Yoelle Maarek

40 papers and 604 indexed citations i.

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 40 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Information Systems, 23 papers in Artificial Intelligence and 9 papers in Computer Networks and Communications. Recurrent topics in Yoelle Maarek’s work include Web Data Mining and Analysis (16 papers), Semantic Web and Ontologies (7 papers) and Mobile Crowdsensing and Crowdsourcing (6 papers). Yoelle Maarek is often cited by papers focused on Web Data Mining and Analysis (16 papers), Semantic Web and Ontologies (7 papers) and Mobile Crowdsensing and Crowdsourcing (6 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, Dan Pelleg, Michal Jacovi, Sigalit Ur, Ricardo Baeza‐Yates, Aya Soffer, Israel Ben‐Shaul, Vladimir Soroka and David Carmel and has published in prestigious journals such as IEEE Transactions on Software Engineering, International Journal of Human-Computer Studies and Computer Networks.

In The Last Decade

Co-authorship network of co-authors of Yoelle Maarek i

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.

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).

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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2025