Michael Kamp
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- Orthopaedic implants and arthroplasty 1
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- Data Visualization and Analytics 3
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- Machine Learning in Materials Science 2
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- Explainable Artificial Intelligence (XAI) 2
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- Stock Market Forecasting Methods 2
- Forecasting Techniques and Applications 2
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- COVID-19 diagnosis using AI 2
- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Andreas OttersbachRolf HaakerAntonios DeligiannakisNikos GiatrakosMinos GarofalakisMichael MöckLi ZhangMario Boley
- Journals
- IEEE Transactions on Visualization and Computer Graphics (2 papers)Clinical Orthopaedics and Related Research (1 paper)Journal of Systems and Software (1 paper)
- Partner nations
- GermanyAustraliaUnited Kingdom
In The Last Decade
Michael Kamp
13 papers receiving 364 citations
Peers
Comparison fields: 5 of 66
- Surgery 268
- Signal Processing 28
- Computer Networks and Communications 49
- Orthopedics and Sports Medicine 12
- Software 5
Countries citing papers authored by Michael Kamp
This map shows the geographic impact of Michael Kamp'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 Michael Kamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kamp more than expected).
Fields of papers citing papers by Michael Kamp
This network shows the impact of papers produced by Michael Kamp. 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 Michael Kamp. The network helps show where Michael Kamp may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Kamp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 19 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 3 | |
| 11 | Designing visualisation enhancements for SIEM systems | 2018 | 1 |
| 12 | 2016 | 76 | |
| 13 | 2016 | 2 | |
| 14 | 2014 | 3 | |
| 15 | 2013 | 1 | |
| 16 | 2007 | 8 | |
| 17 | 2005 | 272 | |
| 18 | 2002 | 0 |
About Michael Kamp
Michael Kamp is a scholar working on Health Informatics, Museology, Management Science and Operations Research, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 392 indexed citations. Recurring topics across this work include Data Visualization and Analytics (3 papers), Machine Learning in Materials Science (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Stock Market Forecasting Methods (2 papers), Forecasting Techniques and Applications (2 papers), COVID-19 diagnosis using AI (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Orthopaedic implants and arthroplasty (1 paper). The work is most often cited by research in Surgery (268 citations), Signal Processing (28 citations), Computer Networks and Communications (49 citations), Orthopedics and Sports Medicine (12 citations) and Software (5 citations). Michael Kamp has collaborated with scholars based in Germany, Australia and United Kingdom. Frequent co-authors include Andreas Ottersbach, Rolf Haaker, Antonios Deligiannakis, Nikos Giatrakos, Minos Garofalakis, Michael Möck, Li Zhang, Mario Boley, Thomas Gärtner and Xiaolong Zhang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Clinical Orthopaedics and Related Research, Journal of Systems and Software, Computer Methods and Programs in Biomedicine 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.