Matan Eyal

10 papers and 75 indexed citations i.

About

Matan Eyal is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matan Eyal has authored 10 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Matan Eyal’s work include Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Advanced Text Analysis Techniques (1 paper). Matan Eyal is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Advanced Text Analysis Techniques (1 paper). Matan Eyal collaborates with scholars based in Israel, Denmark and United States. Matan Eyal's co-authors include Michael Elhadad, Tal Baumel, Yoav Goldberg, Dan Lahav, Roee Aharoni, Amir Feder, Nicki Skafte Detlefsen, Jonathan Herzig, Roi Reichart and Oren Shriki and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), arXiv (Cornell University) and Research Portal Denmark.

In The Last Decade

Co-authorship network of co-authors of Matan Eyal i

Fields of papers citing papers by Matan Eyal

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

Countries citing papers authored by Matan Eyal

Since Specialization
Citations

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

Rankless by CCL
2025