Gilberto Rivera
Impact in
-
- Multi-Criteria Decision Making
- Artificial Intelligence top 10%
- Imbalanced Data Classification Techniques
- Metaheuristic Optimization Algorithms Research
Papers in
-
- Metaheuristic Optimization Algorithms Research 9
- Evolutionary Algorithms and Applications 4
- Imbalanced Data Classification Techniques 2
-
- Advanced Multi-Objective Optimization Algorithms 11
- Co-authors
- Rogelio Florencia (9 shared papers)Laura Cruz–Reyes (13 shared papers)Vicente García (4 shared papers)Claudia Gómez-Santillán (12 shared papers)Eduardo Fernández (10 shared papers)J. Salvador Sánchez (2 shared papers)Ana I. Marqués (1 shared paper)Nelson Rangel-Valdez (10 shared papers)
In The Last Decade
Gilberto Rivera
25 papers receiving 392 citations
Gilberto Rivera's Hit Papers
Peers
Comparison fields: 5 of 98
- Management Science and Operations Research 80
- Artificial Intelligence 145
- Computational Theory and Mathematics 64
- Industrial and Manufacturing Engineering 31
- Environmental Engineering 38
Countries citing papers authored by Gilberto Rivera
This map shows the geographic impact of Gilberto Rivera'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 Gilberto Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilberto Rivera more than expected).
Fields of papers citing papers by Gilberto Rivera
This network shows the impact of papers produced by Gilberto Rivera. 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 Gilberto Rivera. The network helps show where Gilberto Rivera may publish in the future.
Co-authors
The 22 scholars most cited alongside Gilberto Rivera, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | LiDAR applications in precision agriculture for cultivating crops: A review of recent advances Hit paper breakdown → | 2023 | 114 |
| 2 | 2019 | 74 | |
| 3 | 2015 | 39 | |
| 4 | 2014 | 32 | |
| 5 | 2021 | 21 | |
| 6 | 2020 | 19 | |
| 7 | 2021 | 17 | |
| 8 | 2022 | 16 | |
| 9 | 2020 | 13 | |
| 10 | 2021 | 11 | |
| 11 | 2023 | 7 | |
| 12 | 2019 | 6 | |
| 13 | 2018 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 5 | |
| 16 | Uncertainty Modelling for Project Portfolio Problem using Interval Analysis | 2016 | 3 |
| 17 | Solution to the Social Portfolio Problem by Evolutionary Algorithms | 2012 | 2 |
| 18 | Reduction of Decision Rules for Project Explanation on Public Project Portfolio | 2015 | 2 |
| 19 | 2023 | 2 | |
| 20 | 2021 | 2 |
About Gilberto Rivera
Gilberto Rivera is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Computer Networks and Communications and Control and Systems Engineering, having authored 27 papers that have together received 401 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (11 papers), Metaheuristic Optimization Algorithms Research (9 papers), Multi-Criteria Decision Making (7 papers), Evolutionary Algorithms and Applications (4 papers), Scheduling and Timetabling Solutions (2 papers), Optimization and Mathematical Programming (2 papers), Imbalanced Data Classification Techniques (2 papers) and Infection Control and Ventilation (1 paper). The work is most often cited by research in Management Science and Operations Research (80 citations), Artificial Intelligence (145 citations), Computational Theory and Mathematics (64 citations), Industrial and Manufacturing Engineering (31 citations) and Environmental Engineering (38 citations). Gilberto Rivera has collaborated with scholars based in Mexico, Spain and Canada. Frequent co-authors include Rogelio Florencia, Laura Cruz–Reyes, Vicente García, Claudia Gómez-Santillán, Eduardo Fernández, J. Salvador Sánchez, Ana I. Marqués, Nelson Rangel-Valdez, Fátima Pérez García and Carlos A. Coello Coello. Their work appears in journals such as Swarm and Evolutionary Computation, Information Sciences, Expert Systems with Applications, Engineering Applications of Artificial Intelligence and Applied Sciences.
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.