This map shows the geographic impact of Zeev Dvir'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 Zeev Dvir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeev Dvir more than expected).
This network shows the impact of papers produced by Zeev Dvir. 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 Zeev Dvir. The network helps show where Zeev Dvir may publish in the future.
Co-authorship network of co-authors of Zeev Dvir
This figure shows the co-authorship network connecting the top 25 collaborators of Zeev Dvir.
A scholar is included among the top collaborators of Zeev Dvir based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Zeev Dvir. Zeev Dvir is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bogdanov, Andrej, Zeev Dvir, Elad Verbin, & Amir Yehudayoff. (2013). . Theory of Computing. 9(1). 283–293.12 indexed citations
11.
Barak, Boaz, Zeev Dvir, Avi Wigderson, & Amir Yehudayoff. (2012). Fractional Sylvester–Gallai theorems. Proceedings of the National Academy of Sciences. 110(48). 19213–19219.11 indexed citations
12.
Dvir, Zeev & Amir Shpilka. (2011). . Theory of Computing. 7(1). 1–18.4 indexed citations
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.