citations) and Health Information Management (99 citations). Pedro Antonio Gutiérrez has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include César Hervás‐Martínez, María Pérez‐Ortiz, Francisco Fernández‐Navarro, Javier Sánchez‐Monedero, Francisca López Granados, José M. Peña, Sancho Salcedo‐Sanz, Juan Carlos Fernández Fernández, Jorge Torres‐Sánchez and David Guijo-Rubio. Their work appears in journals such as Neurocomputing, Expert Systems with Applications, Applied Soft Computing, Neural Processing Letters and Engineering Applications of Artificial Intelligence.
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.