Fernando Jiménez

2.2k citations
87 papers · 1.2k · h-index 18

Impact in

Papers in

Fernando Jiménez

78 papers receiving 1.2k citations

Peers

Fernando Jiménez
Comparison fields: 5 of 144
  • Artificial Intelligence 462
  • Computational Theory and Mathematics 185
  • Management Science and Operations Research 123
  • Environmental Engineering 102
  • Signal Processing 69
Replace Yinghua Shen with:
Yinghua Shen China
Serdar Korukoğlu Türkiye
Abiodun M. Ikotun South Africa
Daniel Neagu United Kingdom
René Víctor Valqui Vidal Denmark
Azuraliza Abu Bakar Malaysia
Wei Lu China
Arie Ben‐David Israel
Neha Bharill India
Xinyang Deng China
Fernando Jiménez relative to Yinghua Shen China Yinghua Shen's profile →
Citations per field
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Yinghua Shen · 1×
Citations per year

Countries citing papers authored by Fernando Jiménez

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Jiménez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fernando Jiménez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fernando Jiménez Line = papers co-authored together Fernando Jiménez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019113
2 201292
3 201685
4 200982
5 200366
6 202160
7 201955
8 201450
9 202039
10 202238
11 199933
12 200629
13 202326
14 201324
15 202022
16 201921
17 201619
18 200219
19 200317
20 199617

About Fernando Jiménez

Fernando Jiménez is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Numerical Analysis and Sociology and Political Science, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (15 papers), Evolutionary Algorithms and Applications (13 papers), Metaheuristic Optimization Algorithms Research (13 papers), Fuzzy Logic and Control Systems (12 papers), Numerical methods for differential equations (8 papers), Neural Networks and Applications (7 papers), Fuzzy Systems and Optimization (7 papers) and Advanced Numerical Methods in Computational Mathematics (5 papers). The work is most often cited by research in Artificial Intelligence (462 citations), Computational Theory and Mathematics (185 citations), Management Science and Operations Research (123 citations), Environmental Engineering (102 citations) and Signal Processing (69 citations). Fernando Jiménez has collaborated with scholars based in Spain, Italy and United Kingdom. Frequent co-authors include Gracia Sánchez, Antonio Skármeta, José Palma, Guido Sciavicco, Aurora González-Vidal, Manuel Villoria Mendieta, José Luís Verdegay, José M. Garcı́a, Kalyanmoy Deb and José M. Juárez. Their work appears in journals such as Information Sciences, Artificial Intelligence in Medicine, IEEE Access, Soft Computing and Swarm and Evolutionary Computation.

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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