Tijs van der Storm

966 citations
34 papers · 156 indexed · h-index 9
Topics
Software Engineering Research (12 papers)Software Testing and Debugging Techniques (11 papers)Model-Driven Software Engineering Techniques (10 papers)

In The Last Decade

Tijs van der Storm

30 papers receiving 145 citations

Peers

Tijs van der Storm
Comparison fields: 5 of 33
  • Information Systems 94
  • Software 85
  • Artificial Intelligence 80
  • Computer Science Applications 25
  • Computer Networks and Communications 24
Replace Hugo Pacheco with:
Hugo Pacheco Portugal
Krzysztof Stencel Poland
Leonid Kof Germany
Birgit Demuth Germany
Muath Alkhalaf United States
Sven Jörges Germany
Martin Schäf United States
Adrian Lienhard Switzerland
Roswitha Bardohl Germany
Peter Achten Netherlands
Tijs van der Storm relative to Hugo Pacheco Portugal Hugo Pacheco's profile →
Citations per field
00.5×4.6×
Hugo Pacheco · 1×
Citations per year

Countries citing papers authored by Tijs van der Storm

Since Specialization
Citations

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

Fields of papers citing papers by Tijs van der Storm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tijs van der Storm. 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 Tijs van der Storm. The network helps show where Tijs van der Storm may publish in the future.

Co-authorship network of co-authors of Tijs van der Storm

This figure shows the co-authorship network connecting the top 25 collaborators of Tijs van der Storm. A scholar is included among the top collaborators of Tijs van der Storm 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 Tijs van der Storm. Tijs van der Storm 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
#WorkIndexed citations
1 0
2 0
3 0
4 11
5 2
6 1
7 13
8 3
9 2
10 2
11 8
12 1
13 4
14 17
15 2
16
The TTC 2014 FIXML Case: Rascal Solution
1
17 9
18 3
19
AMBIDEXTER: Practical Ambiguity Detection Tool Demonstration
3
20 16

About Tijs van der Storm

Tijs van der Storm is a scholar working on Software, Information Systems and Hardware and Architecture, having authored 34 papers that have together received 156 indexed citations. Recurring topics across this work include Software Engineering Research (12 papers), Software Testing and Debugging Techniques (11 papers) and Model-Driven Software Engineering Techniques (10 papers). The work is most often cited by research in Software (85 citations), Computer Science Applications (25 citations) and Information Systems (94 citations). Tijs van der Storm has collaborated with scholars based in Netherlands, France and United States. Frequent co-authors include Jurgen Vinju, Mauricio Verano Merino, Alex Loh, William R. Cook, Abdolkarim Afroozeh, Bert Lisser, Atze van der Ploeg, Mark Hills, Paul Klint and Richard F. Paige. Their work appears in journals such as IEEE Software, ACM SIGPLAN Notices and Journal of Computer-Aided Molecular Design.

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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