Robert Farber

About

Robert Farber is a scholar working on Molecular Biology, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Robert Farber has authored 12 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Robert Farber’s work include Machine Learning in Bioinformatics (4 papers), Protein Structure and Dynamics (3 papers) and Enzyme Structure and Function (2 papers). Robert Farber is often cited by papers focused on Machine Learning in Bioinformatics (4 papers), Protein Structure and Dynamics (3 papers) and Enzyme Structure and Function (2 papers). Robert Farber collaborates with scholars based in United States, Canada and Austria. Robert Farber's co-authors include Alan S. Lapedes, Karl Sirotkin, John M. Dealy, Peter F. Stadler, Ivo L. Hofacker, Erin Munkácsy, Shane L. Rea, Christian Burks and Cris W. Barnes and has published in prestigious journals such as Journal of Molecular Biology, Journal of Theoretical Biology and Physica D Nonlinear Phenomena.

In The Last Decade

Co-authorship network of co-authors of Robert Farber i

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Fields of papers citing papers by Robert Farber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Robert Farber

Since Specialization

Citations

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