Maksym Andriushchenko

1.2k total citations
9 papers, 122 citations indexed

About

Maksym Andriushchenko is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Maksym Andriushchenko has authored 9 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Control and Systems Engineering. Recurrent topics in Maksym Andriushchenko's work include Adversarial Robustness in Machine Learning (5 papers), Anomaly Detection Techniques and Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Maksym Andriushchenko is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Anomaly Detection Techniques and Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Maksym Andriushchenko collaborates with scholars based in Germany, Switzerland and United Kingdom. Maksym Andriushchenko's co-authors include Matthias Hein, Francesco Croce, Nicolas Flammarion, Dietrich Klakow, Marius Mosbach, Vikash Sehwag, Florian Tramèr, Hamed Hassani, Dan Hendrycks and George J. Pappas and has published in prestigious journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne), arXiv (Cornell University) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Maksym Andriushchenko

7 papers receiving 121 citations

Peers

Maksym Andriushchenko
Comparison fields: 5 of 28
  • Artificial Intelligence 111
  • Computer Vision and Pattern Recognition 33
  • Molecular Biology 21
  • Electrical and Electronic Engineering 14
  • Signal Processing 12
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Citations per field, relative to Maksym Andriushchenko
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Citations per year, relative to Maksym Andriushchenko
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Countries citing papers authored by Maksym Andriushchenko

Since Specialization
Citations

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

Fields of papers citing papers by Maksym Andriushchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maksym Andriushchenko

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 38
5 1
6
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
15
7
Provably robust boosted decision stumps and trees against adversarial attacks
5
8 19
9
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation
43

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