Lyudmila Sukhostat

20 papers and 542 indexed citations i.

About

Lyudmila Sukhostat is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Lyudmila Sukhostat has authored 20 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 7 papers in Control and Systems Engineering. Recurrent topics in Lyudmila Sukhostat’s work include Anomaly Detection Techniques and Applications (7 papers), Network Security and Intrusion Detection (6 papers) and Advanced Clustering Algorithms Research (4 papers). Lyudmila Sukhostat is often cited by papers focused on Anomaly Detection Techniques and Applications (7 papers), Network Security and Intrusion Detection (6 papers) and Advanced Clustering Algorithms Research (4 papers). Lyudmila Sukhostat collaborates with scholars based in Azerbaijan. Lyudmila Sukhostat's co-authors include Yadigar İmamverdiyev, Rasim Alguliyev and Ramiz M. Aliguliyev and has published in prestigious journals such as Expert Systems with Applications, Computers & Industrial Engineering and Journal of Petroleum Science and Engineering.

In The Last Decade

Co-authorship network of co-authors of Lyudmila Sukhostat i

Fields of papers citing papers by Lyudmila Sukhostat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lyudmila Sukhostat

Since Specialization
Citations

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