Tobias Wrigstad
- Artificial Intelligence top 5%
- Information Systems top 5%
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Software top 5%
- Co-authors
- Johan ÖstlundJan VítekDave ClarkeJames NobleSylvain LebresneSophia DrossopoulouFrancesco Zappa NardelliJohn K. Field
- Topics
- Logic, programming, and type systems (36 papers)Parallel Computing and Optimization Techniques (31 papers)Distributed systems and fault tolerance (13 papers)
- Journals
- ACM SIGPLAN NoticesACM Transactions on Programming Languages and SystemsLecture notes in computer science
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Tobias Wrigstad
49 papers receiving 429 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 332
- Information Systems 219
- Hardware and Architecture 168
- Computer Networks and Communications 156
- Software 100
Countries citing papers authored by Tobias Wrigstad
This map shows the geographic impact of Tobias Wrigstad'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 Tobias Wrigstad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Wrigstad more than expected).
Fields of papers citing papers by Tobias Wrigstad
This network shows the impact of papers produced by Tobias Wrigstad. 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 Tobias Wrigstad. The network helps show where Tobias Wrigstad may publish in the future.
Co-authorship network of co-authors of Tobias Wrigstad
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Wrigstad. A scholar is included among the top collaborators of Tobias Wrigstad based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tobias Wrigstad. Tobias Wrigstad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | Mining for Safety using Interactive Trace Analysis | 0 |
| 11 | 0 | |
| 12 | 5 | |
| 13 | Types for CAS: Relaxed Linearity with Ownership Transfer | 1 |
| 14 | 6 | |
| 15 | 0 | |
| 16 | 39 | |
| 17 | Tribe: More Types for Virtual Classes | 2 |
| 18 | Tribe: A simple virtual class calculus | 2 |
| 19 | 12 | |
| 20 | Alias control with read-only references | 4 |
About Tobias Wrigstad
Tobias Wrigstad is a scholar working on Hardware and Architecture, Software and Artificial Intelligence, having authored 56 papers that have together received 459 indexed citations. Recurring topics across this work include Logic, programming, and type systems (36 papers), Parallel Computing and Optimization Techniques (31 papers) and Distributed systems and fault tolerance (13 papers). The work is most often cited by research in Software (100 citations), Hardware and Architecture (168 citations) and Artificial Intelligence (332 citations). Tobias Wrigstad has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Johan Östlund, Jan Vítek, Dave Clarke, James Noble, Sylvain Lebresne, Sophia Drossopoulou, Francesco Zappa Nardelli, John K. Field, Gregor Richards and Bard Bloom. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems 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.