Volodymyr Melnykov

35 papers and 655 indexed citations i.

About

Volodymyr Melnykov is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing. According to data from OpenAlex, Volodymyr Melnykov has authored 35 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 13 papers in Statistics and Probability and 10 papers in Signal Processing. Recurrent topics in Volodymyr Melnykov’s work include Bayesian Methods and Mixture Models (32 papers), Advanced Clustering Algorithms Research (17 papers) and Statistical Methods and Bayesian Inference (7 papers). Volodymyr Melnykov is often cited by papers focused on Bayesian Methods and Mixture Models (32 papers), Advanced Clustering Algorithms Research (17 papers) and Statistical Methods and Bayesian Inference (7 papers). Volodymyr Melnykov collaborates with scholars based in United States and Italy. Volodymyr Melnykov's co-authors include Ranjan Maitra, Soumendra N. Lahiri, Salvatore Ingrassia, Yang Wang, Yang Wang, Dan Nettleton, Domenico Perrotta, Yan Wang and Marco Riani and has published in prestigious journals such as Journal of the American Statistical Association, Pattern Recognition and Journal of Statistical Software.

In The Last Decade

Co-authorship network of co-authors of Volodymyr Melnykov i

Fields of papers citing papers by Volodymyr Melnykov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Volodymyr Melnykov

Since Specialization
Citations

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