Thomas Wies
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Information Systems top 5%
- Software Engineering Research
- Cloud Computing and Resource Management
Papers in
-
- Logic, programming, and type systems 13
- Security and Verification in Computing 6
-
- Software Engineering Research 9
- Co-authors
- Tim L. King (4 shared papers)Damien Zufferey (4 shared papers)Vasu Singh (4 shared papers)Thomas A. Henzinger (4 shared papers)Andreas Podelski (5 shared papers)Lakshminarayanan Subramanian (3 shared papers)Dennis Shasha (5 shared papers)Prateek Mittal (2 shared papers)
- Journals
- ACM SIGPLAN Notices (3 papers)Proceedings of the ACM on Programming Languages (2 papers)Formal Methods in System Design (2 papers)Journal of Automated Reasoning (1 paper)Lecture notes in computer science (2 papers)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Thomas Wies
30 papers receiving 285 citations
Peers
Comparison fields: 5 of 50
- Software 69
- Information Systems 161
- Artificial Intelligence 167
- Computer Networks and Communications 110
- Hardware and Architecture 30
Countries citing papers authored by Thomas Wies
This map shows the geographic impact of Thomas Wies'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 Thomas Wies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Wies more than expected).
Fields of papers citing papers by Thomas Wies
This network shows the impact of papers produced by Thomas Wies. 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 Thomas Wies. The network helps show where Thomas Wies may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Wies, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 33 | |
| 2 | 2014 | 30 | |
| 3 | 2016 | 29 | |
| 4 | 2017 | 25 | |
| 5 | 2011 | 19 | |
| 6 | 2015 | 18 | |
| 7 | 2019 | 18 | |
| 8 | 2010 | 15 | |
| 9 | 2010 | 14 | |
| 10 | 2013 | 12 | |
| 11 | 2017 | 12 | |
| 12 | 2013 | 11 | |
| 13 | 2006 | 9 | |
| 14 | 2010 | 8 | |
| 15 | 2016 | 8 | |
| 16 | 2011 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2015 | 4 |
About Thomas Wies
Thomas Wies is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computational Theory and Mathematics and Software, having authored 32 papers that have together received 313 indexed citations. Recurring topics across this work include Logic, programming, and type systems (13 papers), Formal Methods in Verification (10 papers), Software Engineering Research (9 papers), Software Testing and Debugging Techniques (9 papers), Distributed systems and fault tolerance (6 papers), Security and Verification in Computing (6 papers), Parallel Computing and Optimization Techniques (4 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Software (69 citations), Information Systems (161 citations), Artificial Intelligence (167 citations), Computer Networks and Communications (110 citations) and Hardware and Architecture (30 citations). Thomas Wies has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Tim L. King, Damien Zufferey, Vasu Singh, Thomas A. Henzinger, Andreas Podelski, Lakshminarayanan Subramanian, Dennis Shasha, Prateek Mittal, Helen Nissenbaum and Martin Schäf. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, Formal Methods in System Design, Journal of Automated Reasoning and Lecture notes in computer science.
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.