Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average within
it), or reaches the top citation threshold in at least one of its specific research topics.
5th International Conference on Learning Representations (ICLR 17)
Countries citing papers authored by Serhii Havrylov
Since Specialization
Citations
This map shows the geographic impact of Serhii Havrylov'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 Serhii Havrylov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serhii Havrylov more than expected).
This network shows the impact of papers produced by Serhii Havrylov. 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 Serhii Havrylov. The network helps show where Serhii Havrylov may publish in the future.
Co-authorship network of co-authors of Serhii Havrylov
This figure shows the co-authorship network connecting the top 25 collaborators of Serhii Havrylov.
A scholar is included among the top collaborators of Serhii Havrylov 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 Serhii Havrylov. Serhii Havrylov is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Serhii Havrylov is a scholar working on Artificial Intelligence, Ocean Engineering and Mechanical Engineering, having authored 6 papers that have together received 2.4k indexed citations. Recurring topics across this work include Electric Power Systems and Control (2 papers), Topic Modeling (2 papers) and Industrial Engineering and Technologies (2 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Computer Vision and Pattern Recognition (803 citations) and Signal Processing (229 citations). Serhii Havrylov has collaborated with scholars based in Ukraine, United Kingdom and Netherlands. Frequent co-authors include Armand Joulin, Germán Kruszewski, Shay B. Cohen, Zhifeng Hu, Ivan Titov, Emine Yılmaz and Giorgio Giannone. Their work appears in journals such as UvA-DARE (University of Amsterdam), InterConf and ГРААЛЬ НАУКИ.
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.