Francisco Herrera
Impact in
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- Multi-Criteria Decision Making
- Artificial Intelligence top 0.01%
- Imbalanced Data Classification Techniques
- Metaheuristic Optimization Algorithms Research
- Fuzzy Logic and Control Systems
- Evolutionary Algorithms and Applications
- Machine Learning and Data Classification
Papers in
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- Fuzzy Logic and Control Systems 234
- Imbalanced Data Classification Techniques 186
- Machine Learning and Data Classification 167
- Evolutionary Algorithms and Applications 159
- Metaheuristic Optimization Algorithms Research 156
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- Multi-Criteria Decision Making 212
- Co-authors
- Salvador García (167 shared papers)Enrique Herrera-Viedma (101 shared papers)Luis M. Martínez (58 shared papers)Alberto Fernández (106 shared papers)Daniel Molina (48 shared papers)Julián Luengo (88 shared papers)Francisco Chiclana (45 shared papers)Manuel Lozano (56 shared papers)
- Journals
- Information Sciences (73 papers)Information Fusion (45 papers)IEEE Transactions on Fuzzy Systems (45 papers)Knowledge-Based Systems (43 papers)International Journal of Intelligent Systems (34 papers)
- Partner nations
- SpainSaudi ArabiaChina
In The Last Decade
Francisco Herrera
989 papers receiving 108.4k citations
Francisco Herrera's Hit Papers
Peers
Comparison fields: 5 of 241
- Management Science and Operations Research 31.3k
- Artificial Intelligence 61.5k
- Computational Theory and Mathematics 20.9k
- Health Informatics 1.4k
- Statistics and Probability 6.1k
Countries citing papers authored by Francisco Herrera
This map shows the geographic impact of Francisco Herrera'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 Francisco Herrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Herrera more than expected).
Fields of papers citing papers by Francisco Herrera
This network shows the impact of papers produced by Francisco Herrera. 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 Francisco Herrera. The network helps show where Francisco Herrera may publish in the future.
Co-authors
The 25 scholars most cited alongside Francisco Herrera, 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 1.0k papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI Hit paper breakdown → | 2019 | 6595 |
| 2 | A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms Hit paper breakdown → | 2011 | 4704 |
| 3 | Science mapping software tools: Review, analysis, and cooperative study among tools Hit paper breakdown → | 2011 | 2317 |
| 4 | A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches Hit paper breakdown → | 2011 | 2262 |
| 5 | A 2-tuple fuzzy linguistic representation model for computing with words Hit paper breakdown → | 2000 | 2216 |
| 6 | An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field Hit paper breakdown → | 2010 | 2041 |
| 7 | Hesitant Fuzzy Linguistic Term Sets for Decision Making Hit paper breakdown → | 2011 | 1990 |
| 8 | KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework Hit paper breakdown → | 2011 | 1990 |
| 9 | Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power Hit paper breakdown → | 2009 | 1903 |
| 10 | SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary Hit paper breakdown → | 2018 | 1577 |
| 11 | A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization Hit paper breakdown → | 2008 | 1526 |
| 12 | KEEL: a software tool to assess evolutionary algorithms for data mining problems Hit paper breakdown → | 2008 | 1318 |
| 13 | Linguistic decision analysis: steps for solving decision problems under linguistic information Hit paper breakdown → | 2000 | 1297 |
| 14 | An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics Hit paper breakdown → | 2013 | 1283 |
| 15 | An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons Hit paper breakdown → | 2008 | 1147 |
| 16 | Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence Hit paper breakdown → | 2023 | 1018 |
| 17 | Data Preprocessing in Data Mining Hit paper breakdown → | 2014 | 991 |
| 18 | A model of consensus in group decision making under linguistic assessments Hit paper breakdown → | 1996 | 989 |
| 19 | SciMAT : A new science mapping analysis software tool Hit paper breakdown → | 2012 | 979 |
| 20 | Learning from Imbalanced Data Sets Hit paper breakdown → | 2018 | 978 |
About Francisco Herrera
Francisco Herrera is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Information Systems and Statistics and Probability, having authored 1.0k papers that have together received 112.1k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (234 papers), Multi-Criteria Decision Making (212 papers), Imbalanced Data Classification Techniques (186 papers), Machine Learning and Data Classification (167 papers), Rough Sets and Fuzzy Logic (160 papers), Evolutionary Algorithms and Applications (159 papers), Metaheuristic Optimization Algorithms Research (156 papers) and Data Mining Algorithms and Applications (101 papers). The work is most often cited by research in Management Science and Operations Research (31.3k citations), Artificial Intelligence (61.5k citations), Computational Theory and Mathematics (20.9k citations), Health Informatics (1.4k citations) and Statistics and Probability (6.1k citations). Francisco Herrera has collaborated with scholars based in Spain, Saudi Arabia and China. Frequent co-authors include Salvador García, Enrique Herrera-Viedma, Luis M. Martínez, Alberto Fernández, Daniel Molina, Julián Luengo, Francisco Chiclana, Manuel Lozano, Joaquín Derrac and José Luís Verdegay. Their work appears in journals such as Information Sciences, Information Fusion, IEEE Transactions on Fuzzy Systems, Knowledge-Based Systems and International Journal of Intelligent Systems.
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.