Luis Martí
Impact in
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- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Anomaly Detection Techniques and Applications
Papers in
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- Metaheuristic Optimization Algorithms Research 19
- Evolutionary Algorithms and Applications 16
- Anomaly Detection Techniques and Applications 5
- Neural Networks and Applications 4
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- Advanced Multi-Objective Optimization Algorithms 23
- Co-authors
- José M. Molina (18 shared papers)Nayat Sánchez-Pi (20 shared papers)Jesús Garcı́a (13 shared papers)Antonio Berlanga (13 shared papers)Ana Cristina Bicharra García (11 shared papers)Carlos A. Coello Coello (1 shared paper)Adriana S. Vivacqua (1 shared paper)Marley Vellasco (3 shared papers)
In The Last Decade
Luis Martí
46 papers receiving 503 citations
Peers
Comparison fields: 5 of 83
- Computational Theory and Mathematics 169
- Artificial Intelligence 291
- Statistics, Probability and Uncertainty 44
- Signal Processing 40
- Management Science and Operations Research 42
Countries citing papers authored by Luis Martí
This map shows the geographic impact of Luis Martí'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 Luis Martí with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis Martí more than expected).
Fields of papers citing papers by Luis Martí
This network shows the impact of papers produced by Luis Martí. 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 Luis Martí. The network helps show where Luis Martí may publish in the future.
Co-authors
The 25 scholars most cited alongside Luis Martí, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 101 | |
| 2 | 2009 | 43 | |
| 3 | 2016 | 34 | |
| 4 | 2015 | 30 | |
| 5 | 2021 | 29 | |
| 6 | 2007 | 27 | |
| 7 | 2011 | 24 | |
| 8 | 2022 | 22 | |
| 9 | 2008 | 19 | |
| 10 | 2017 | 18 | |
| 11 | 2009 | 15 | |
| 12 | 2009 | 14 | |
| 13 | 2007 | 13 | |
| 14 | 2010 | 12 | |
| 15 | 2016 | 10 | |
| 16 | 2001 | 9 | |
| 17 | 2016 | 9 | |
| 18 | 2017 | 8 | |
| 19 | 2016 | 7 | |
| 20 | 2015 | 6 |
About Luis Martí
Luis Martí is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 49 papers that have together received 532 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (23 papers), Metaheuristic Optimization Algorithms Research (19 papers), Evolutionary Algorithms and Applications (16 papers), Anomaly Detection Techniques and Applications (5 papers), Neural Networks and Applications (4 papers), Advanced Control Systems Optimization (3 papers), Risk and Safety Analysis (3 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Computational Theory and Mathematics (169 citations), Artificial Intelligence (291 citations), Statistics, Probability and Uncertainty (44 citations), Signal Processing (40 citations) and Management Science and Operations Research (42 citations). Luis Martí has collaborated with scholars based in Brazil, Spain and Chile. Frequent co-authors include José M. Molina, Nayat Sánchez-Pi, Jesús Garcı́a, Antonio Berlanga, Ana Cristina Bicharra García, Carlos A. Coello Coello, Adriana S. Vivacqua, Marley Vellasco, Emma Hart and Roberto Santana. Their work appears in journals such as Information Sciences, Journal of Applied Logic, Sensors, IEEE Software and Journal of Global Optimization.
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.