Gara Miranda

829 citations
68 papers · 641 · h-index 14

Impact in

Papers in

Gara Miranda

65 papers receiving 620 citations

Peers

Gara Miranda
Comparison fields: 5 of 85
  • Industrial and Manufacturing Engineering 176
  • Computational Theory and Mathematics 279
  • Artificial Intelligence 289
  • Computer Science Applications 43
  • Computer Graphics and Computer-Aided Design 20
Replace Judith S. Liebman with:
Judith S. Liebman United States
Antonio Bolufé-Röhler Canada
Xiaoning Shen China
Aziz Ouaarab Morocco
Yinan Guo China
Yann Disser Germany
Yuren Zhou China
Mingchang Chih Taiwan
Hugues Marchand Belgium
Marcela Quiróz-Castellanos Mexico
Gara Miranda relative to Judith S. Liebman United States Judith S. Liebman's profile →
Citations per field
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Judith S. Liebman · 1×
Citations per year

Countries citing papers authored by Gara Miranda

Since Specialization
Citations

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

Fields of papers citing papers by Gara Miranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201573
2 201354
3 200942
4 200840
5 200930
6 202028
7 201026
8 200825
9 200921
10 201719
11 201319
12 201018
13 202014
14 200813
15 200911
16 200711
17 200911
18 202210
19 201110
20 20209

About Gara Miranda

Gara Miranda is a scholar working on Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Artificial Intelligence, Computer Science Applications and Electrical and Electronic Engineering, having authored 68 papers that have together received 641 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (25 papers), Optimization and Packing Problems (19 papers), Metaheuristic Optimization Algorithms Research (19 papers), Advanced Manufacturing and Logistics Optimization (15 papers), Evolutionary Algorithms and Applications (12 papers), Teaching and Learning Programming (8 papers), Scheduling and Optimization Algorithms (6 papers) and Vehicle Routing Optimization Methods (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (176 citations), Computational Theory and Mathematics (279 citations), Artificial Intelligence (289 citations), Computer Science Applications (43 citations) and Computer Graphics and Computer-Aided Design (20 citations). Gara Miranda has collaborated with scholars based in Spain, Mexico and United States. Frequent co-authors include Coromoto León, Carlos Segura, Carlos A. Coello Coello, Eduardo Segredo, Jésica de Armas, C. Rodrı́guez, Miguel Á. Vega-Rodríguez, Enrique Alba, Juan A. Gómez‐Pulido and Francisco Luna. Their work appears in journals such as IEEE Access, Memetic Computing, International Journal of Web and Grid Services, Annals of Operations Research and Computer Applications in Engineering Education.

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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