Veselin Raychev
Impact in
- Software top 0.5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Information Systems top 0.5%
- Software Engineering Research
Papers in
- Software 20
- Software Testing and Debugging Techniques 16
- Software Reliability and Analysis Research 6
-
- Advanced Malware Detection Techniques 13
- Co-authors
- Martin VechevEran YahavPavol BielikAndreas KrauseManu SridharanPetar TsankovBenjamin BichselJingxuan He
- Journals
- ACM SIGPLAN Notices (10 papers)Communications of the ACM (1 paper)DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (1 paper)International Conference on Machine Learning (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- SwitzerlandUnited StatesDenmark
In The Last Decade
Veselin Raychev
34 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 43
- Software 869
- Information Systems 1.2k
- Signal Processing 550
- Hardware and Architecture 179
- Computer Networks and Communications 450
Countries citing papers authored by Veselin Raychev
This map shows the geographic impact of Veselin Raychev'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 Veselin Raychev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veselin Raychev more than expected).
Fields of papers citing papers by Veselin Raychev
This network shows the impact of papers produced by Veselin Raychev. 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 Veselin Raychev. The network helps show where Veselin Raychev may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Veselin Raychev, 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 | 2024 | 1 | |
| 2 | 2021 | 2 | |
| 3 | 2021 | 8 | |
| 4 | TFix: Learning to Fix Coding Errors with a Text-to-Text Transformer | 2021 | 24 |
| 5 | 2019 | 12 | |
| 6 | 2019 | 23 | |
| 7 | 2018 | 58 | |
| 8 | PHOG: probabilistic model for code | 2016 | 55 |
| 9 | 2016 | 77 | |
| 10 | 2016 | 76 | |
| 11 | 2015 | 30 | |
| 12 | 2015 | 55 | |
| 13 | 2015 | 33 | |
| 14 | 2015 | 8 | |
| 15 | 2015 | 8 | |
| 16 | Code completion with statistical language models Hit paper breakdown → | 2014 | 336 |
| 17 | 2014 | 132 | |
| 18 | 2014 | 32 | |
| 19 | 2013 | 19 | |
| 20 | 2013 | 8 |
About Veselin Raychev
Veselin Raychev is a scholar working on Software, Signal Processing, Information Systems, Hardware and Architecture and Artificial Intelligence, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Software Engineering Research (19 papers), Software Testing and Debugging Techniques (16 papers), Advanced Malware Detection Techniques (13 papers), Software Reliability and Analysis Research (6 papers), Software System Performance and Reliability (5 papers), Topic Modeling (5 papers), Security and Verification in Computing (5 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Software (869 citations), Information Systems (1.2k citations), Signal Processing (550 citations), Hardware and Architecture (179 citations) and Computer Networks and Communications (450 citations). Veselin Raychev has collaborated with scholars based in Switzerland, United States and Denmark. Frequent co-authors include Martin Vechev, Eran Yahav, Pavol Bielik, Andreas Krause, Manu Sridharan, Petar Tsankov, Benjamin Bichsel, Jingxuan He, Dimitar Dimitrov and Eric Koskinen. Their work appears in journals such as ACM SIGPLAN Notices, Communications of the ACM, DROPS (Schloss Dagstuhl – Leibniz Center for Informatics), International Conference on Machine Learning and Zenodo (CERN European Organization for Nuclear Research).
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.