Vladimir Soroka

About

Vladimir Soroka is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Vladimir Soroka has authored 5 papers receiving a total of 53 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Vladimir Soroka’s work include Web Data Mining and Analysis (2 papers), Complex Network Analysis Techniques (2 papers) and Advanced Clustering Algorithms Research (2 papers). Vladimir Soroka is often cited by papers focused on Web Data Mining and Analysis (2 papers), Complex Network Analysis Techniques (2 papers) and Advanced Clustering Algorithms Research (2 papers). Vladimir Soroka collaborates with scholars based in Israel and United States. Vladimir Soroka's co-authors include Yoelle Maarek, Michal Jacovi, Ido Guy, Ziv Bar-Yossef, Ronny Lempel, Doron Cohen, Dan Pelleg, Sigalit Ur, Michael Herscovici and Israel Ben‐Shaul and has published in prestigious journals such as International Journal of Human-Computer Studies, Computer Networks and Knowledge and Information Systems.

In The Last Decade

Co-authorship network of co-authors of Vladimir Soroka i

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Fields of papers citing papers by Vladimir Soroka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vladimir Soroka

Since Specialization

Citations

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