Remco C. Veltkamp
About
In The Last Decade
Remco C. Veltkamp
194 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Computer Vision and Pattern Recognition 3.4k
- Signal Processing 1.3k
- Computational Mechanics 1.1k
- Artificial Intelligence 533
- Computer Graphics and Computer-Aided Design 480
Countries citing papers authored by Remco C. Veltkamp
This map shows the geographic impact of Remco C. Veltkamp'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 Remco C. Veltkamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Remco C. Veltkamp more than expected).
Fields of papers citing papers by Remco C. Veltkamp
This network shows the impact of papers produced by Remco C. Veltkamp. 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 Remco C. Veltkamp. The network helps show where Remco C. Veltkamp may publish in the future.
Co-authorship network of co-authors of Remco C. Veltkamp
This figure shows the co-authorship network connecting the top 25 collaborators of Remco C. Veltkamp. A scholar is included among the top collaborators of Remco C. Veltkamp 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 Remco C. Veltkamp. Remco C. Veltkamp 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 | 7 | |
| 4 | 37 | |
| 5 | 9 | |
| 6 | Feature analysis of repeated patterns in Dutch folk songs using Principal Component Analysis | 2 |
| 7 | Clustering-based Active Learning in Unbalanced Rodent Behavior Data | 1 |
| 8 | MediaEval 2015: A Segmentation-based Approach to Continuous Emotion Tracking | 4 |
| 9 | MIRUtrecht participation in MediaEval 2013: Emotion in Music task | 4 |
| 10 | 22 | |
| 11 | Topological and directional logo layout indexing using Hermitian spectra | 4 |
| 12 | Applying Rhythmic Similarity Based on Innner Metric Analysis to Folksong Research | 11 |
| 13 | 11 | |
| 14 | SHREC2006: 3D Shape Retrieval Contest | 34 |
| 15 | Alignment, Merging and Hole Filling Experiments with 3D Range Scans | 0 |
| 16 | 5 | |
| 17 | Straight Line Skeleton in Linear Time, Topologically Equivalent to the Medial Axis | 1 |
| 18 | Efficient evaluation of triangular B-splines | 1 |
| 19 | 2D and 3D object reconstruction with the $ gamma $ -neighborhood graph | 1 |
| 20 | The $ gamma $ -neighborhood graph | 2 |
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.