Gilberto Rivera

724 total citations · 1 hit paper
25 papers, 380 citations indexed

About

Gilberto Rivera is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Gilberto Rivera has authored 25 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 11 papers in Management Science and Operations Research. Recurrent topics in Gilberto Rivera's work include Advanced Multi-Objective Optimization Algorithms (11 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Multi-Criteria Decision Making (7 papers). Gilberto Rivera is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (11 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Multi-Criteria Decision Making (7 papers). Gilberto Rivera collaborates with scholars based in Mexico, Spain and Canada. Gilberto Rivera's co-authors include Rogelio Florencia, Vicente García, Laura Cruz–Reyes, Claudia Gómez-Santillán, Eduardo Fernández, J. Salvador Sánchez, Ana I. Marqués, Nelson Rangel-Valdez, Fátima Pérez García and Carlos A. Coello Coello and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Applied Soft Computing.

In The Last Decade

Gilberto Rivera

23 papers receiving 370 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

LiDAR applications in precision agriculture for cultivating crops: A review of recent advances

2023 98 citations Gilberto Rivera, Rogelio Florencia et al. Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gilberto Rivera Mexico	10	143	78	64	51	46	25	380
Francisco José Martínez-Estudillo Spain	10	220 1.5×	36 0.5×	29 0.5×	16 0.3×	29 0.6×	14	384
Manavendra Misra United States	8	139 1.0×	68 0.9×	23 0.4×	24 0.5×	49 1.1×	15	466
Hojjat Emami Iran	13	217 1.5×	14 0.2×	81 1.3×	31 0.6×	83 1.8×	57	490
M. Carmen Garrido Spain	9	227 1.6×	35 0.4×	45 0.7×	20 0.4×	14 0.3×	34	402
Marcelo Teixeira Brazil	12	52 0.4×	37 0.5×	142 2.2×	25 0.5×	40 0.9×	73	394
José del Sagrado Spain	12	115 0.8×	36 0.5×	47 0.7×	42 0.8×	30 0.7×	21	369
Oliviu Matei Romania	11	109 0.8×	22 0.3×	29 0.5×	30 0.6×	26 0.6×	50	371
Jörg Lässig Germany	11	230 1.6×	21 0.3×	122 1.9×	29 0.6×	33 0.7×	44	413
Yan Ren China	11	123 0.9×	24 0.3×	60 0.9×	18 0.4×	11 0.2×	51	343
Yashuang Mu China	8	139 1.0×	27 0.3×	55 0.9×	8 0.2×	47 1.0×	25	438

Countries citing papers authored by Gilberto Rivera

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Gilberto Rivera

This figure shows the co-authorship network connecting the top 25 collaborators of Gilberto Rivera. A scholar is included among the top collaborators of Gilberto Rivera based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gilberto Rivera. Gilberto Rivera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rivera, Gilberto, et al.. (2025). The Scientific Landscape of Hyper-Heuristics: A Bibliometric Analysis Based on Scopus. Algorithms. 18(5). 294–294. 1 indexed citations

Fernández, Eduardo, Gilberto Rivera, Laura Cruz–Reyes, et al.. (2024). Aiding decision makers in articulating a preference closeness model through compensatory fuzzy logic for many-objective optimization problems. Knowledge-Based Systems. 304. 112524–112524. 1 indexed citations

Rivera, Gilberto, Laura Cruz–Reyes, Bernabè Dorronsoro, & Alejandro Rosete Suárez. (2023). Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications. 6 indexed citations

Rangel-Valdez, Nelson, et al.. (2023). MOSA/D-O and MOSAD/D-O-II: Performance analysis of decomposition-based algorithms in many objective problems. SoftwareX. 25. 101610–101610.

Rivera, Gilberto, et al.. (2023). LiDAR applications in precision agriculture for cultivating crops: A review of recent advances. Computers and Electronics in Agriculture. 207. 107737–107737. 98 indexed citations breakdown →

Rivera, Gilberto, Laura Cruz–Reyes, Eduardo Fernández, Claudia Gómez-Santillán, & Nelson Rangel-Valdez. (2023). An interactive ACO enriched with an eclectic multi-criteria ordinal classifier to address many-objective optimisation problems. Expert Systems with Applications. 232. 120813–120813. 2 indexed citations

García, Vicente, et al.. (2022). Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19. Applied Soft Computing. 125. 109207–109207. 16 indexed citations

Rivera, Gilberto, Laura Cruz–Reyes, Eduardo Fernández, et al.. (2022). An ACO-based Hyper-heuristic for Sequencing Many-objective Evolutionary Algorithms that Consider Different Ways to Incorporate the DM's Preferences. Swarm and Evolutionary Computation. 76. 101211–101211. 5 indexed citations

Cruz–Reyes, Laura, et al.. (2022). Hybridisation of Swarm Intelligence Algorithms with Multi-Criteria Ordinal Classification: A Strategy to Address Many-Objective Optimisation. Mathematics. 10(3). 322–322. 5 indexed citations

10.

Rivera, Gilberto, Carlos A. Coello Coello, Laura Cruz–Reyes, et al.. (2021). Preference incorporation into many-objective optimization: An Ant colony algorithm based on interval outranking. Swarm and Evolutionary Computation. 69. 101024–101024. 17 indexed citations

11.

Pedrycz, Witold, Luis Martı́nez, Rafael Alejandro Espín Andrade, Gilberto Rivera, & Jorge Marx Gómez. (2021). Computational Intelligence for Business Analytics. Studies in computational intelligence. 2 indexed citations

12.

Rivera, Gilberto, et al.. (2020). News Classification for Identifying Traffic Incident Points in a Spanish-Speaking Country: A Real-World Case Study of Class Imbalance Learning. Applied Sciences. 10(18). 6253–6253. 13 indexed citations

13.

Rivera, Gilberto, et al.. (2020). Genetic Algorithm for Scheduling Optimization Considering Heterogeneous Containers: A Real-World Case Study. Axioms. 9(1). 27–27. 18 indexed citations

14.

Fernández, Eduardo, et al.. (2019). INFERRING PARAMETERS OF A RELATIONAL SYSTEM OF PREFERENCES FROM ASSIGNMENT EXAMPLES USING AN EVOLUTIONARY ALGORITHM. Technological and Economic Development of Economy. 0(0). 1–23. 6 indexed citations

15.

Ochoa, Alberto, et al.. (2019). Small steps towards a smart city: Mobile application that provides options for the use of public transport in Juarez City. 100–105.

16.

Rangel-Valdez, Nelson, Eduardo Fernández, Laura Cruz–Reyes, et al.. (2018). Robustness Analysis of an Outranking Model Parameters’ Elicitation Method in the Presence of Noisy Examples. Mathematical Problems in Engineering. 2018. 1–10. 6 indexed citations

17.

Fernández, Eduardo, et al.. (2016). Uncertainty Modelling for Project Portfolio Problem using Interval Analysis. Redalyc (Universidad Autónoma del Estado de México). 7(3). 20–27. 3 indexed citations

18.

Cruz–Reyes, Laura, et al.. (2015). Reduction of Decision Rules for Project Explanation on Public Project Portfolio. Redalyc (Universidad Autónoma del Estado de México). 6(3). 5–21. 2 indexed citations

19.

Fernández, Eduardo, Claudia Gómez-Santillán, Gilberto Rivera, & Laura Cruz–Reyes. (2015). Hybrid metaheuristic approach for handling many objectives and decisions on partial support in project portfolio optimisation. Information Sciences. 315. 102–122. 38 indexed citations

20.

Rivera, Gilberto, et al.. (2012). Solution to the Social Portfolio Problem by Evolutionary Algorithms. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 3(2). 21–30. 2 indexed citations

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.

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