Navid Rekabsaz

27 papers and 194 indexed citations i.

About

Navid Rekabsaz is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Navid Rekabsaz has authored 27 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 10 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Navid Rekabsaz’s work include Topic Modeling (17 papers), Natural Language Processing Techniques (8 papers) and Recommender Systems and Techniques (5 papers). Navid Rekabsaz is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (8 papers) and Recommender Systems and Techniques (5 papers). Navid Rekabsaz collaborates with scholars based in Austria, United States and Italy. Navid Rekabsaz's co-authors include Markus Schedl, Emilia Parada‐Cabaleiro, Carsten Eickhoff, Allan Hanbury, Mihai Lupu, George Zerveas, Jon Brassey, Sebastian Hofstätter, João Palotti and Daniel J. Cohen and has published in prestigious journals such as Information Processing & Management, Language Resources and Evaluation and Frontiers in Big Data.

In The Last Decade

Co-authorship network of co-authors of Navid Rekabsaz i

Fields of papers citing papers by Navid Rekabsaz

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

Countries citing papers authored by Navid Rekabsaz

Since Specialization
Citations

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

Rankless by CCL
2025