Nir Friedman

186 papers and 27.0k indexed citations i.

About

Nir Friedman is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Nir Friedman has authored 186 papers receiving a total of 27.0k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 62 papers in Artificial Intelligence and 14 papers in Plant Science. Recurrent topics in Nir Friedman’s work include Bayesian Modeling and Causal Inference (46 papers), Genomics and Chromatin Dynamics (26 papers) and Gene Regulatory Network Analysis (25 papers). Nir Friedman is often cited by papers focused on Bayesian Modeling and Causal Inference (46 papers), Genomics and Chromatin Dynamics (26 papers) and Gene Regulatory Network Analysis (25 papers). Nir Friedman collaborates with scholars based in Israel, United States and Germany. Nir Friedman's co-authors include Daniel L. Koller, Moisés Goldszmidt, Aviv Regev, Dan Geiger, Daphne Koller, Dana Pe’er, Iftach Nachman, Michal Linial, Long Cai and Oliver J. Rando and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Co-authorship network of co-authors of Nir Friedman i

Fields of papers citing papers by Nir Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nir Friedman

Since Specialization
Citations

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