Andrey Sergeyev
Impact in
- Software top 2%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Information Systems top 1%
- Software Engineering Research
- Web Data Mining and Analysis
- Software Engineering Techniques and Practices
Papers in
-
- Software Engineering Research 5
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- Advanced Software Engineering Methodologies 3
- Logic, programming, and type systems 1
- Co-authors
- Andrian Marcus (5 shared papers)Jonathan I. Maletic (2 shared papers)Václav Rajlich (2 shared papers)Maksym Petrenko (1 shared paper)Denys Poshyvanyk (1 shared paper)Ildar Begishev (1 shared paper)
- Journals
- Kybernetes (1 paper)International Journal of Software Engineering and Knowledge Engineering (1 paper)E3S Web of Conferences (1 paper)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Andrey Sergeyev
7 papers receiving 578 citations
Peers
Comparison fields: 5 of 30
- Software 287
- Information Systems 585
- Computer Science Applications 64
- Artificial Intelligence 219
- Signal Processing 57
Countries citing papers authored by Andrey Sergeyev
This map shows the geographic impact of Andrey Sergeyev'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 Andrey Sergeyev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrey Sergeyev more than expected).
Fields of papers citing papers by Andrey Sergeyev
This network shows the impact of papers produced by Andrey Sergeyev. 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 Andrey Sergeyev. The network helps show where Andrey Sergeyev may publish in the future.
Co-authors
The 6 scholars most cited alongside Andrey Sergeyev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 352 | |
| 2 | 2005 | 111 | |
| 3 | 2005 | 91 | |
| 4 | IRiSS - A Source Code Exploration Tool. | 2005 | 24 |
| 5 | 2005 | 23 | |
| 6 | 2006 | 11 | |
| 7 | 2023 | 1 |
About Andrey Sergeyev
Andrey Sergeyev is a scholar working on Information Systems, Artificial Intelligence, General Economics, Econometrics and Finance, Software and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 613 indexed citations. Recurring topics across this work include Software Engineering Research (5 papers), Advanced Software Engineering Methodologies (3 papers), Software Testing and Debugging Techniques (2 papers), Logic, programming, and type systems (1 paper), Economic theories and models (1 paper), Digital Transformation in Law (1 paper), Economic Theory and Institutions (1 paper) and Data Visualization and Analytics (1 paper). The work is most often cited by research in Software (287 citations), Information Systems (585 citations), Computer Science Applications (64 citations), Artificial Intelligence (219 citations) and Signal Processing (57 citations). Andrey Sergeyev has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Andrian Marcus, Jonathan I. Maletic, Václav Rajlich, Maksym Petrenko, Denys Poshyvanyk and Ildar Begishev. Their work appears in journals such as Kybernetes, International Journal of Software Engineering and Knowledge Engineering and E3S Web of Conferences.
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.