Carlos Lassance

15 papers and 80 indexed citations i.

About

Carlos Lassance is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Carlos Lassance has authored 15 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Carlos Lassance’s work include Topic Modeling (8 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (4 papers). Carlos Lassance is often cited by papers focused on Topic Modeling (8 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (4 papers). Carlos Lassance collaborates with scholars based in France, United States and Canada. Carlos Lassance's co-authors include Stéphane Clinchant, Thibault Formal, Benjamin Piwowarski, Vincent Gripon, Antonio Ortega, Joo‐Hee Park, Hervé Déjean, Nicola Tonellotto, Jimmy Lin and Ehsan Kamalloo and has published in prestigious journals such as Algorithms, Journal of Imaging and APSIPA Transactions on Signal and Information Processing.

In The Last Decade

Co-authorship network of co-authors of Carlos Lassance i

Fields of papers citing papers by Carlos Lassance

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

Countries citing papers authored by Carlos Lassance

Since Specialization
Citations

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

Rankless by CCL
2025