Yulia R. Gel

92 papers and 2.6k indexed citations i.

About

Yulia R. Gel is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Statistics and Probability. According to data from OpenAlex, Yulia R. Gel has authored 92 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 19 papers in Statistical and Nonlinear Physics and 18 papers in Statistics and Probability. Recurrent topics in Yulia R. Gel’s work include Complex Network Analysis Techniques (18 papers), Topological and Geometric Data Analysis (12 papers) and Advanced Statistical Methods and Models (11 papers). Yulia R. Gel is often cited by papers focused on Complex Network Analysis Techniques (18 papers), Topological and Geometric Data Analysis (12 papers) and Advanced Statistical Methods and Models (11 papers). Yulia R. Gel collaborates with scholars based in United States, Canada and Russia. Yulia R. Gel's co-authors include Kimihiro Noguchi, Edgar Brunner, Frank Konietschke, Joseph L. Gastwirth, Weiwen Miao, Vyacheslav Lyubchich, Murat Kantarcıoǧlu, Mehdi Jalalpour, Scott Levin and Asim Kumer Dey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of the American Statistical Association.

In The Last Decade

Co-authorship network of co-authors of Yulia R. Gel i

Fields of papers citing papers by Yulia R. Gel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yulia R. Gel. 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 Yulia R. Gel. The network helps show where Yulia R. Gel may publish in the future.

Countries citing papers authored by Yulia R. Gel

Since Specialization
Citations

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