Ofer Meshi

About

Ofer Meshi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Ofer Meshi has authored 17 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Management Science and Operations Research. Recurrent topics in Ofer Meshi’s work include Machine Learning and Algorithms (8 papers), Machine Learning and Data Classification (6 papers) and Error Correcting Code Techniques (4 papers). Ofer Meshi is often cited by papers focused on Machine Learning and Algorithms (8 papers), Machine Learning and Data Classification (6 papers) and Error Correcting Code Techniques (4 papers). Ofer Meshi collaborates with scholars based in United States, Israel and Canada. Ofer Meshi's co-authors include Amir Globerson, Tommi Jaakkola, Tomer Shlomi, Eytan Ruppin, David Sontag, Ariel Jaimovich, Nir Friedman, Alexander G. Schwing, Mehrdad Mahdavi and Daniel Tarlow and has published in prestigious journals such as Journal of Machine Learning Research, BMC Systems Biology and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Ofer Meshi i

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Fields of papers citing papers by Ofer Meshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ofer Meshi

Since Specialization

Citations

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