Keijo Heljanko

2.9k citations
84 papers · 1.1k indexed · h-index 15

Keijo Heljanko

79 papers receiving 965 citations

Peers

Keijo Heljanko
Comparison fields: 5 of 67
  • Software 357
  • Computational Theory and Mathematics 565
  • Artificial Intelligence 403
  • Hardware and Architecture 74
  • Management Information Systems 96
Replace Marjan Sirjani with:
Marjan Sirjani Iran
Ed Brinksma Netherlands
Christian Schallhart United Kingdom
Helmut Veith Austria
Jan Friso Groote Netherlands
Diego Latella Italy
Angelo Gargantini Italy
Werner Damm Germany
Radu Mateescu France
Taolue Chen United Kingdom
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Citations per year

Countries citing papers authored by Keijo Heljanko

Since Specialization
Citations

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

Fields of papers citing papers by Keijo Heljanko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Keijo Heljanko, 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 Keijo Heljanko Line = papers co-authored together Keijo Heljanko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20245
4 20212
5 202045
6 20205
7 20198
8 20151
9 20157
10 20147
11 201315
12
ASE 27th IEEE/ACM International Conference Automated Software Engineering 2012 (ASE 2012) ASE, Essen, Germany, September 3-7, 2012
20121
13 20116
14 20117
15 20112
16 201061
17 2006123
18
Simple is better: Efficient bounded model checking for past LTL
20051
19
Parallelisation of the Petri Net Unfolding Algorithm
20014
20 200119

About Keijo Heljanko

Keijo Heljanko is a scholar working on Software, Computational Theory and Mathematics and Hardware and Architecture, having authored 84 papers that have together received 1.1k indexed citations. Recurring topics across this work include Formal Methods in Verification (46 papers), Software Reliability and Analysis Research (29 papers), Software Testing and Debugging Techniques (20 papers), Logic, programming, and type systems (14 papers), Safety Systems Engineering in Autonomy (8 papers), Logic, Reasoning, and Knowledge (6 papers), Petri Nets in System Modeling (6 papers) and Distributed systems and fault tolerance (5 papers). The work is most often cited by research in Software (357 citations), Computational Theory and Mathematics (565 citations) and Artificial Intelligence (403 citations). Keijo Heljanko has collaborated with scholars based in Finland, Germany and United States. Frequent co-authors include Ilkka Niemelä, Javier Esparza, Jussi Rintanen, Timo Latvala, Tommi Junttila, Armin Biere, Viktor Schuppan, André Schumacher, Aleksi Kallio and Eija Korpelainen. Their work appears in journals such as Bioinformatics, PLoS ONE and Industrial & Engineering Chemistry Research.

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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