Pavel Kucherbaev

9 papers and 368 indexed citations i.

About

Pavel Kucherbaev is a scholar working on Computer Science Applications, Management Science and Operations Research and Information Systems and Management. According to data from OpenAlex, Pavel Kucherbaev has authored 9 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Science Applications, 4 papers in Management Science and Operations Research and 3 papers in Information Systems and Management. Recurrent topics in Pavel Kucherbaev’s work include Mobile Crowdsensing and Crowdsourcing (7 papers), Open Source Software Innovations (5 papers) and Auction Theory and Applications (4 papers). Pavel Kucherbaev is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (7 papers), Open Source Software Innovations (5 papers) and Auction Theory and Applications (4 papers). Pavel Kucherbaev collaborates with scholars based in Italy, The Netherlands and Australia. Pavel Kucherbaev's co-authors include Florian Daniel, Cinzia Cappiello, Mohammad Allahbakhsh, Boualem Benatallah, Alessandro Bozzon, Geert‐Jan Houben, Stefano Tranquillini, Maurizio Marchese, Fabio Casati and Achilleas Psyllidis and has published in prestigious journals such as ACM Computing Surveys, IEEE Internet Computing and ACM Transactions on the Web.

In The Last Decade

Co-authorship network of co-authors of Pavel Kucherbaev i

Fields of papers citing papers by Pavel Kucherbaev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pavel Kucherbaev

Since Specialization
Citations

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