William La Cava

48 papers and 1.5k indexed citations i.

About

William La Cava is a scholar working on Artificial Intelligence, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, William La Cava has authored 48 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 8 papers in Molecular Biology and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in William La Cava’s work include Evolutionary Algorithms and Applications (18 papers), Metaheuristic Optimization Algorithms Research (13 papers) and Machine Learning and Data Classification (8 papers). William La Cava is often cited by papers focused on Evolutionary Algorithms and Applications (18 papers), Metaheuristic Optimization Algorithms Research (13 papers) and Machine Learning and Data Classification (8 papers). William La Cava collaborates with scholars based in United States, Portugal and Italy. William La Cava's co-authors include Jason H. Moore, Kourosh Danai, Lee Spector, Matthew A. Lackner and Ryan J. Urbanowicz and has published in prestigious journals such as Circulation, Bioinformatics and Journal of the American College of Cardiology.

In The Last Decade

Fields of papers citing papers by William La Cava

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

Countries citing papers authored by William La Cava

Since Specialization
Citations

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

Rankless by CCL
2025