Maarten Löffler
- Computer Vision and Pattern Recognition
- Computer Graphics and Computer-Aided Design top 10%
- Signal Processing
- Artificial Intelligence
- Computational Theory and Mathematics
- Co-authors
- Marc van KreveldFrank StaalsBettina SpeckmannJason DykesRodrigo I. SilveiraAnne DriemelHerman HaverkortChris Gray
- Topics
- Data Management and Algorithms (9 papers)Computational Geometry and Mesh Generation (7 papers)Time Series Analysis and Forecasting (2 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignSignal ProcessingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaSIAM Journal on ComputingIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- NetherlandsDenmarkUnited States
In The Last Decade
Maarten Löffler
10 papers receiving 49 citations
Peers
Comparison fields: 5 of 33
- Computer Vision and Pattern Recognition 19
- Computer Graphics and Computer-Aided Design 18
- Signal Processing 18
- Artificial Intelligence 9
- Computational Theory and Mathematics 9
Countries citing papers authored by Maarten Löffler
This map shows the geographic impact of Maarten Löffler'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 Maarten Löffler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maarten Löffler more than expected).
Fields of papers citing papers by Maarten Löffler
This network shows the impact of papers produced by Maarten Löffler. 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 Maarten Löffler. The network helps show where Maarten Löffler may publish in the future.
Co-authorship network of co-authors of Maarten Löffler
This figure shows the co-authorship network connecting the top 25 collaborators of Maarten Löffler. A scholar is included among the top collaborators of Maarten Löffler 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 Maarten Löffler. Maarten Löffler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | New Results on Trajectory Grouping under Geodesic Distance | 1 |
| 5 | 12 | |
| 6 | 5 | |
| 7 | A Faster Algorithm to Compute the Visibility Map of a 1.5D Terrain | 2 |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 20 |
About Maarten Löffler
Maarten Löffler is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Visual Arts and Performing Arts, having authored 11 papers that have together received 51 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Computational Geometry and Mesh Generation (7 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (18 citations), Signal Processing (18 citations) and Computer Vision and Pattern Recognition (19 citations). Maarten Löffler has collaborated with scholars based in Netherlands, Denmark and United States. Frequent co-authors include Marc van Kreveld, Frank Staals, Bettina Speckmann, Jason Dykes, Rodrigo I. Silveira, Anne Driemel, Herman Haverkort, Chris Gray, Boris Aronov and Saul Schleimer. Their work appears in journals such as SHILAP Revista de lepidopterología, SIAM Journal on Computing and IEEE Transactions on Visualization and Computer Graphics.
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.