J.E. Solís-Pérez

33 total papers · 922 total citations
28 papers, 737 citations indexed

About

J.E. Solís-Pérez is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Computer Vision and Pattern Recognition. According to data from OpenAlex, J.E. Solís-Pérez has authored 28 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistical and Nonlinear Physics, 12 papers in Modeling and Simulation and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in J.E. Solís-Pérez's work include Fractional Differential Equations Solutions (12 papers), Chaos control and synchronization (11 papers) and Advanced Control Systems Design (4 papers). J.E. Solís-Pérez is often cited by papers focused on Fractional Differential Equations Solutions (12 papers), Chaos control and synchronization (11 papers) and Advanced Control Systems Design (4 papers). J.E. Solís-Pérez collaborates with scholars based in Mexico, Saudi Arabia and Egypt. J.E. Solís-Pérez's co-authors include J. F. Gómez‐Aguilar, Abdon Atangana, R.F. Escobar-Jiménez, J.A. Hernández, J. E. Lavín-Delgado, Hadi Jahanshahi, Yu‐Ming Chu, Amin Yousefpour, Stelios Bekiros and Dumitru Bǎleanu and has published in prestigious journals such as Energy and Buildings, Neural Networks and Applied Soft Computing.

In The Last Decade

J.E. Solís-Pérez

27 papers receiving 711 citations

Author Peers

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

Author						Papers	Cites
J.E. Solís-Pérez	417	188	128	127	108	28	737
Mohamed Adel	404 1.0×	201 1.1×	85 0.7×	199 1.6×	62 0.6×	98	773
H. R. Mohammadi Daniali	402 1.0×	157 0.8×	187 1.5×	176 1.4×	91 0.8×	27	680
Hassan Saberi Nik	322 0.8×	397 2.1×	139 1.1×	192 1.5×	56 0.5×	63	849
R. CALICO	385 0.9×	298 1.6×	371 2.9×	129 1.0×	33 0.3×	28	874
Rohul Amin	547 1.3×	114 0.6×	55 0.4×	342 2.7×	91 0.8×	61	766
A. M. Nagy	633 1.5×	184 1.0×	147 1.1×	406 3.2×	61 0.6×	40	825
Adnène Arbi	141 0.3×	192 1.0×	152 1.2×	51 0.4×	51 0.5×	36	770
Piotr Ostalczyk	434 1.0×	128 0.7×	465 3.6×	161 1.3×	46 0.4×	53	817
Özlem Defterli	481 1.2×	81 0.4×	134 1.0×	267 2.1×	86 0.8×	20	840
Song Liu	281 0.7×	136 0.7×	346 2.7×	63 0.5×	89 0.8×	43	835

Countries citing papers authored by J.E. Solís-Pérez

Since Specialization

Citations

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

Fields of papers citing papers by J.E. Solís-Pérez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.E. Solís-Pérez. 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 J.E. Solís-Pérez. The network helps show where J.E. Solís-Pérez may publish in the future.

Co-authorship network of co-authors of J.E. Solís-Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of J.E. Solís-Pérez. A scholar is included among the top collaborators of J.E. Solís-Pérez 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 J.E. Solís-Pérez. J.E. Solís-Pérez 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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