Alan Diaz-Manríquez

438 total citations
19 papers, 332 citations indexed

About

Alan Diaz-Manríquez is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Alan Diaz-Manríquez has authored 19 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Alan Diaz-Manríquez's work include Advanced Multi-Objective Optimization Algorithms (8 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Evolutionary Algorithms and Applications (5 papers). Alan Diaz-Manríquez is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (8 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Evolutionary Algorithms and Applications (5 papers). Alan Diaz-Manríquez collaborates with scholars based in Mexico and Paraguay. Alan Diaz-Manríquez's co-authors include Gregorio Toscano‐Pulido, Carlos A. Coello Coello, Wilfrido Gómez‐Flores, Ricardo Landa Becerra, J. M. Estudillo-Ayala, R. Rojas-Laguna, César Torres-Huitzil, Edgar Tello-Leal, Jorge de la Calleja and Horacio Rostro‐González and has published in prestigious journals such as Scientific Reports, IEEE Access and Soft Computing.

In The Last Decade

Alan Diaz-Manríquez

18 papers receiving 316 citations

Peers

Alan Diaz-Manríquez
Comparison fields: 5 of 62
  • Computational Theory and Mathematics 231
  • Artificial Intelligence 200
  • Management Science and Operations Research 50
  • Mechanical Engineering 29
  • Statistics, Probability and Uncertainty 28
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Citations per field, relative to Alan Diaz-Manríquez
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Citations per year, relative to Alan Diaz-Manríquez
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Countries citing papers authored by Alan Diaz-Manríquez

Since Specialization
Citations

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

Fields of papers citing papers by Alan Diaz-Manríquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan Diaz-Manríquez. 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 Alan Diaz-Manríquez. The network helps show where Alan Diaz-Manríquez may publish in the future.

Co-authorship network of co-authors of Alan Diaz-Manríquez

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Diaz-Manríquez. A scholar is included among the top collaborators of Alan Diaz-Manríquez 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 Alan Diaz-Manríquez. Alan Diaz-Manríquez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 1
3 6
4 7
5 1
6 0
7 4
8 4
9 2
10 10
11 87
12 77
13 14
14 4
15 39
16 1
17 60
18 1
19 13

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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