Fernando Jiménez

2.2k citations
104 papers · 1.4k · h-index 20

Impact in

Papers in

Fernando Jiménez

95 papers receiving 1.4k citations

Peers

Fernando Jiménez
Comparison fields: 5 of 147
  • Artificial Intelligence 553
  • Computational Theory and Mathematics 224
  • Management Science and Operations Research 161
  • Statistics and Probability 67
  • Environmental Engineering 107
Replace Yinghua Shen with:
Yinghua Shen China
Serdar Korukoğlu Türkiye
Olga Kosheleva United States
René Víctor Valqui Vidal Denmark
Amit K. Shukla India
Abiodun M. Ikotun South Africa
Xinyang Deng China
Feng Shan China
Kuo-Ping Lin Taiwan
Chonghui Guo China
Fernando Jiménez relative to Yinghua Shen China Yinghua Shen's profile →
Citations per field
00.5×1.6×
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 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019123
2 201296
3 201696
4 200987
5 200380
6 202162
7 201960
8 201453
9 199948
10 202041
11 202239
12 200638
13 201328
14 202326
15 200225
16 200124
17 202024
18 201923
19 200322
20 201621

About Fernando Jiménez

Fernando Jiménez is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Numerical Analysis and Statistics and Probability, having authored 104 papers that have together received 1.4k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (21 papers), Fuzzy Logic and Control Systems (19 papers), Advanced Multi-Objective Optimization Algorithms (19 papers), Metaheuristic Optimization Algorithms Research (16 papers), Neural Networks and Applications (10 papers), Numerical methods for differential equations (9 papers), Fuzzy Systems and Optimization (9 papers) and Optimization and Mathematical Programming (7 papers). The work is most often cited by research in Artificial Intelligence (553 citations), Computational Theory and Mathematics (224 citations), Management Science and Operations Research (161 citations), Statistics and Probability (67 citations) and Environmental Engineering (107 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 Artificial Intelligence in Medicine, Information Sciences, Journal of Nonlinear Science, IEEE Access and Soft Computing.

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.

Explore authors with similar magnitude of impact