Andrea Kulakov

80 total papers · 864 total citations
44 papers, 434 citations indexed

About

Andrea Kulakov is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Andrea Kulakov has authored 44 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 7 papers in Computational Theory and Mathematics. Recurrent topics in Andrea Kulakov's work include Neural Networks and Applications (11 papers), Fuzzy Logic and Control Systems (8 papers) and Machine Learning in Bioinformatics (6 papers). Andrea Kulakov is often cited by papers focused on Neural Networks and Applications (11 papers), Fuzzy Logic and Control Systems (8 papers) and Machine Learning in Bioinformatics (6 papers). Andrea Kulakov collaborates with scholars based in North Macedonia, France and United States. Andrea Kulakov's co-authors include Petre Lameski, Eftim Zdravevski, Danco Davčev, Vladimir Trajkovik, Nuno M. García, Nuno Pombo, Ivan Chorbev, Rossitza Goleva, Goran Trajkovski and Dejan Gjorgjevikj and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Structural Biology.

In The Last Decade

Andrea Kulakov

39 papers receiving 409 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andrea Kulakov 165 137 134 73 69 44 434
Noha A. Hikal 165 1.0× 117 0.9× 139 1.0× 81 1.1× 39 0.6× 33 464
Bhabani Shankar Prasad Mishra 92 0.6× 91 0.7× 121 0.9× 48 0.7× 58 0.8× 66 450
Raihan Ul Islam 99 0.6× 144 1.1× 157 1.2× 52 0.7× 37 0.5× 42 487
A. Balaji Ganesh 78 0.5× 150 1.1× 52 0.4× 118 1.6× 87 1.3× 53 449
Mohammad Mozumdar 190 1.2× 40 0.3× 86 0.6× 81 1.1× 66 1.0× 36 414
Enrique de la Cal 71 0.4× 172 1.3× 128 1.0× 43 0.6× 127 1.8× 38 421
A. Harshavardhan 80 0.5× 62 0.5× 112 0.8× 55 0.8× 75 1.1× 33 391
Radwa Marzouk 79 0.5× 129 0.9× 133 1.0× 56 0.8× 28 0.4× 57 449
Zhenhua Jia 126 0.8× 163 1.2× 49 0.4× 97 1.3× 147 2.1× 29 456
Allah Ditta 135 0.8× 108 0.8× 160 1.2× 73 1.0× 23 0.3× 37 459

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).

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.

Co-authorship network of co-authors of Andrea Kulakov

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Kulakov. A scholar is included among the top collaborators of Andrea Kulakov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrea Kulakov. Andrea Kulakov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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