Mauricio A. Sanchez

36 papers receiving 1.1k citations

Peers

Mauricio A. Sanchez
Comparison fields: 5 of 104
  • Artificial Intelligence 574
  • Control and Systems Engineering 265
  • Management Science and Operations Research 236
  • Statistics and Probability 193
  • Computational Theory and Mathematics 152
Replace José Manuel Cadenas Figueredo with:
José Manuel Cadenas Figueredo Spain
José Soria Mexico
Yongchuan Tang China
Olivia Mendoza Mexico
María José Gacto Spain
Antonio González Spain
Hooman Tahayori Iran
Hyung Lee-Kwang South Korea
Claudia I. González Mexico
Sébastien Destercke France
Mauricio A. Sanchez relative to José Manuel Cadenas Figueredo Spain José Manuel Cadenas Figueredo's profile →
Citations per field
00.5×2.7×
José Manuel Cadenas Figueredo · 1×
Citations per year

Countries citing papers authored by Mauricio A. Sanchez

Since Specialization
Citations

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

Fields of papers citing papers by Mauricio A. Sanchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mauricio A. Sanchez. 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 Mauricio A. Sanchez. The network helps show where Mauricio A. Sanchez may publish in the future.

Co-authorship network of co-authors of Mauricio A. Sanchez

This figure shows the co-authorship network connecting the top 25 collaborators of Mauricio A. Sanchez. A scholar is included among the top collaborators of Mauricio A. Sanchez 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 Mauricio A. Sanchez. Mauricio A. Sanchez 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
#WorkIndexed citations
1 12
2 2
3 1
4 4
5 75
6 17
7 53
8 0
9 222
10 2
11 126
12 80
13 5
14 3
15 3
16 2
17 3
18 12
19 9
20 26

About Mauricio A. Sanchez

Mauricio A. Sanchez is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (17 papers), Neural Networks and Applications (9 papers) and Rough Sets and Fuzzy Logic (5 papers). The work is most often cited by research in Statistics and Probability (193 citations), Management Science and Operations Research (236 citations) and Artificial Intelligence (574 citations). Mauricio A. Sanchez has collaborated with scholars based in Mexico, United States and Spain. Frequent co-authors include Oscar Castillo, Juan R. Castro, Patricia Melín, Leticia Cervantes, José Soria, Olivia Mendoza, Leocundo Aguilar, Antonio Rodríguez-Díaz, Claudia I. González and Gabriela E. Martínez. Their work appears in journals such as PLoS ONE, Journal of Bacteriology and Expert Systems with Applications.

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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