Yoelle Maarek

122 total papers · 4.3k total citations
86 papers, 2.1k citations indexed

About

Yoelle Maarek is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Yoelle Maarek has authored 86 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Information Systems, 43 papers in Artificial Intelligence and 20 papers in Computer Networks and Communications. Recurrent topics in Yoelle Maarek's work include Web Data Mining and Analysis (30 papers), Information Retrieval and Search Behavior (15 papers) and Advanced Database Systems and Queries (14 papers). Yoelle Maarek is often cited by papers focused on Web Data Mining and Analysis (30 papers), Information Retrieval and Search Behavior (15 papers) and Advanced Database Systems and Queries (14 papers). Yoelle Maarek collaborates with scholars based in Israel, United States and United Kingdom. Yoelle Maarek's co-authors include Daniel M. Berry, Gail E. Kaiser, Idan Szpektor, David Carmel, Dan Pelleg, Aya Soffer, Michal Jacovi, Gideon Dror, Sigalit Ur and Michael Herscovici and has published in prestigious journals such as IEEE Transactions on Software Engineering, Computer Networks and International Journal of Human-Computer Studies.

In The Last Decade

Yoelle Maarek

82 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Yoelle Maarek 1.6k 1.1k 516 389 271 86 2.1k
Anish Das Sarma 839 0.5× 1.1k 1.0× 1.0k 2.0× 754 1.9× 198 0.7× 47 2.2k
Hailong Sun 1.7k 1.1× 772 0.7× 948 1.8× 275 0.7× 236 0.9× 159 2.3k
Nicholas Kushmerick 1.7k 1.1× 1.6k 1.5× 731 1.4× 312 0.8× 51 0.2× 52 2.5k
Brad Miller 2.1k 1.4× 923 0.8× 598 1.2× 424 1.1× 292 1.1× 35 2.8k
Marta Sabou 939 0.6× 1.4k 1.3× 297 0.6× 119 0.3× 121 0.4× 113 1.9k
Alberto H. F. Laender 1.3k 0.9× 1.4k 1.3× 632 1.2× 433 1.1× 72 0.3× 164 2.6k
Chunyang Chen 1.3k 0.8× 643 0.6× 289 0.6× 492 1.3× 252 0.9× 112 2.2k
Helen Ashman 617 0.4× 653 0.6× 350 0.7× 187 0.5× 170 0.6× 83 1.5k
Siegfried Handschuh 1.2k 0.7× 1.9k 1.7× 381 0.7× 140 0.4× 91 0.3× 144 2.4k
Aditya Parameswaran 738 0.5× 1.6k 1.5× 619 1.2× 635 1.6× 1.1k 3.9× 111 3.0k

Countries citing papers authored by Yoelle Maarek

Since Specialization
Citations

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

Fields of papers citing papers by Yoelle Maarek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoelle Maarek

This figure shows the co-authorship network connecting the top 25 collaborators of Yoelle Maarek. A scholar is included among the top collaborators of Yoelle Maarek 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 Yoelle Maarek. Yoelle Maarek 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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