Emanuel Ontiveros-Robles

948 total citations
20 papers, 671 citations indexed

About

Emanuel Ontiveros-Robles is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Theory and Mathematics. According to data from OpenAlex, Emanuel Ontiveros-Robles has authored 20 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Statistics and Probability and 3 papers in Computational Theory and Mathematics. Recurrent topics in Emanuel Ontiveros-Robles's work include Fuzzy Logic and Control Systems (18 papers), Fuzzy Systems and Optimization (13 papers) and Neural Networks and Applications (10 papers). Emanuel Ontiveros-Robles is often cited by papers focused on Fuzzy Logic and Control Systems (18 papers), Fuzzy Systems and Optimization (13 papers) and Neural Networks and Applications (10 papers). Emanuel Ontiveros-Robles collaborates with scholars based in Mexico and United States. Emanuel Ontiveros-Robles's co-authors include Patricia Melín, Oscar Castillo, Patricia Ochoa, José Soria, Fevrier Valdez, Cinthia Peraza, Juan R. Castro, Claudia I. González, Dimitris G. Manolakis and Michael Pieper and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Engineering Applications of Artificial Intelligence.

In The Last Decade

Emanuel Ontiveros-Robles

19 papers receiving 658 citations

Peers

Emanuel Ontiveros-Robles
Gang Leng United Kingdom
Qiang Hua China
Emanuel Ontiveros-Robles
Citations per year, relative to Emanuel Ontiveros-Robles Emanuel Ontiveros-Robles (= 1×) peers Leticia Cervantes

Countries citing papers authored by Emanuel Ontiveros-Robles

Since Specialization
Citations

This map shows the geographic impact of Emanuel Ontiveros-Robles'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 Emanuel Ontiveros-Robles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuel Ontiveros-Robles more than expected).

Fields of papers citing papers by Emanuel Ontiveros-Robles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emanuel Ontiveros-Robles. 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 Emanuel Ontiveros-Robles. The network helps show where Emanuel Ontiveros-Robles may publish in the future.

Co-authorship network of co-authors of Emanuel Ontiveros-Robles

This figure shows the co-authorship network connecting the top 25 collaborators of Emanuel Ontiveros-Robles. A scholar is included among the top collaborators of Emanuel Ontiveros-Robles 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 Emanuel Ontiveros-Robles. Emanuel Ontiveros-Robles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ontiveros-Robles, Emanuel, Patricia Melín, & Oscar Castillo. (2024). Interval Type-3 Shadowed Sets as an Efficient Way to Approximate Interval Type-3 Fuzzy Systems. International Journal of Fuzzy Systems. 27(6). 1651–1669.
2.
Ontiveros-Robles, Emanuel, Patricia Melín, & Oscar Castillo. (2024). Towards an Efficient Approach for Mamdani Interval Type-3 Fuzzy Inference Systems. International Journal of Fuzzy Systems. 26(7). 2172–2190. 5 indexed citations
3.
Ontiveros-Robles, Emanuel, Patricia Melín, & Oscar Castillo. (2021). An Efficient High-Order α-Plane Aggregation in General Type-2 Fuzzy Systems Using Newton–Cotes Rules. International Journal of Fuzzy Systems. 23(4). 1102–1121. 15 indexed citations
4.
Melín, Patricia, Emanuel Ontiveros-Robles, & Oscar Castillo. (2021). New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic. SpringerBriefs in applied sciences and technology. 3 indexed citations
5.
Ontiveros-Robles, Emanuel, Oscar Castillo, & Patricia Melín. (2021). Towards asymmetric uncertainty modeling in designing General Type-2 Fuzzy classifiers for medical diagnosis. Expert Systems with Applications. 183. 115370–115370. 29 indexed citations
6.
Ontiveros-Robles, Emanuel, Patricia Melín, & Oscar Castillo. (2020). Designing hybrid classifiers based on general type-2 fuzzy logic and support vector machines. Soft Computing. 24(23). 18009–18019. 8 indexed citations
7.
Ontiveros-Robles, Emanuel, Oscar Castillo, & Patricia Melín. (2020). An approach for non-singleton generalized Type-2 fuzzy classifiers. Journal of Intelligent & Fuzzy Systems. 39(5). 7203–7215. 7 indexed citations
8.
Ontiveros-Robles, Emanuel, Patricia Melín, & Oscar Castillo. (2020). Comparative study of interval Type-2 and general Type-2 fuzzy systems in medical diagnosis. Information Sciences. 525. 37–53. 92 indexed citations
9.
Ontiveros-Robles, Emanuel, et al.. (2019). Design and FPGA Implementation of Real-Time Edge Detectors Based on Interval Type-2 Fuzzy Systems.. 33. 295–320. 9 indexed citations
10.
Castillo, Oscar, Patricia Melín, Fevrier Valdez, et al.. (2019). Shadowed Type-2 Fuzzy Systems for Dynamic Parameter Adaptation in Harmony Search and Differential Evolution Algorithms. Algorithms. 12(1). 17–17. 32 indexed citations
11.
Ontiveros-Robles, Emanuel & Patricia Melín. (2019). Toward a development of general type-2 fuzzy classifiers applied in diagnosis problems through embedded type-1 fuzzy classifiers. Soft Computing. 24(1). 83–99. 34 indexed citations
12.
Ontiveros-Robles, Emanuel & Patricia Melín. (2019). A hybrid design of shadowed type-2 fuzzy inference systems applied in diagnosis problems. Engineering Applications of Artificial Intelligence. 86. 43–55. 27 indexed citations
13.
Ontiveros-Robles, Emanuel, Patricia Melín, & Oscar Castillo. (2019). Relevance of Polynomial Order in Takagi-Sugeno Fuzzy Inference Systems Applied in Diagnosis Problems. 1–6. 7 indexed citations
14.
Castillo, Oscar, Patricia Melín, Emanuel Ontiveros-Robles, et al.. (2019). A high-speed interval type 2 fuzzy system approach for dynamic parameter adaptation in metaheuristics. Engineering Applications of Artificial Intelligence. 85. 666–680. 59 indexed citations
15.
Melín, Patricia, Emanuel Ontiveros-Robles, Claudia I. González, Juan R. Castro, & Oscar Castillo. (2018). An approach for parameterized shadowed type-2 fuzzy membership functions applied in control applications. Soft Computing. 23(11). 3887–3901. 50 indexed citations
16.
Ontiveros-Robles, Emanuel, Patricia Melín, & Oscar Castillo. (2018). Comparative analysis of noise robustness of type 2 fuzzy logic controllers. Kybernetika. 175–201. 148 indexed citations
17.
Ontiveros-Robles, Emanuel, Patricia Melín, & Oscar Castillo. (2018). High order α-planes integration: A new approach to computational cost reduction of General Type-2 Fuzzy Systems. Engineering Applications of Artificial Intelligence. 74. 186–197. 77 indexed citations
18.
Ontiveros-Robles, Emanuel, Patricia Melín, & Oscar Castillo. (2017). New Methodology to Approximate Type-Reduction Based on a Continuous Root-Finding Karnik Mendel Algorithm. Algorithms. 10(3). 77–77. 54 indexed citations
19.
Ontiveros-Robles, Emanuel, et al.. (2016). A hardware architecture for real-time edge detection based on interval type-2 fuzzy logic. 804–810. 9 indexed citations
20.
Manolakis, Dimitris G., et al.. (2008). Software algorithms for false alarm reduction in LWIR hyperspectral chemical agent detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6966. 69661U–69661U. 6 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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