Irina Rish

55 papers and 1.2k indexed citations i.

About

Irina Rish is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Irina Rish has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 14 papers in Cognitive Neuroscience and 12 papers in Computer Networks and Communications. Recurrent topics in Irina Rish’s work include Bayesian Modeling and Causal Inference (12 papers), Functional Brain Connectivity Studies (10 papers) and Machine Learning and Algorithms (7 papers). Irina Rish is often cited by papers focused on Bayesian Modeling and Causal Inference (12 papers), Functional Brain Connectivity Studies (10 papers) and Machine Learning and Algorithms (7 papers). Irina Rish collaborates with scholars based in United States, Canada and Italy. Irina Rish's co-authors include Genady Ya. Grabarnik, Rina Dechter, Guillermo Cecchi, Alina Beygelzimer, G. Grinstein, Ralph Linsker, Djallel Bouneffouf, Michael C. Carroll, Rahul Garg and Marc Brodie and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Irina Rish i

Fields of papers citing papers by Irina Rish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Irina Rish

Since Specialization
Citations

This map shows the geographic impact of Irina Rish'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 Irina Rish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina Rish 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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2025