Lyudmyla Sakhno

36 papers and 286 indexed citations i.

About

Lyudmyla Sakhno is a scholar working on Finance, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Lyudmyla Sakhno has authored 36 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Finance, 8 papers in Statistics and Probability and 8 papers in Mathematical Physics. Recurrent topics in Lyudmyla Sakhno’s work include Financial Risk and Volatility Modeling (14 papers), Stochastic processes and financial applications (11 papers) and Analysis of environmental and stochastic processes (7 papers). Lyudmyla Sakhno is often cited by papers focused on Financial Risk and Volatility Modeling (14 papers), Stochastic processes and financial applications (11 papers) and Analysis of environmental and stochastic processes (7 papers). Lyudmyla Sakhno collaborates with scholars based in Ukraine, United Kingdom and Australia. Lyudmyla Sakhno's co-authors include Nikolai Leonenko, Vo Anh, Enzo Orsingher, Florin Avram, Luisa Beghin, Federico Polito, Yuriy Kozachenko, Alessandro De Gregorio, Emanuele Taufer and Nikolaos Limnios and has published in prestigious journals such as Journal of Statistical Physics, Journal of Multivariate Analysis and Journal of Applied Probability.

In The Last Decade

Co-authorship network of co-authors of Lyudmyla Sakhno i

Fields of papers citing papers by Lyudmyla Sakhno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lyudmyla Sakhno

Since Specialization
Citations

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