Andrea Kulakov

About

Andrea Kulakov is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Andrea Kulakov has authored 17 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 3 papers in Information Systems. Recurrent topics in Andrea Kulakov’s work include Data Mining Algorithms and Applications (3 papers), Neural Networks and Applications (2 papers) and Computability, Logic, AI Algorithms (2 papers). Andrea Kulakov is often cited by papers focused on Data Mining Algorithms and Applications (3 papers), Neural Networks and Applications (2 papers) and Computability, Logic, AI Algorithms (2 papers). Andrea Kulakov collaborates with scholars based in North Macedonia, France and United States. Andrea Kulakov's co-authors include Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Nuno M. García, Rossitza Goleva, Ivan Chorbev, Nuno Pombo, Dejan Gjorgjevikj, Slobodan Kalajdziski and Sonja Filiposka and has published in prestigious journals such as IEEE Access, Journal of Structural Biology and New Ideas in Psychology.

In The Last Decade

Co-authorship network of co-authors of Andrea Kulakov i

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Fields of papers citing papers by Andrea Kulakov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrea Kulakov

Since Specialization

Citations

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