Johannes Borgström
- Software top 10%
- Artificial Intelligence top 10%
- Logic, programming, and type systems 14
- Bayesian Modeling and Causal Inference 9
- Security and Verification in Computing 6
- Logic, Reasoning, and Knowledge 5
- Machine Learning and Algorithms 3
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- Formal Methods in Verification 9
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- Advanced Authentication Protocols Security 5
- Distributed systems and fault tolerance 5
- Co-authors
- Andrew D. GordonAditya V. NoriSriram K. RajamaniClaudio RussoThore GraepelJoachim ParrowNikhil SwamyNicolas Rolland
- Journals
- ACM SIGPLAN Notices (3 papers)Communications Biology (2 papers)ACM Transactions on Embedded Computing Systems (1 paper)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Johannes Borgström
30 papers receiving 205 citations
Peers
Comparison fields: 5 of 34
- Software 35
- Artificial Intelligence 170
- Computational Theory and Mathematics 80
- Computer Networks and Communications 66
- Signal Processing 24
Countries citing papers authored by Johannes Borgström
This map shows the geographic impact of Johannes Borgström'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 Johannes Borgström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johannes Borgström more than expected).
Fields of papers citing papers by Johannes Borgström
This network shows the impact of papers produced by Johannes Borgström. 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 Johannes Borgström. The network helps show where Johannes Borgström may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Johannes Borgström, 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 | 2021 | 0 | |
| 2 | 2021 | 13 | |
| 3 | 2021 | 2 | |
| 4 | 2017 | 1 | |
| 5 | 2016 | 2 | |
| 6 | 2016 | 5 | |
| 7 | 2015 | 6 | |
| 8 | 2014 | 21 | |
| 9 | 2014 | 5 | |
| 10 | 2013 | 13 | |
| 11 | Proceedings of the 40th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages | 2013 | 7 |
| 12 | 2013 | 11 | |
| 13 | 2013 | 41 | |
| 14 | 2013 | 3 | |
| 15 | 2011 | 4 | |
| 16 | 2009 | 2 | |
| 17 | 2009 | 3 | |
| 18 | 2008 | 5 | |
| 19 | Calculus of Cryptographic Communication | 2006 | 2 |
| 20 | 2002 | 1 |
About Johannes Borgström
Johannes Borgström is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications, having authored 31 papers that have together received 219 indexed citations. Recurring topics across this work include Logic, programming, and type systems (14 papers), Bayesian Modeling and Causal Inference (9 papers), Formal Methods in Verification (9 papers), Security and Verification in Computing (6 papers), Logic, Reasoning, and Knowledge (5 papers), Advanced Authentication Protocols Security (5 papers), Distributed systems and fault tolerance (5 papers) and Machine Learning and Algorithms (3 papers). The work is most often cited by research in Software (35 citations), Artificial Intelligence (170 citations) and Computational Theory and Mathematics (80 citations). Johannes Borgström has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Andrew D. Gordon, Aditya V. Nori, Sriram K. Rajamani, Claudio Russo, Thore Graepel, Joachim Parrow, Nikhil Swamy, Nicolas Rolland, John Guiver and Björn Victor. Their work appears in journals such as ACM SIGPLAN Notices, Communications Biology and ACM Transactions on Embedded Computing Systems.
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.