M. Borisyak

16.8k total citations
7 papers, 43 citations indexed

About

M. Borisyak is a scholar working on Artificial Intelligence, Computer Networks and Communications and Biophysics. According to data from OpenAlex, M. Borisyak has authored 7 papers receiving a total of 43 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Biophysics. Recurrent topics in M. Borisyak's work include Anomaly Detection Techniques and Applications (2 papers), Network Security and Intrusion Detection (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). M. Borisyak is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), Network Security and Intrusion Detection (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). M. Borisyak collaborates with scholars based in Germany, Russia and Argentina. M. Borisyak's co-authors include Peter Neubauer, Mariano Nicolás Cruz Bournazou, Ernesto Martínez, Jong Woo Kim, Nghia Duong‐Trung, Lars Schmidt-Thieme, A. Ustyuzhanin, Katharina Paulick, A. Ryzhikov and N. Kazeev and has published in prestigious journals such as Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Computers & Chemical Engineering and Biochemical Engineering Journal.

In The Last Decade

M. Borisyak

6 papers receiving 41 citations

Peers

M. Borisyak
Wanqi Li China
A. Fahim Iran
Cristina González Colombia
Evgenia Papavasileiou Belgium
Kaivan Kamali United States
Ping Yi China
Piotr Przymus Poland
Lavender Yao Jiang United States
Tomasz Szepieniec Poland
Wanqi Li China
M. Borisyak
Citations per year, relative to M. Borisyak M. Borisyak (= 1×) peers Wanqi Li

Countries citing papers authored by M. Borisyak

Since Specialization
Citations

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

Fields of papers citing papers by M. Borisyak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Borisyak

This figure shows the co-authorship network connecting the top 25 collaborators of M. Borisyak. A scholar is included among the top collaborators of M. Borisyak 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 M. Borisyak. M. Borisyak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Lange, Catherine, et al.. (2025). Comparing machine learning methods on Raman spectra from eight different spectrometers. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 334. 125861–125861. 3 indexed citations
2.
Luna, Martin F., et al.. (2024). A workflow management system for reproducible and interoperable high-throughput self-driving experiments. Computers & Chemical Engineering. 187. 108720–108720. 4 indexed citations
3.
Duong‐Trung, Nghia, Jong Woo Kim, Katharina Paulick, et al.. (2022). When bioprocess engineering meets machine learning: A survey from the perspective of automated bioprocess development. Biochemical Engineering Journal. 190. 108764–108764. 25 indexed citations
4.
Ryzhikov, A., et al.. (2021). NFAD: fixing anomaly detection using normalizing flows. PeerJ Computer Science. 7. e757–e757. 8 indexed citations
5.
Borisyak, M., et al.. (2020). (1 + epsilon)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets. arXiv (Cornell University). 21(72). 1–22. 2 indexed citations
6.
Borisyak, M., et al.. (2020). Adaptive divergence for rapid adversarial optimization. PeerJ Computer Science. 6. e274–e274.
7.
Borisyak, M. & N. Kazeev. (2020). Machine Learning on sWeighted data. Journal of Physics Conference Series. 1525(1). 12088–12088. 1 indexed citations

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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2026