Veselka Boeva

About

Veselka Boeva is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Veselka Boeva has authored 43 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 9 papers in Information Systems and 8 papers in Computational Theory and Mathematics. Recurrent topics in Veselka Boeva’s work include Time Series Analysis and Forecasting (8 papers), Advanced Clustering Algorithms Research (6 papers) and Adaptation to Concept Drift in Data Streams (6 papers). Veselka Boeva is often cited by papers focused on Time Series Analysis and Forecasting (8 papers), Advanced Clustering Algorithms Research (6 papers) and Adaptation to Concept Drift in Data Streams (6 papers). Veselka Boeva collaborates with scholars based in Sweden, Belgium and Bulgaria. Veselka Boeva's co-authors include Elena Tsiporkova, Håkan Grahn, Niklas Lavesson, Emiliano Casalicchio, Bernard De Baets, Martin Boldt, Anton Borg, Eva García-Martín, Emilia Motoasca and Jörgen Gustafsson and has published in prestigious journals such as Bioinformatics, Energy and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Veselka Boeva i

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Fields of papers citing papers by Veselka Boeva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Veselka Boeva

Since Specialization

Citations

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