Martin Vechev

90 papers and 2.1k indexed citations i.

About

Martin Vechev is a scholar working on Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Martin Vechev has authored 90 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 31 papers in Computer Networks and Communications and 28 papers in Hardware and Architecture. Recurrent topics in Martin Vechev’s work include Parallel Computing and Optimization Techniques (26 papers), Distributed systems and fault tolerance (23 papers) and Adversarial Robustness in Machine Learning (17 papers). Martin Vechev is often cited by papers focused on Parallel Computing and Optimization Techniques (26 papers), Distributed systems and fault tolerance (23 papers) and Adversarial Robustness in Machine Learning (17 papers). Martin Vechev collaborates with scholars based in Switzerland, United States and Israel. Martin Vechev's co-authors include Petar Tsankov, Timon Gehr, Dana Drachsler-Cohen, Veselin Raychev, Matthew Mirman, Gagandeep Singh, Markus Püschel, Eran Yahav, Andrei Dan and Arthur Gervais and has published in prestigious journals such as Communications of the ACM, ACM SIGPLAN Notices and ACM Transactions on Software Engineering and Methodology.

In The Last Decade

Co-authorship network of co-authors of Martin Vechev i

Fields of papers citing papers by Martin Vechev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Vechev

Since Specialization
Citations

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