Martin Kampel
- Computer Vision and Pattern Recognition top 1%
- Geology top 2%
- Archeology top 2%
- Artificial Intelligence top 10%
- Space and Planetary Science top 1%
- Co-authors
- Robert SablatnigSebastian ZambaniniHafeez AnwarMarkus VinczeMaia ZaharievaHorst WildenauerJulian StöttingerBranislav Mičušík
- Topics
- Video Surveillance and Tracking Methods (29 papers)3D Surveying and Cultural Heritage (23 papers)Image Processing and 3D Reconstruction (22 papers)
- Journals
- SHILAP Revista de lepidopterologíaCarbonJournal of Medical Internet Research
- Partner nations
- AustriaSwitzerlandUnited Kingdom
In The Last Decade
Martin Kampel
118 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 134
- Computer Vision and Pattern Recognition 821
- Geology 223
- Archeology 119
- Artificial Intelligence 110
- Space and Planetary Science 99
Countries citing papers authored by Martin Kampel
This map shows the geographic impact of Martin Kampel'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 Martin Kampel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Kampel more than expected).
Fields of papers citing papers by Martin Kampel
This network shows the impact of papers produced by Martin Kampel. 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 Martin Kampel. The network helps show where Martin Kampel may publish in the future.
Co-authorship network of co-authors of Martin Kampel
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kampel. A scholar is included among the top collaborators of Martin Kampel 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 Martin Kampel. Martin Kampel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 32 | |
| 5 | 2 | |
| 6 | 43 | |
| 7 | 22 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | User-Centered Design and Evaluation of an Ambient Event Detector Based on a Balanced Scorecard Approach | 3 |
| 14 | 4 | |
| 15 | 5 | |
| 16 | On Colour Spaces for Change Detection and Shadow Suppression | 13 |
| 17 | 6 | |
| 18 | 46 | |
| 19 | 1 | |
| 20 | Range Image Registration of Rotationally Symmetric Objects | 1 |
About Martin Kampel
Martin Kampel is a scholar working on Computer Vision and Pattern Recognition, Geology and Space and Planetary Science, having authored 119 papers that have together received 1.2k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (29 papers), 3D Surveying and Cultural Heritage (23 papers) and Image Processing and 3D Reconstruction (22 papers). The work is most often cited by research in Space and Planetary Science (99 citations), Computer Vision and Pattern Recognition (821 citations) and Geology (223 citations). Martin Kampel has collaborated with scholars based in Austria, Switzerland and United Kingdom. Frequent co-authors include Robert Sablatnig, Sebastian Zambanini, Hafeez Anwar, Markus Vincze, Maia Zaharieva, Horst Wildenauer, Julian Stöttinger, Branislav Mičušík, Mark G. Borg and D. Thirde. Their work appears in journals such as SHILAP Revista de lepidopterología, Carbon and Journal of Medical Internet Research.
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.