Daniel M. Muñoz

86 total papers · 599 total citations
64 papers, 418 citations indexed

About

Daniel M. Muñoz is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Daniel M. Muñoz has authored 64 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 17 papers in Electrical and Electronic Engineering and 16 papers in Artificial Intelligence. Recurrent topics in Daniel M. Muñoz's work include Metaheuristic Optimization Algorithms Research (8 papers), Evolutionary Algorithms and Applications (8 papers) and Robot Manipulation and Learning (6 papers). Daniel M. Muñoz is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Evolutionary Algorithms and Applications (8 papers) and Robot Manipulation and Learning (6 papers). Daniel M. Muñoz collaborates with scholars based in Brazil, Colombia and Russia. Daniel M. Muñoz's co-authors include Carlos H. Llanos, Maurício Ayala-Rincón, Leandro dos Santos Coelho, Helon Vicente Hultmann Ayala, José Maurício Santos Torres da Motta, Janier Arias-García, Geovany A. Borges, Larissa H. Oliveira, Diana Mendes and Renato Paes de Almeida and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Mechanical Systems and Signal Processing.

In The Last Decade

Daniel M. Muñoz

51 papers receiving 396 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel M. Muñoz 145 138 84 80 78 64 418
Chengtian Ouyang 196 1.4× 66 0.5× 57 0.7× 57 0.7× 91 1.2× 39 431
Jonathan DeCastro 98 0.7× 202 1.5× 74 0.9× 121 1.5× 30 0.4× 40 465
Seung-Hwan Choi 108 0.7× 72 0.5× 59 0.7× 87 1.1× 79 1.0× 40 371
Michael Hofbaur 127 0.9× 199 1.4× 58 0.7× 73 0.9× 24 0.3× 53 415
Theodore W. Manikas 108 0.7× 114 0.8× 35 0.4× 221 2.8× 76 1.0× 41 427
Mohamadreza Ahmadi 88 0.6× 150 1.1× 58 0.7× 35 0.4× 42 0.5× 40 379
Leena Vachhani 48 0.3× 132 1.0× 76 0.9× 172 2.1× 61 0.8× 57 417
Koldo Basterretxea 217 1.5× 87 0.6× 45 0.5× 97 1.2× 120 1.5× 39 438
Bo Mi 127 0.9× 178 1.3× 30 0.4× 71 0.9× 95 1.2× 50 482
Mokhtar Nibouche 86 0.6× 61 0.4× 43 0.5× 101 1.3× 142 1.8× 55 385

Countries citing papers authored by Daniel M. Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Muñoz. 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 Daniel M. Muñoz. The network helps show where Daniel M. Muñoz may publish in the future.

Co-authorship network of co-authors of Daniel M. Muñoz

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Muñoz. A scholar is included among the top collaborators of Daniel M. Muñoz 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 Daniel M. Muñoz. Daniel M. Muñoz 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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