Matan Eyal

25 total papers · 1.1k total citations
9 papers, 98 citations indexed

About

Matan Eyal is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Matan Eyal has authored 9 papers receiving a total of 98 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Information Systems. Recurrent topics in Matan Eyal's work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Cellular Automata and Applications (1 paper). Matan Eyal is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Cellular Automata and Applications (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, Roee Aharoni, Jonathan Herzig, Dan Lahav, Nicki Skafte Detlefsen, Oren Shriki, Gal Yona and Amir Feder and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU).

In The Last Decade

Matan Eyal

9 papers receiving 90 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Matan Eyal	83	16	13	6	6	9	98
Ehsan Hajiramezanali	58 0.7×	18 1.1×	11 0.8×	11 1.8×	3 0.5×	8	95
Kumar Shridhar	75 0.9×	7 0.4×	14 1.1×	10 1.7×	4 0.7×	13	97
Aohan Zeng	46 0.6×	14 0.9×	13 1.0×	7 1.2×	3 0.5×	6	71
Tri Dao	37 0.4×	18 1.1×	20 1.5×	3 0.5×	4 0.7×	12	74
Peter Bloem	47 0.6×	19 1.2×	10 0.8×	12 2.0×	7 1.2×	9	84
Sheng Wang	41 0.5×	20 1.3×	17 1.3×	7 1.2×	2 0.3×	12	94
Hongzhi Wen	58 0.7×	44 2.8×	14 1.1×	9 1.5×	3 0.5×	7	125
Suyang Dai	103 1.2×	21 1.3×	8 0.6×	20 3.3×	3 0.5×	7	119
Julien Tourille	94 1.1×	44 2.8×	6 0.5×	4 0.7×	9 1.5×	9	106
Eric Joanis	202 2.4×	11 0.7×	16 1.2×	12 2.0×	7 1.2×	15	214

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).

Fields of papers citing papers by Matan Eyal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matan Eyal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matan Eyal. The network helps show where Matan Eyal may publish in the future.

Co-authorship network of co-authors of Matan Eyal

This figure shows the co-authorship network connecting the top 25 collaborators of Matan Eyal. A scholar is included among the top collaborators of Matan Eyal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matan Eyal. Matan Eyal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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