Pavel Panchekha

About

Pavel Panchekha is a scholar working on Artificial Intelligence, Hardware and Architecture and Computational Theory and Mathematics. According to data from OpenAlex, Pavel Panchekha has authored 17 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Hardware and Architecture and 6 papers in Computational Theory and Mathematics. Recurrent topics in Pavel Panchekha’s work include Parallel Computing and Optimization Techniques (8 papers), Logic, programming, and type systems (5 papers) and Software Testing and Debugging Techniques (5 papers). Pavel Panchekha is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Logic, programming, and type systems (5 papers) and Software Testing and Debugging Techniques (5 papers). Pavel Panchekha collaborates with scholars based in United States and United Kingdom. Pavel Panchekha's co-authors include Zachary Tatlock, Chandrakana Nandi, Dan Grossman, Max Willsey, James R. Wilcox, Emina Torlak, Kathryn S. McKinley, Luís Ceze, Adrian Sampson and Todd Mytkowicz and has published in prestigious journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages and ResearchWorks at the University of Washington (University of Washington).

In The Last Decade

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

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Fields of papers citing papers by Pavel Panchekha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pavel Panchekha

Since Specialization

Citations

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