Daniel Zaldívar

4.2k total citations · 2 hit papers
96 papers, 2.7k citations indexed

About

Daniel Zaldívar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Daniel Zaldívar has authored 96 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 36 papers in Computer Vision and Pattern Recognition and 16 papers in Computational Theory and Mathematics. Recurrent topics in Daniel Zaldívar's work include Metaheuristic Optimization Algorithms Research (32 papers), Evolutionary Algorithms and Applications (21 papers) and Image and Object Detection Techniques (14 papers). Daniel Zaldívar is often cited by papers focused on Metaheuristic Optimization Algorithms Research (32 papers), Evolutionary Algorithms and Applications (21 papers) and Image and Object Detection Techniques (14 papers). Daniel Zaldívar collaborates with scholars based in Mexico, Spain and Germany. Daniel Zaldívar's co-authors include Erik Cuevas, Marco Pérez‐Cisneros, Diego Oliva, Miguel Cienfuegos, Bernardo Morales-Castañeda, Fernando Fausto, Alma Rodríguez, Gonzalo Pájares, Humberto Sossa and Raúl Rojas and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Daniel Zaldívar

87 papers receiving 2.6k citations

Hit Papers

A swarm optimization algorithm inspired in the behavior o... 2013 2026 2017 2021 2013 2020 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A swarm optimization algorithm inspired in the behavior of the social-spider
    2013 408 citations Erik Cuevas, Miguel Cienfuegos et al. Expert Systems with Applications profile →
  2. A better balance in metaheuristic algorithms: Does it exist?
    2020 283 citations Bernardo Morales-Castañeda, Daniel Zaldívar et al. Swarm and Evolutionary Computation profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Zaldívar Mexico 27 1.3k 961 543 310 300 96 2.7k
Marco Pérez‐Cisneros Mexico 31 1.4k 1.0× 956 1.0× 511 0.9× 481 1.6× 293 1.0× 144 3.0k
Guopu Zhu China 25 882 0.7× 1.4k 1.4× 325 0.6× 275 0.9× 340 1.1× 81 2.6k
M. Hassaballah Egypt 27 911 0.7× 1.2k 1.2× 299 0.6× 218 0.7× 173 0.6× 84 2.8k
Patrick Siarry France 21 879 0.7× 630 0.7× 412 0.8× 230 0.7× 231 0.8× 35 2.1k
Heming Jia China 22 952 0.7× 604 0.6× 331 0.6× 181 0.6× 216 0.7× 57 1.7k
Mahamed G. H. Omran Kuwait 19 1.7k 1.3× 478 0.5× 752 1.4× 270 0.9× 116 0.4× 49 2.6k
Marco Wiering Netherlands 31 1.3k 1.0× 720 0.7× 321 0.6× 311 1.0× 179 0.6× 135 3.3k
Dawid Połap Poland 28 1.1k 0.8× 702 0.7× 202 0.4× 284 0.9× 138 0.5× 113 2.6k
E. Emary Egypt 25 2.0k 1.5× 653 0.7× 566 1.0× 349 1.1× 110 0.4× 50 3.2k
Zhenmin Tang China 27 872 0.6× 1.3k 1.4× 400 0.7× 139 0.4× 210 0.7× 221 2.6k

Countries citing papers authored by Daniel Zaldívar

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Zaldívar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Zaldívar

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

All Works

20 of 20 papers shown
1.
Cuevas, Erik, et al.. (2024). An initialization approach for metaheuristic algorithms by using Gibbs sampling. Mathematics and Computers in Simulation. 225. 586–606.
2.
Cuevas, Erik, et al.. (2024). Balancing individual and collective strategies: A new approach in metaheuristic optimization. Mathematics and Computers in Simulation. 227. 322–346. 5 indexed citations
3.
Cuevas, Erik, et al.. (2024). DC Motors.
4.
Zaldívar, Daniel, et al.. (2023). Enhancing Pneumonia Segmentation in Lung Radiographs: A Jellyfish Search Optimizer Approach. Mathematics. 11(20). 4363–4363. 4 indexed citations
5.
Cuevas, Erik, Daniel Zaldívar, & Marco Pérez‐Cisneros. (2021). Metaheuristic schemes and machine learning techniques: A synergistic perspective. Applied Mathematical Modelling. 104. 850–851.
6.
Morales-Castañeda, Bernardo, Daniel Zaldívar, Erik Cuevas, Fernando Fausto, & Alma Rodríguez. (2020). A better balance in metaheuristic algorithms: Does it exist?. Swarm and Evolutionary Computation. 54. 100671–100671. 283 indexed citations breakdown →
7.
Rodríguez, Alma, et al.. (2020). Group-based synchronous-asynchronous Grey Wolf Optimizer. Applied Mathematical Modelling. 93. 226–243. 18 indexed citations
8.
Rodrí­guez-Esparza, Erick, Laura A. Zanella-Calzada, Diego Oliva, et al.. (2020). An efficient Harris hawks-inspired image segmentation method. Expert Systems with Applications. 155. 113428–113428. 164 indexed citations
9.
Morales-Castañeda, Bernardo, et al.. (2019). An improved Simulated Annealing algorithm based on ancient metallurgy techniques. Applied Soft Computing. 84. 105761–105761. 43 indexed citations
10.
Rodríguez, Alma, et al.. (2019). Clustering with biological visual models. Physica A Statistical Mechanics and its Applications. 528. 121505–121505. 3 indexed citations
11.
Cuevas, Erik, et al.. (2018). A selection method for evolutionary algorithms based on the Golden Section. Expert Systems with Applications. 106. 183–196. 22 indexed citations
12.
Cuevas, Erik, Daniel Zaldívar, Gonzalo Pájares, Marco Pérez‐Cisneros, & Raúl Rojas. (2018). Computational Intelligence in Image Processing 2018. Mathematical Problems in Engineering. 2018. 1–3. 33 indexed citations
13.
Cuevas, Erik, Daniel Zaldívar, & Marco Pérez‐Cisneros. (2015). Applications of Evolutionary Computation in Image Processing and Pattern Recognition. Intelligent systems reference library. 16 indexed citations
14.
Cuevas, Erik, Miguel Cienfuegos, Daniel Zaldívar, & Marco Pérez‐Cisneros. (2013). A swarm optimization algorithm inspired in the behavior of the social-spider. Expert Systems with Applications. 40(16). 6374–6384. 408 indexed citations breakdown →
15.
Cuevas, Erik, et al.. (2013). An Improved Computer Vision Method for White Blood Cells Detection. Computational and Mathematical Methods in Medicine. 2013. 1–14. 21 indexed citations
16.
Cuevas, Erik, Valentín Osuna-Enciso, Daniel Zaldívar, Marco Pérez‐Cisneros, & Humberto Sossa. (2012). Multithreshold Segmentation Based on Artificial Immune Systems. Mathematical Problems in Engineering. 2012(1). 14 indexed citations
17.
Cuevas, Erik, Diego Oliva, Daniel Zaldívar, Marco Pérez‐Cisneros, & Gonzalo Pájares. (2012). OPPOSITION-BASED ELECTROMAGNETISM-LIKE FOR GLOBAL OPTIMIZATION. 7 indexed citations
18.
Sossa, Humberto, et al.. (2011). Alternative Way to Compute the Euler Number of a Binary Image. Journal of Applied Research and Technology. 9(3). 7 indexed citations
19.
Cuevas, Erik, Daniel Zaldívar, Marco Pérez‐Cisneros, & Edgar N. Sánchez. (2009). LVQ Neural Networks Applied To Face Segmentation. Intelligent Automation & Soft Computing. 15(3). 439–450. 4 indexed citations
20.
Cuevas, Erik, Daniel Zaldívar, & Raúl Rojas. (2005). Kalman filter for vision tracking. Refubium (Universitätsbibliothek der Freien Universität Berlin). 86 indexed citations

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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