Rolf Lakämper
- Computer Vision and Pattern Recognition top 1%
- Aerospace Engineering top 10%
- Computational Mechanics top 10%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Co-authors
- Longin Jan LateckiNagesh Adluru
- Topics
- Advanced Image and Video Retrieval Techniques (5 papers)Image Retrieval and Classification Techniques (5 papers)Medical Image Segmentation Techniques (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionComputer Vision and Image Understanding
- Partner nations
- Germany
In The Last Decade
Rolf Lakämper
7 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 1.0k
- Aerospace Engineering 113
- Computational Mechanics 112
- Artificial Intelligence 92
- Signal Processing 81
Countries citing papers authored by Rolf Lakämper
This map shows the geographic impact of Rolf Lakämper'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 Rolf Lakämper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rolf Lakämper more than expected).
Fields of papers citing papers by Rolf Lakämper
This network shows the impact of papers produced by Rolf Lakämper. 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 Rolf Lakämper. The network helps show where Rolf Lakämper may publish in the future.
Co-authorship network of co-authors of Rolf Lakämper
This figure shows the co-authorship network connecting the top 25 collaborators of Rolf Lakämper. A scholar is included among the top collaborators of Rolf Lakämper 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 Rolf Lakämper. Rolf Lakämper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Force Field Based n-Scan Alignment. | 3 |
| 2 | Shape descriptors for non-rigid shapes with a single closed contourbreakdown → | 574 |
| 3 | 0 | |
| 4 | 70 | |
| 5 | Formbasierte Identifikation zweidimensionaler Objekte | 1 |
| 6 | 291 | |
| 7 | 224 | |
| 8 | Shape Description and Search for Similar Objects in Image Databases. | 1 |
About Rolf Lakämper
Rolf Lakämper is a scholar working on Computer Vision and Pattern Recognition, Geology and Media Technology, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Computer Graphics and Computer-Aided Design (50 citations) and Media Technology (77 citations). Rolf Lakämper has collaborated with scholars based in Germany. Frequent co-authors include Longin Jan Latecki and Nagesh Adluru. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Computer Vision and Image Understanding.
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.