Eliav Buchnik

3 papers and 3 indexed citations i.

About

Eliav Buchnik is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Eliav Buchnik has authored 3 papers receiving a total of 3 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Computational Theory and Mathematics. Recurrent topics in Eliav Buchnik’s work include Advanced Graph Neural Networks (1 paper), Biotin and Related Studies (1 paper) and Combinatorial Optimization and Complexity Theory (1 paper). Eliav Buchnik is often cited by papers focused on Advanced Graph Neural Networks (1 paper), Biotin and Related Studies (1 paper) and Combinatorial Optimization and Complexity Theory (1 paper). Eliav Buchnik collaborates with scholars based in United States and Israel. Eliav Buchnik's co-authors include Edith Cohen, Ori Rottenstreich, Jack Haddad, Dotan Emanuel and Avinatan Hassidim and has published in prestigious journals such as ACM SIGMETRICS Performance Evaluation Review and 2022 European Control Conference (ECC).

In The Last Decade

Co-authorship network of co-authors of Eliav Buchnik i

Fields of papers citing papers by Eliav Buchnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eliav Buchnik

Since Specialization
Citations

This map shows the geographic impact of Eliav Buchnik'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 Eliav Buchnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eliav Buchnik 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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2025