Merav Parter

47 papers and 424 indexed citations i.

About

Merav Parter is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Merav Parter has authored 47 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Networks and Communications, 32 papers in Computational Theory and Mathematics and 13 papers in Artificial Intelligence. Recurrent topics in Merav Parter’s work include Combinatorial Optimization and Complexity Theory (30 papers), Advanced Graph Theory Research (18 papers) and Optimization and Search Problems (13 papers). Merav Parter is often cited by papers focused on Combinatorial Optimization and Complexity Theory (30 papers), Advanced Graph Theory Research (18 papers) and Optimization and Search Problems (13 papers). Merav Parter collaborates with scholars based in Israel, United States and United Kingdom. Merav Parter's co-authors include Nadav Kashtan, Uri Alon, Uri Alon, David Peleg, Artur Czumaj, Peter Maxwell Davies, E. Dekel, Avi Mayo, Zvi Lotker and Jason Li and has published in prestigious journals such as Evolution, PLoS Computational Biology and Journal of the ACM.

In The Last Decade

Co-authorship network of co-authors of Merav Parter i

Fields of papers citing papers by Merav Parter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Merav Parter

Since Specialization
Citations

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