Luis E. Zárate
Impact in
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- Online Learning and Analytics
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
Papers in
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- Semantic Web and Ontologies 7
- Neural Networks and Applications 7
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- Rough Sets and Fuzzy Logic 28
- Co-authors
- Cristiane Neri Nobre (35 shared papers)Seiji Isotani (2 shared papers)Sérgio M. Dias (19 shared papers)Luciana Oliveira e Silva (1 shared paper)C. Quirós (8 shared papers)J. M. Alameda (8 shared papers)M. Vélez (6 shared papers)J. I. Martı́n (5 shared papers)
In The Last Decade
Luis E. Zárate
107 papers receiving 896 citations
Peers
Comparison fields: 5 of 120
- Computer Science Applications 114
- Management Science and Operations Research 217
- Artificial Intelligence 329
- Computational Theory and Mathematics 117
- Information Systems 156
Countries citing papers authored by Luis E. Zárate
This map shows the geographic impact of Luis E. Zárate'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 E. Zárate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis E. Zárate more than expected).
Fields of papers citing papers by Luis E. Zárate
This network shows the impact of papers produced by Luis E. Zárate. 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 E. Zárate. The network helps show where Luis E. Zárate may publish in the future.
Co-authors
The 25 scholars most cited alongside Luis E. Zárate, 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 150 | |
| 2 | 2018 | 118 | |
| 3 | 2014 | 64 | |
| 4 | 2011 | 57 | |
| 5 | 2014 | 43 | |
| 6 | 2007 | 26 | |
| 7 | 2005 | 23 | |
| 8 | 2008 | 21 | |
| 9 | 2009 | 20 | |
| 10 | 2003 | 19 | |
| 11 | 2022 | 18 | |
| 12 | 2007 | 18 | |
| 13 | 2003 | 12 | |
| 14 | 2017 | 12 | |
| 15 | 2012 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2012 | 11 | |
| 18 | 2018 | 10 | |
| 19 | 2011 | 10 | |
| 20 | 2006 | 10 |
About Luis E. Zárate
Luis E. Zárate is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Molecular Biology and Signal Processing, having authored 128 papers that have together received 948 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (28 papers), Data Mining Algorithms and Applications (20 papers), Machine Learning in Bioinformatics (11 papers), Metallurgy and Material Forming (11 papers), Data Management and Algorithms (9 papers), Semantic Web and Ontologies (7 papers), Online Learning and Analytics (7 papers) and Neural Networks and Applications (7 papers). The work is most often cited by research in Computer Science Applications (114 citations), Management Science and Operations Research (217 citations), Artificial Intelligence (329 citations), Computational Theory and Mathematics (117 citations) and Information Systems (156 citations). Luis E. Zárate has collaborated with scholars based in Brazil, Spain and France. Frequent co-authors include Cristiane Neri Nobre, Seiji Isotani, Sérgio M. Dias, Luciana Oliveira e Silva, C. Quirós, J. M. Alameda, M. Vélez, J. I. Martı́n, Henrique Cota de Freitas and Humberto Rocha. Their work appears in journals such as Expert Systems with Applications, Physical Review B, Information Sciences, Journal of Physics Condensed Matter 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.