Johannes Borgström

849 total citations
31 papers, 219 citations indexed

About

Johannes Borgström is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Johannes Borgström has authored 31 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 11 papers in Computational Theory and Mathematics. Recurrent topics in Johannes Borgström's work include Logic, programming, and type systems (14 papers), Bayesian Modeling and Causal Inference (9 papers) and Formal Methods in Verification (9 papers). Johannes Borgström is often cited by papers focused on Logic, programming, and type systems (14 papers), Bayesian Modeling and Causal Inference (9 papers) and Formal Methods in Verification (9 papers). Johannes Borgström collaborates with scholars based in Sweden, United Kingdom and United States. Johannes Borgström's 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 and has published in prestigious journals such as ACM SIGPLAN Notices, Communications Biology and ACM Transactions on Embedded Computing Systems.

In The Last Decade

Johannes Borgström

30 papers receiving 205 citations

Peers

Johannes Borgström
Comparison fields: 5 of 34
  • Artificial Intelligence 170
  • Computational Theory and Mathematics 80
  • Computer Networks and Communications 66
  • Software 35
  • Information Systems 32
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Citations per field, relative to Johannes Borgström
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Citations per year, relative to Johannes Borgström
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Countries citing papers authored by Johannes Borgström

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Johannes Borgström

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Borgström. A scholar is included among the top collaborators of Johannes Borgström 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 Johannes Borgström. Johannes Borgström is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 13
3 2
4 1
5 2
6 5
7 6
8 21
9 5
10 13
11
Proceedings of the 40th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages
7
12 11
13 41
14 3
15 4
16 2
17 3
18 5
19
Calculus of Cryptographic Communication
2
20 1

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.

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