Roeland Scheepens
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Transportation top 5%
- Geography, Planning and Development top 5%
- Ocean Engineering top 10%
- Co-authors
- Huub van de WeteringJarke J. van WijkNiels WillemsGennady AndrienkoChristophe HurterNatalia AndrienkoDirk FahlandMarina Velikova
- Topics
- Data Visualization and Analytics (9 papers)Data Management and Algorithms (5 papers)Geographic Information Systems Studies (4 papers)
- Journals
- IEEE Transactions on Visualization and Computer GraphicsComputer Graphics ForumIEEE Computer Graphics and Applications
- Partner nations
- NetherlandsGermanyFrance
In The Last Decade
Roeland Scheepens
10 papers receiving 305 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 209
- Signal Processing 134
- Transportation 93
- Geography, Planning and Development 70
- Ocean Engineering 48
Countries citing papers authored by Roeland Scheepens
This map shows the geographic impact of Roeland Scheepens'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 Roeland Scheepens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roeland Scheepens more than expected).
Fields of papers citing papers by Roeland Scheepens
This network shows the impact of papers produced by Roeland Scheepens. 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 Roeland Scheepens. The network helps show where Roeland Scheepens may publish in the future.
Co-authorship network of co-authors of Roeland Scheepens
This figure shows the co-authorship network connecting the top 25 collaborators of Roeland Scheepens. A scholar is included among the top collaborators of Roeland Scheepens 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 Roeland Scheepens. Roeland Scheepens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 63 | |
| 5 | 4 | |
| 6 | 22 | |
| 7 | 19 | |
| 8 | 21 | |
| 9 | 72 | |
| 10 | 96 |
About Roeland Scheepens
Roeland Scheepens is a scholar working on Geography, Planning and Development, Signal Processing and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 312 indexed citations. Recurring topics across this work include Data Visualization and Analytics (9 papers), Data Management and Algorithms (5 papers) and Geographic Information Systems Studies (4 papers). The work is most often cited by research in Transportation (93 citations), Geography, Planning and Development (70 citations) and Signal Processing (134 citations). Roeland Scheepens has collaborated with scholars based in Netherlands, Germany and France. Frequent co-authors include Huub van de Wetering, Jarke J. van Wijk, Niels Willems, Gennady Andrienko, Christophe Hurter, Natalia Andrienko, Dirk Fahland, Marina Velikova and Michel A. Westenberg. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and IEEE Computer Graphics and Applications.
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.