Einat Minkov

67 total papers · 1.8k total citations
47 papers, 1.3k citations indexed

About

Einat Minkov is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Einat Minkov has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 18 papers in Information Systems and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Einat Minkov's work include Topic Modeling (25 papers), Natural Language Processing Techniques (13 papers) and Advanced Graph Neural Networks (9 papers). Einat Minkov is often cited by papers focused on Topic Modeling (25 papers), Natural Language Processing Techniques (13 papers) and Advanced Graph Neural Networks (9 papers). Einat Minkov collaborates with scholars based in Israel, United States and United Kingdom. Einat Minkov's co-authors include William W. Cohen, Tsvi Kuflik, Jonathan Ledlie, Susan Grant‐Muller, Silvio Nocera, Ayelet Gal‐Tzur, Seth Teller, Richard C. Wang, Andrew Y. Ng and Jungeun Park and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and BMC Bioinformatics.

In The Last Decade

Einat Minkov

46 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Einat Minkov 584 282 253 203 155 47 1.3k
Lin Mei 590 1.0× 246 0.9× 97 0.4× 141 0.7× 142 0.9× 70 1.7k
Daniel Zhang 556 1.0× 262 0.9× 160 0.6× 228 1.1× 70 0.5× 70 1.4k
Neil Y. Yen 400 0.7× 179 0.6× 217 0.9× 353 1.7× 56 0.4× 53 1.2k
Guannan Liu 528 0.9× 253 0.9× 89 0.4× 381 1.9× 121 0.8× 66 1.4k
Ting Zhong 798 1.4× 331 1.2× 131 0.5× 465 2.3× 188 1.2× 99 1.6k
Fengli Xu 435 0.7× 189 0.7× 320 1.3× 634 3.1× 143 0.9× 70 1.6k
Yong Ge 639 1.1× 540 1.9× 175 0.7× 167 0.8× 186 1.2× 63 1.6k
Yang Zhang 868 1.5× 244 0.9× 127 0.5× 150 0.7× 120 0.8× 101 1.5k
Wen-Chih Peng 249 0.4× 203 0.7× 324 1.3× 258 1.3× 209 1.3× 70 1.3k
Li Kuang 433 0.7× 416 1.5× 205 0.8× 152 0.7× 98 0.6× 99 1.3k

Countries citing papers authored by Einat Minkov

Since Specialization
Citations

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

Fields of papers citing papers by Einat Minkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Einat Minkov. 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 Einat Minkov. The network helps show where Einat Minkov may publish in the future.

Co-authorship network of co-authors of Einat Minkov

This figure shows the co-authorship network connecting the top 25 collaborators of Einat Minkov. A scholar is included among the top collaborators of Einat Minkov 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 Einat Minkov. Einat Minkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026