Coromoto León

1.4k citations
107 papers · 1.0k · h-index 18

Impact in

Papers in

Coromoto León

105 papers receiving 1.0k citations

Peers

Coromoto León
Comparison fields: 5 of 90
  • Computational Theory and Mathematics 436
  • Industrial and Manufacturing Engineering 245
  • Artificial Intelligence 510
  • Hardware and Architecture 88
  • Computer Science Applications 71
Replace Alfredo Navarra with:
Alfredo Navarra Italy
Eugenio Roanes–Lozano Spain
Peter Grogono Canada
Nikolaos Samaras Greece
P. P. Chakrabarti India
David J. Smith New Zealand
Daniel D. Deavours United States
Tania Querido United States
Rhyd Lewis United Kingdom
Derek Long Australia
Coromoto León relative to Alfredo Navarra Italy Alfredo Navarra's profile →
Citations per field
00.5×3.8×
Alfredo Navarra · 1×
Citations per year

Countries citing papers authored by Coromoto León

Since Specialization
Citations

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

Fields of papers citing papers by Coromoto León

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Coromoto León, 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 Coromoto León Line = papers co-authored together Coromoto León links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200288
2 201573
3 201354
4 200654
5 200942
6 200840
7 200930
8 202028
9 201026
10 202225
11 200825
12 201423
13 200921
14 201120
15 201719
16 201119
17 201319
18 201018
19 202017
20 201316

About Coromoto León

Coromoto León is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Computer Networks and Communications and Hardware and Architecture, having authored 107 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (38 papers), Metaheuristic Optimization Algorithms Research (30 papers), Optimization and Packing Problems (24 papers), Evolutionary Algorithms and Applications (18 papers), Parallel Computing and Optimization Techniques (17 papers), Advanced Manufacturing and Logistics Optimization (16 papers), Interconnection Networks and Systems (10 papers) and Teaching and Learning Programming (9 papers). The work is most often cited by research in Computational Theory and Mathematics (436 citations), Industrial and Manufacturing Engineering (245 citations), Artificial Intelligence (510 citations), Hardware and Architecture (88 citations) and Computer Science Applications (71 citations). Coromoto León has collaborated with scholars based in Spain, Mexico and United Kingdom. Frequent co-authors include Carlos Segura, Gara Miranda, Eduardo Segredo, Carlos A. Coello Coello, C. Rodrı́guez, Enrique Alba, Jésica de Armas, Fatos Xhafa, Carlos Cotta and María J. Blesa. Their work appears in journals such as Soft Computing, Lecture notes in computer science, IEEE Access, IEEE Transactions on Education and Parallel 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.

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