В. А. Лапко

78 papers and 275 indexed citations i.

About

В. А. Лапко is a scholar working on Statistics and Probability, Artificial Intelligence and Information Systems. According to data from OpenAlex, В. А. Лапко has authored 78 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Statistics and Probability, 34 papers in Artificial Intelligence and 24 papers in Information Systems. Recurrent topics in В. А. Лапко’s work include Advanced Statistical Methods and Models (34 papers), Statistical Methods and Inference (27 papers) and Statistical and Computational Modeling (24 papers). В. А. Лапко is often cited by papers focused on Advanced Statistical Methods and Models (34 papers), Statistical Methods and Inference (27 papers) and Statistical and Computational Modeling (24 papers). В. А. Лапко collaborates with scholars based in Russia and Ukraine. В. А. Лапко's co-authors include А. V. Lapko and Sergei T. Im and has published in prestigious journals such as Computer Optics, Cybernetics and Systems Analysis and Pattern Recognition and Image Analysis.

In The Last Decade

Co-authorship network of co-authors of В. А. Лапко i

Fields of papers citing papers by В. А. Лапко

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by В. А. Лапко. 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 В. А. Лапко. The network helps show where В. А. Лапко may publish in the future.

Countries citing papers authored by В. А. Лапко

Since Specialization
Citations

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