Germán Vidal
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
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- Formal Methods in Verification
Papers in
-
- Logic, programming, and type systems 38
- Logic, Reasoning, and Knowledge 18
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- Formal Methods in Verification 32
- semigroups and automata theory 7
- Co-authors
- Marı́a Alpuente (16 shared papers)Elvira Albert (12 shared papers)Moreno Falaschi (12 shared papers)Michael Hanus (13 shared papers)Josep Silva (11 shared papers)Naoki Nishida (6 shared papers)Frank Huch (7 shared papers)Javier Oliver (5 shared papers)
In The Last Decade
Germán Vidal
51 papers receiving 360 citations
Peers
Comparison fields: 5 of 22
- Software 130
- Computational Theory and Mathematics 241
- Artificial Intelligence 307
- Hardware and Architecture 51
- Information Systems 73
Countries citing papers authored by Germán Vidal
This map shows the geographic impact of Germán Vidal'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 Germán Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germán Vidal more than expected).
Fields of papers citing papers by Germán Vidal
This network shows the impact of papers produced by Germán Vidal. 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 Germán Vidal. The network helps show where Germán Vidal may publish in the future.
Co-authors
The 25 scholars most cited alongside Germán Vidal, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 38 | |
| 2 | 2005 | 33 | |
| 3 | 2002 | 27 | |
| 4 | 1997 | 27 | |
| 5 | 2018 | 18 | |
| 6 | A Practical Partial Evaluation Scheme for Multi-Paradigm Declarative Languages. | 2002 | 16 |
| 7 | 1999 | 16 | |
| 8 | 2008 | 15 | |
| 9 | 2004 | 14 | |
| 10 | 2004 | 13 | |
| 11 | 2002 | 13 | |
| 12 | 2003 | 11 | |
| 13 | 2010 | 10 | |
| 14 | 1998 | 10 | |
| 15 | 2002 | 9 | |
| 16 | 2012 | 8 | |
| 17 | 2011 | 8 | |
| 18 | 2008 | 7 | |
| 19 | 1997 | 7 | |
| 20 | 1996 | 7 |
About Germán Vidal
Germán Vidal is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Software, Information Systems and Computer Networks and Communications, having authored 61 papers that have together received 396 indexed citations. Recurring topics across this work include Logic, programming, and type systems (38 papers), Formal Methods in Verification (32 papers), Logic, Reasoning, and Knowledge (18 papers), Software Testing and Debugging Techniques (16 papers), semigroups and automata theory (7 papers), Software Engineering Research (6 papers), Distributed systems and fault tolerance (5 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Software (130 citations), Computational Theory and Mathematics (241 citations), Artificial Intelligence (307 citations), Hardware and Architecture (51 citations) and Information Systems (73 citations). Germán Vidal has collaborated with scholars based in Spain, Germany and Italy. Frequent co-authors include Marı́a Alpuente, Elvira Albert, Moreno Falaschi, Michael Hanus, Josep Silva, Naoki Nishida, Frank Huch, Javier Oliver, Pascual Julián-Iranzo and Ivan Lanese. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Logical and Algebraic Methods in Programming, Theoretical Computer Science, Theory and Practice of Logic Programming and LISP and Symbolic Computation.
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.