Diego Garbervetsky
- Software top 5%
- Software Testing and Debugging Techniques 14
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques 13
- Information Systems top 10%
- Software Engineering Research 9
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- Formal Methods in Verification 12
- Artificial Intelligence top 10%
- Logic, programming, and type systems 13
- Advanced Software Engineering Methodologies 10
- Security and Verification in Computing 8
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- Software System Performance and Reliability 7
- Co-authors
- Vı́ctor BrabermanSebastián UchitelSergio YovineBenjamin LivshitsJuan Pablo GaleottiManuel FähndrichSven VerdoolaegePhilippe Clauss
- Journals
- ACM Transactions on Software Engineering and Methodology (2 papers)IEEE Transactions on Software Engineering (2 papers)Science of Computer Programming (1 paper)
- Partner nations
- ArgentinaUnited KingdomFrance
In The Last Decade
Diego Garbervetsky
34 papers receiving 209 citations
Peers
Comparison fields: 5 of 22
- Software 96
- Hardware and Architecture 75
- Information Systems 97
- Computational Theory and Mathematics 58
- Artificial Intelligence 110
Countries citing papers authored by Diego Garbervetsky
This map shows the geographic impact of Diego Garbervetsky'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 Diego Garbervetsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Garbervetsky more than expected).
Fields of papers citing papers by Diego Garbervetsky
This network shows the impact of papers produced by Diego Garbervetsky. 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 Diego Garbervetsky. The network helps show where Diego Garbervetsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Diego Garbervetsky, 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 | 2 | |
| 2 | 2022 | 0 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 2 | |
| 5 | 2019 | 2 | |
| 6 | 2018 | 1 | |
| 7 | 2017 | 1 | |
| 8 | 2017 | 2 | |
| 9 | 2014 | 2 | |
| 10 | 2013 | 3 | |
| 11 | 2012 | 7 | |
| 12 | 2011 | 4 | |
| 13 | 2010 | 3 | |
| 14 | 2009 | 13 | |
| 15 | 2009 | 13 | |
| 16 | 2008 | 2 | |
| 17 | 2006 | 27 | |
| 18 | 2005 | 6 | |
| 19 | 2005 | 4 | |
| 20 | 2005 | 6 |
About Diego Garbervetsky
Diego Garbervetsky is a scholar working on Software, Hardware and Architecture, Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 39 papers that have together received 227 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (14 papers), Parallel Computing and Optimization Techniques (13 papers), Logic, programming, and type systems (13 papers), Formal Methods in Verification (12 papers), Advanced Software Engineering Methodologies (10 papers), Software Engineering Research (9 papers), Security and Verification in Computing (8 papers) and Software System Performance and Reliability (7 papers). The work is most often cited by research in Software (96 citations), Hardware and Architecture (75 citations), Information Systems (97 citations), Computational Theory and Mathematics (58 citations) and Artificial Intelligence (110 citations). Diego Garbervetsky has collaborated with scholars based in Argentina, United Kingdom and France. Frequent co-authors include Vı́ctor Braberman, Sebastián Uchitel, Sergio Yovine, Benjamin Livshits, Juan Pablo Galeotti, Manuel Fähndrich, Sven Verdoolaege, Philippe Clauss, Mike Barnett and Stefan Marr. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Software Engineering, Science of Computer Programming, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Computer Science - Research and Development.
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.