Konstantin Voevodski

10 papers and 138 indexed citations i.

About

Konstantin Voevodski is a scholar working on Molecular Biology, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Konstantin Voevodski has authored 10 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Konstantin Voevodski’s work include Algorithms and Data Compression (4 papers), Advanced Clustering Algorithms Research (3 papers) and Bioinformatics and Genomic Networks (3 papers). Konstantin Voevodski is often cited by papers focused on Algorithms and Data Compression (4 papers), Advanced Clustering Algorithms Research (3 papers) and Bioinformatics and Genomic Networks (3 papers). Konstantin Voevodski collaborates with scholars based in United States, The Netherlands and Germany. Konstantin Voevodski's co-authors include Shang‐Hua Teng, Yu Xia, Maria Florina Balcan, Pranjal Awasthi, Heiko Röglin, Maria-Florina Balcan, Kevin Robert Canini, Andrew Cotter, Maya R. Gupta and Zornitsa Kozareva and has published in prestigious journals such as BMC Bioinformatics, Journal of Machine Learning Research and BMC Systems Biology.

In The Last Decade

Co-authorship network of co-authors of Konstantin Voevodski i

Fields of papers citing papers by Konstantin Voevodski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Konstantin Voevodski

Since Specialization
Citations

This map shows the geographic impact of Konstantin Voevodski'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 Konstantin Voevodski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konstantin Voevodski 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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2025