Jørn Justesen
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 5%
- Discrete Mathematics and Combinatorics top 10%
- Co-authors
- Daniel J. CostelloJames L. MasseyTom HøholdtKnud J. LarsenLars PedersenSøren ForchhammerPeter Beelen
- Topics
- Error Correcting Code Techniques (6 papers)Coding theory and cryptography (5 papers)Cooperative Communication and Network Coding (4 papers)
- Cited by
- Discrete Mathematics and CombinatoricsComputer Networks and CommunicationsArtificial Intelligence
- Journals
- IEEE Transactions on Information TheoryIEEE Communications MagazineIEEE Transactions on Communications
- Partner nations
- DenmarkUnited States
In The Last Decade
Jørn Justesen
12 papers receiving 276 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 200
- Electrical and Electronic Engineering 186
- Computer Networks and Communications 149
- Computational Theory and Mathematics 79
- Discrete Mathematics and Combinatorics 42
Countries citing papers authored by Jørn Justesen
This map shows the geographic impact of Jørn Justesen'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 Jørn Justesen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jørn Justesen more than expected).
Fields of papers citing papers by Jørn Justesen
This network shows the impact of papers produced by Jørn Justesen. 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 Jørn Justesen. The network helps show where Jørn Justesen may publish in the future.
Co-authorship network of co-authors of Jørn Justesen
This figure shows the co-authorship network connecting the top 25 collaborators of Jørn Justesen. A scholar is included among the top collaborators of Jørn Justesen 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 Jørn Justesen. Jørn Justesen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 63 | |
| 5 | 28 | |
| 6 | 9 | |
| 7 | 17 | |
| 8 | 11 | |
| 9 | 31 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 126 |
About Jørn Justesen
Jørn Justesen is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Hardware and Architecture, having authored 12 papers that have together received 303 indexed citations. Recurring topics across this work include Error Correcting Code Techniques (6 papers), Coding theory and cryptography (5 papers) and Cooperative Communication and Network Coding (4 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (42 citations), Computer Networks and Communications (149 citations) and Artificial Intelligence (200 citations). Jørn Justesen has collaborated with scholars based in Denmark and United States. Frequent co-authors include Daniel J. Costello, James L. Massey, Tom Høholdt, Knud J. Larsen, Lars Pedersen, Søren Forchhammer and Peter Beelen. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Communications Magazine and IEEE Transactions on Communications.
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.