Timofey Bryksin

749 total citations
43 papers, 312 citations indexed

About

Timofey Bryksin is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Timofey Bryksin has authored 43 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Information Systems, 16 papers in Artificial Intelligence and 14 papers in Software. Recurrent topics in Timofey Bryksin's work include Software Engineering Research (31 papers), Advanced Malware Detection Techniques (12 papers) and Software Testing and Debugging Techniques (9 papers). Timofey Bryksin is often cited by papers focused on Software Engineering Research (31 papers), Advanced Malware Detection Techniques (12 papers) and Software Testing and Debugging Techniques (9 papers). Timofey Bryksin collaborates with scholars based in Russia, United States and Canada. Timofey Bryksin's co-authors include Danny Dig, O. Smirnov, Iftekhar Ahmed, Fatemeh H. Fard, Vladimir Kovalenko, David Lo, Fuxiang Chen, Alberto Bacchelli, Nikolay Vyahhi and Jiawei Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Systems and Software and Information and Software Technology.

In The Last Decade

Timofey Bryksin

39 papers receiving 302 citations

Peers

Timofey Bryksin
Anand Ashok Sawant Netherlands
Yuchao Huang Canada
Mihai Codoban United States
Emma Söderberg Sweden
Chenyang Lyu China
Ameya Ketkar United States
David Röthlisberger Switzerland
Sven Amann Germany
Yoonki Song United States
Stas Negara United States
Anand Ashok Sawant Netherlands
Timofey Bryksin
Citations per year, relative to Timofey Bryksin Timofey Bryksin (= 1×) peers Anand Ashok Sawant

Countries citing papers authored by Timofey Bryksin

Since Specialization
Citations

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

Fields of papers citing papers by Timofey Bryksin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timofey Bryksin

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

All Works

20 of 20 papers shown
1.
Bryksin, Timofey, et al.. (2025). Full Line Code Completion: Bringing AI to Desktop. 563–574. 1 indexed citations
2.
Bryksin, Timofey, et al.. (2024). Using AI-based coding assistants in practice: State of affairs, perceptions, and ways forward. Information and Software Technology. 178. 107610–107610. 12 indexed citations
3.
Bryksin, Timofey, et al.. (2024). Unprecedented Code Change Automation: The Fusion of LLMs and Transformation by Example. Proceedings of the ACM on software engineering.. 1(FSE). 631–653. 7 indexed citations
4.
Bryksin, Timofey, et al.. (2024). Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks. 363–371. 3 indexed citations
5.
Bryksin, Timofey, et al.. (2024). Next-Generation Refactoring: Combining LLM Insights and IDE Capabilities for Extract Method. 275–287. 3 indexed citations
6.
Bryksin, Timofey, et al.. (2023). Out of the BLEU: How should we assess quality of the Code Generation models?. Journal of Systems and Software. 203. 111741–111741. 47 indexed citations
7.
AlOmar, Eman Abdullah, et al.. (2023). Just-in-time code duplicates extraction. Information and Software Technology. 158. 107169–107169. 9 indexed citations
8.
Keuning, Hieke, et al.. (2023). Detecting Code Quality Issues in Pre-written Templates of Programming Tasks in Online Courses. 152–158. 5 indexed citations
9.
Bryksin, Timofey, et al.. (2023). Judging Adam: Studying the Performance of Optimization Methods on ML4SE Tasks. 34. 117–122. 1 indexed citations
10.
Титов, С. А., et al.. (2023). Optimizing Duplicate Size Thresholds in IDEs. 541. 470–471.
11.
AlOmar, Eman Abdullah, et al.. (2022). AntiCopyPaster: Extracting Code Duplicates As Soon As They Are Introduced in the IDE. Espace ÉTS (ETS). 1–4. 6 indexed citations
12.
Bryksin, Timofey, et al.. (2022). Out of the Bleu: How Should We Assess Quality of the Code Generation Models?. SSRN Electronic Journal. 5 indexed citations
13.
Bryksin, Timofey, et al.. (2022). Reflekt: a Library for Compile-Time Reflection in Kotlin. 231–240.
14.
Smirnov, O., et al.. (2021). PyNose: A Test Smell Detector For Python. 593–605. 26 indexed citations
15.
Bryksin, Timofey, et al.. (2021). Infrastructure in Code: Towards Developer-Friendly Cloud Applications. 1166–1170. 6 indexed citations
16.
17.
Bryksin, Timofey, et al.. (2019). Evaluation of Move Method Refactorings Recommendation Algorithms: Are We Doing It Right?. 23–26. 2 indexed citations
18.
Kovalenko, Vladimir, et al.. (2019). PathMiner: A Library for Mining of Path-Based Representations of Code. Zurich Open Repository and Archive (University of Zurich). 13–17. 20 indexed citations
19.
Bryksin, Timofey, et al.. (2014). QReal:Robots an environment for teaching computer science and robotics in schools. 9. 1–5. 1 indexed citations
20.
Bryksin, Timofey, et al.. (2013). QReal DSM platform - An Environment for Creation of Specific Visual IDEs. 205–211. 3 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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