Armin Rigo
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
-
- Parallel Computing and Optimization Techniques 8
- Real-Time Systems Scheduling 1
- Software 5
- Software Testing and Debugging Techniques 5
- Co-authors
- Carl Friedrich Bolz (5 shared papers)Michaël Leuschel (3 shared papers)Adrian Lienhard (1 shared paper)Nicholas D. Matsakis (1 shared paper)Thomas R. Gross (2 shared papers)Lukas Renggli (1 shared paper)Adrian Kuhn (1 shared paper)T. Verwaest (1 shared paper)
- Journals
- Computer Methods and Programs in Biomedicine (1 paper)Proceedings of the ACM on Programming Languages (1 paper)Lecture notes in computer science (2 papers)CINECA IRIS Institutial Research Information System (University of Genoa) (1 paper)
- Partner nations
- GermanySwitzerlandItaly
In The Last Decade
Armin Rigo
12 papers receiving 470 citations
Peers
Comparison fields: 5 of 40
- Hardware and Architecture 378
- Software 142
- Artificial Intelligence 348
- Computer Networks and Communications 152
- Information Systems 121
Countries citing papers authored by Armin Rigo
This map shows the geographic impact of Armin Rigo'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 Armin Rigo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armin Rigo more than expected).
Fields of papers citing papers by Armin Rigo
This network shows the impact of papers produced by Armin Rigo. 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 Armin Rigo. The network helps show where Armin Rigo may publish in the future.
Co-authors
The 21 scholars most cited alongside Armin Rigo, 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 | 2009 | 202 | |
| 2 | 2006 | 124 | |
| 3 | 2004 | 55 | |
| 4 | 2011 | 36 | |
| 5 | 2011 | 36 | |
| 6 | 2008 | 21 | |
| 7 | 2013 | 7 | |
| 8 | 2010 | 7 | |
| 9 | 2009 | 6 | |
| 10 | 2014 | 5 | |
| 11 | 2018 | 4 | |
| 12 | 2016 | 4 |
About Armin Rigo
Armin Rigo is a scholar working on Hardware and Architecture, Software, Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics, having authored 12 papers that have together received 507 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Logic, programming, and type systems (6 papers), Software Testing and Debugging Techniques (5 papers), Distributed systems and fault tolerance (3 papers), Software Engineering Research (2 papers), Distributed and Parallel Computing Systems (2 papers), Formal Methods in Verification (2 papers) and Real-Time Systems Scheduling (1 paper). The work is most often cited by research in Hardware and Architecture (378 citations), Software (142 citations), Artificial Intelligence (348 citations), Computer Networks and Communications (152 citations) and Information Systems (121 citations). Armin Rigo has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Carl Friedrich Bolz, Michaël Leuschel, Adrian Lienhard, Nicholas D. Matsakis, Thomas R. Gross, Lukas Renggli, Adrian Kuhn, T. Verwaest, Oscar Nierstrasz and Davide Ancona. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Proceedings of the ACM on Programming Languages, Lecture notes in computer science and CINECA IRIS Institutial Research Information System (University of Genoa).
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.