Jaroslav Ševčík

About

Jaroslav Ševčík is a scholar working on Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Jaroslav Ševčík has authored 4 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Hardware and Architecture. Recurrent topics in Jaroslav Ševčík’s work include Parallel Computing and Optimization Techniques (3 papers), Distributed systems and fault tolerance (3 papers) and Logic, programming, and type systems (3 papers). Jaroslav Ševčík is often cited by papers focused on Parallel Computing and Optimization Techniques (3 papers), Distributed systems and fault tolerance (3 papers) and Logic, programming, and type systems (3 papers). Jaroslav Ševčík collaborates with scholars based in United Kingdom, United States and Germany. Jaroslav Ševčík's co-authors include Suresh Jagannathan, Francesco Zappa Nardelli, Viktor Vafeiadis and Peter Sewell and has published in prestigious journals such as Journal of the ACM, ACM SIGPLAN Notices and Electronic Notes in Theoretical Computer Science.

In The Last Decade

Co-authorship network of co-authors of Jaroslav Ševčík i

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Fields of papers citing papers by Jaroslav Ševčík

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jaroslav Ševčík

Since Specialization

Citations

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