Yulia Ledeneva

23 papers and 114 indexed citations i.

About

Yulia Ledeneva is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Yulia Ledeneva has authored 23 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Yulia Ledeneva’s work include Advanced Text Analysis Techniques (17 papers), Topic Modeling (16 papers) and Natural Language Processing Techniques (11 papers). Yulia Ledeneva is often cited by papers focused on Advanced Text Analysis Techniques (17 papers), Topic Modeling (16 papers) and Natural Language Processing Techniques (11 papers). Yulia Ledeneva collaborates with scholars based in Mexico. Yulia Ledeneva's co-authors include René Arnulfo García-Hernández, Carlos Gutiérrez, Sergio Díaz and Ricardo Guerrero‐Lemus and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Journal of Intelligent & Fuzzy Systems.

In The Last Decade

Co-authorship network of co-authors of Yulia Ledeneva i

Fields of papers citing papers by Yulia Ledeneva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yulia Ledeneva

Since Specialization
Citations

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