Olivia Mendoza
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Statistics and Probability top 2%
- Management Science and Operations Research top 2%
- Control and Systems Engineering top 5%
- Co-authors
- Patricia MelínOscar CastilloJuan R. CastroClaudia I. GonzálezGuillermo LiceaAntonio Rodríguez-DíazMauricio A. SanchezMiguel López
- Topics
- Fuzzy Logic and Control Systems (34 papers)Neural Networks and Applications (31 papers)Fuzzy Systems and Optimization (9 papers)
- Partner nations
- MexicoUnited States
In The Last Decade
Olivia Mendoza
42 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 654
- Computer Vision and Pattern Recognition 364
- Statistics and Probability 230
- Management Science and Operations Research 221
- Control and Systems Engineering 160
Countries citing papers authored by Olivia Mendoza
This map shows the geographic impact of Olivia Mendoza'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 Olivia Mendoza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivia Mendoza more than expected).
Fields of papers citing papers by Olivia Mendoza
This network shows the impact of papers produced by Olivia Mendoza. 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 Olivia Mendoza. The network helps show where Olivia Mendoza may publish in the future.
Co-authorship network of co-authors of Olivia Mendoza
This figure shows the co-authorship network connecting the top 25 collaborators of Olivia Mendoza. A scholar is included among the top collaborators of Olivia Mendoza 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 Olivia Mendoza. Olivia Mendoza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 51 | |
| 5 | 53 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 103 | |
| 13 | 118 | |
| 14 | 2 | |
| 15 | Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identification | 12 |
| 16 | 2 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | An Intelligent System for Modeling and Simulation with Modular Neural Networks. | 5 |
About Olivia Mendoza
Olivia Mendoza is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (34 papers), Neural Networks and Applications (31 papers) and Fuzzy Systems and Optimization (9 papers). The work is most often cited by research in Statistics and Probability (230 citations), Artificial Intelligence (654 citations) and Computer Vision and Pattern Recognition (364 citations). Olivia Mendoza has collaborated with scholars based in Mexico and United States. Frequent co-authors include Patricia Melín, Oscar Castillo, Juan R. Castro, Claudia I. González, Guillermo Licea, Antonio Rodríguez-Díaz, Mauricio A. Sanchez, Miguel López, Leticia Amador-Angulo and Gabriela E. Martínez. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and Sensors.
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.