Matan Eyal

9 papers and 72 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 9 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 6 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 (5 papers) and Algorithms and Data Compression (1 paper). Matan Eyal is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Algorithms and Data Compression (1 paper). Matan Eyal collaborates with scholars based in Israel, United Kingdom and United States. Matan Eyal's co-authors include Yoav Goldberg, Idan Szpektor, Roee Aharoni, Jonathan Herzig and Oren Freifeld and has published in prestigious journals such as and .

In The Last Decade

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