John Håkansson

912 citations
14 papers · 483 · h-index 10

Impact in

  • Software top 2%
    • Model-Driven Software Engineering Techniques
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Real-Time Systems Scheduling
    • Embedded Systems Design Techniques

Papers in

John Håkansson

14 papers receiving 430 citations

Peers

John Håkansson
Comparison fields: 5 of 32
  • Software 220
  • Hardware and Architecture 185
  • Computational Theory and Mathematics 302
  • Artificial Intelligence 206
  • Safety, Risk, Reliability and Quality 36
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Gitanjali Swamy United States
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Citations per field
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Citations per year

Countries citing papers authored by John Håkansson

Since Specialization
Citations

This map shows the geographic impact of John Håkansson'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 John Håkansson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Håkansson more than expected).

Fields of papers citing papers by John Håkansson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Håkansson. 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 John Håkansson. The network helps show where John Håkansson may publish in the future.

Co-authors

The 20 scholars most cited alongside John Håkansson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Håkansson Line = papers co-authored together John Håkansson links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2006236
2 200683
3 200630
4 200727
5 200823
6 200623
7 200816
8 200313
9
The SaveCCM Language Reference Manual
200712
10 200910
11
An Analysis Tool for UML Models with SPT Annotations
20045
12
Minimal DBM Substraction
20042
13
Design and Verification of Component Based Real-Time Systems
20092
14
Handling Subsystems using the SaveComp Component Technology
20061

About John Håkansson

John Håkansson is a scholar working on Computational Theory and Mathematics, Hardware and Architecture, Software, Artificial Intelligence and Control and Systems Engineering, having authored 14 papers that have together received 483 indexed citations. Recurring topics across this work include Formal Methods in Verification (12 papers), Real-Time Systems Scheduling (8 papers), Embedded Systems Design Techniques (6 papers), Model-Driven Software Engineering Techniques (5 papers), Advanced Software Engineering Methodologies (3 papers), Software Testing and Debugging Techniques (2 papers), Real-time simulation and control systems (2 papers) and Logic, programming, and type systems (2 papers). The work is most often cited by research in Software (220 citations), Hardware and Architecture (185 citations), Computational Theory and Mathematics (302 citations), Artificial Intelligence (206 citations) and Safety, Risk, Reliability and Quality (36 citations). John Håkansson has collaborated with scholars based in Sweden, Denmark and Italy. Frequent co-authors include Paul Pettersson, Kim G. Larsen, Martijn Hendriks, A. David, Gerd Behrmann, Yi Wang, Jan Carlson, Hans Hansson, Johan Fredriksson and Massimo Tivoli. Their work appears in journals such as Journal of Systems and Software, International Journal on Software Tools for Technology Transfer, Lecture notes in computer science, Electronic Notes in Theoretical Computer Science and Radboud Repository (Radboud University).

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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