Daniel Zaldívar

85 papers and 2.3k indexed citations i.

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 85 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 34 papers in Computer Vision and Pattern Recognition and 15 papers in Computational Theory and Mathematics. Recurrent topics in Daniel Zaldívar’s work include Metaheuristic Optimization Algorithms Research (29 papers), Evolutionary Algorithms and Applications (19 papers) and Image and Object Detection Techniques (14 papers). Daniel Zaldívar is often cited by papers focused on Metaheuristic Optimization Algorithms Research (29 papers), Evolutionary Algorithms and Applications (19 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, Gonzalo Pájares and Salvador Hinojosa and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Fields of papers citing papers by Daniel Zaldívar

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Daniel Zaldívar. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniel Zaldívar may publish in the future.

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).

Rankless by CCL
2025