Michal Jacovi

18 papers and 284 indexed citations i.

About

Michal Jacovi is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Michal Jacovi has authored 18 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Information Systems and 4 papers in Sociology and Political Science. Recurrent topics in Michal Jacovi’s work include Topic Modeling (5 papers), Web Data Mining and Analysis (4 papers) and Complex Network Analysis Techniques (3 papers). Michal Jacovi is often cited by papers focused on Topic Modeling (5 papers), Web Data Mining and Analysis (4 papers) and Complex Network Analysis Techniques (3 papers). Michal Jacovi collaborates with scholars based in Israel, United States and France. Michal Jacovi's co-authors include Yoelle Maarek, Sigalit Ur, Dan Pelleg, Erel Uziel, Inbal Ronen, Israel Ben‐Shaul, Ido Guy, Adam Perer, Ranit Aharonov and Noam Slonim and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, International Journal of Human-Computer Studies and Computer Networks.

In The Last Decade

Co-authorship network of co-authors of Michal Jacovi i

Fields of papers citing papers by Michal Jacovi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michal Jacovi

Since Specialization
Citations

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