Francisco Chávez

83 total papers · 871 total citations
45 papers, 394 citations indexed

About

Francisco Chávez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Francisco Chávez has authored 45 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Francisco Chávez's work include Evolutionary Algorithms and Applications (8 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Spectroscopy and Chemometric Analyses (3 papers). Francisco Chávez is often cited by papers focused on Evolutionary Algorithms and Applications (8 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Spectroscopy and Chemometric Analyses (3 papers). Francisco Chávez collaborates with scholars based in Spain, Mexico and United States. Francisco Chávez's co-authors include Rajesh N. Davé, Robert Pfeffer, Pablo G. Debenedetti, Gustavo Olague, Rafael Marcos Luque‐Baena, Francisco J. Rodríguez, Antonio Macı́as-Garcı́a, Francisco Fernández de Vega, Pedro J. Pardo and Bart J. Kooi and has published in prestigious journals such as IEEE Access, Industrial & Engineering Chemistry Research and Colloids and Surfaces A Physicochemical and Engineering Aspects.

In The Last Decade

Francisco Chávez

45 papers receiving 377 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Francisco Chávez	110	69	66	49	43	45	394
Qinghui Zhang	41 0.4×	47 0.7×	42 0.6×	24 0.5×	109 2.5×	56	355
Lin Li	53 0.5×	53 0.8×	32 0.5×	102 2.1×	91 2.1×	59	397
Akira Naruse	27 0.2×	35 0.5×	52 0.8×	7 0.1×	30 0.7×	36	345
A. Karthik	57 0.5×	56 0.8×	6 0.1×	43 0.9×	35 0.8×	54	414
Yuqian Zhang	70 0.6×	35 0.5×	7 0.1×	15 0.3×	61 1.4×	43	336
Zhiyan Liu	24 0.2×	37 0.5×	11 0.2×	19 0.4×	90 2.1×	28	407
Qi Zuo	74 0.7×	5 0.1×	25 0.4×	39 0.8×	26 0.6×	47	353
Xiaoyang Zheng	31 0.3×	105 1.5×	67 1.0×	7 0.1×	34 0.8×	28	440
Huafeng Chen	32 0.3×	121 1.8×	21 0.3×	8 0.2×	72 1.7×	42	435
Yang Wang	33 0.3×	51 0.7×	11 0.2×	7 0.1×	105 2.4×	35	348

Countries citing papers authored by Francisco Chávez

Since Specialization

Citations

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

Fields of papers citing papers by Francisco Chávez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francisco Chávez. 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 Francisco Chávez. The network helps show where Francisco Chávez may publish in the future.

Co-authorship network of co-authors of Francisco Chávez

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

All Works

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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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