Irina Gaynanova

33 papers and 336 indexed citations i.

About

Irina Gaynanova is a scholar working on Molecular Biology, Computational Mechanics and Statistics and Probability. According to data from OpenAlex, Irina Gaynanova has authored 33 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Computational Mechanics and 10 papers in Statistics and Probability. Recurrent topics in Irina Gaynanova’s work include Sparse and Compressive Sensing Techniques (10 papers), Statistical Methods and Inference (10 papers) and Diabetes Management and Research (6 papers). Irina Gaynanova is often cited by papers focused on Sparse and Compressive Sensing Techniques (10 papers), Statistical Methods and Inference (10 papers) and Diabetes Management and Research (6 papers). Irina Gaynanova collaborates with scholars based in United States and Germany. Irina Gaynanova's co-authors include Gen Li, Grace Yoon, Christian L. Müller, Naresh M. Punjabi, Johannes Lederer, Raymond J. Carroll, D. S. Buchanan, Yunfeng Zhang, Jacek Urbanek and John Muschelli and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Biometrics.

In The Last Decade

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

Fields of papers citing papers by Irina Gaynanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Irina Gaynanova

Since Specialization
Citations

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