Stijn Heldens
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
-
- Graph Theory and Algorithms
Papers in
-
- Graph Theory and Algorithms 5
-
- Advanced Data Storage Technologies 3
- Distributed and Parallel Computing Systems 3
- Co-authors
- Ben van Werkhoven (8 shared papers)Alessio Sclocco (3 shared papers)Alexandru Iosup (4 shared papers)Rob V. van Nieuwpoort (3 shared papers)Jason Maassen (3 shared papers)Henri E. Bal (1 shared paper)Tim Hegeman (2 shared papers)Narayanan Sundaram (1 shared paper)
- Journals
- ACM Computing Surveys (2 papers)SoftwareX (2 papers)Optica (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)ACM Transactions on Mathematical Software (1 paper)
- Partner nations
- NetherlandsUnited StatesCzechia
In The Last Decade
Stijn Heldens
12 papers receiving 209 citations
Peers
Comparison fields: 5 of 61
- Hardware and Architecture 54
- Computer Vision and Pattern Recognition 94
- Computer Networks and Communications 79
- Information Systems 61
- Artificial Intelligence 75
Countries citing papers authored by Stijn Heldens
This map shows the geographic impact of Stijn Heldens'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 Stijn Heldens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stijn Heldens more than expected).
Fields of papers citing papers by Stijn Heldens
This network shows the impact of papers produced by Stijn Heldens. 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 Stijn Heldens. The network helps show where Stijn Heldens may publish in the future.
Co-authors
The 23 scholars most cited alongside Stijn Heldens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 82 | |
| 2 | 2022 | 44 | |
| 3 | 2020 | 34 | |
| 4 | 2022 | 23 | |
| 5 | 2016 | 9 | |
| 6 | 2018 | 6 | |
| 7 | 2017 | 6 | |
| 8 | 2020 | 6 | |
| 9 | 2022 | 5 | |
| 10 | 2016 | 4 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2023 | 0 |
About Stijn Heldens
Stijn Heldens is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, Hardware and Architecture and Artificial Intelligence, having authored 13 papers that have together received 221 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (5 papers), Parallel Computing and Optimization Techniques (5 papers), Graph Theory and Algorithms (5 papers), Advanced Data Storage Technologies (3 papers), Distributed and Parallel Computing Systems (3 papers), Advanced Graph Neural Networks (2 papers), Advanced Electron Microscopy Techniques and Applications (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Hardware and Architecture (54 citations), Computer Vision and Pattern Recognition (94 citations), Computer Networks and Communications (79 citations), Information Systems (61 citations) and Artificial Intelligence (75 citations). Stijn Heldens has collaborated with scholars based in Netherlands, United States and Czechia. Frequent co-authors include Ben van Werkhoven, Alessio Sclocco, Alexandru Iosup, Rob V. van Nieuwpoort, Jason Maassen, Henri E. Bal, Tim Hegeman, Narayanan Sundaram, Peter Boncz and Mihai Capotă. Their work appears in journals such as ACM Computing Surveys, SoftwareX, Optica, IEEE Transactions on Knowledge and Data Engineering and ACM Transactions on Mathematical Software.
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.