Antonio Candelieri

88 papers and 1.6k indexed citations i.

About

Antonio Candelieri is a scholar working on Civil and Structural Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Antonio Candelieri has authored 88 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Civil and Structural Engineering, 26 papers in Artificial Intelligence and 17 papers in Computational Theory and Mathematics. Recurrent topics in Antonio Candelieri’s work include Water Systems and Optimization (22 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Machine Learning and Data Classification (9 papers). Antonio Candelieri is often cited by papers focused on Water Systems and Optimization (22 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Machine Learning and Data Classification (9 papers). Antonio Candelieri collaborates with scholars based in Italy, United States and Russia. Antonio Candelieri's co-authors include Francesco Archetti, Marco Matucci‐Cerinic, Domenico Conforti, Francesca Bandinelli and G Dolce and has published in prestigious journals such as Scientific Reports, Annals of the Rheumatic Diseases and Expert Systems with Applications.

In The Last Decade

Fields of papers citing papers by Antonio Candelieri

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 Antonio Candelieri. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Antonio Candelieri may publish in the future.

Countries citing papers authored by Antonio Candelieri

Since Specialization
Citations

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

Rankless by CCL
2025