Michael Kamp

1.1k total citations
18 papers, 392 citations indexed

About

Michael Kamp is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Michael Kamp has authored 18 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Michael Kamp's work include Data Visualization and Analytics (3 papers), Machine Learning in Materials Science (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Michael Kamp is often cited by papers focused on Data Visualization and Analytics (3 papers), Machine Learning in Materials Science (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Michael Kamp collaborates with scholars based in Germany, Australia and United Kingdom. Michael Kamp's co-authors include Andreas Ottersbach, Rolf Haaker, Antonios Deligiannakis, Nikos Giatrakos, Minos Garofalakis, Michael Möck, Li Zhang, Mario Boley, Thomas Gärtner and Xiaolong Zhang and has published in prestigious journals such as Clinical Orthopaedics and Related Research, IEEE Transactions on Visualization and Computer Graphics and Computer Methods and Programs in Biomedicine.

In The Last Decade

Michael Kamp

13 papers receiving 364 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael Kamp Germany	4	268	49	32	28	27	18	392
Robert Gutiérrez United States	6	81 0.3×	40 0.8×	50 1.6×	23 0.8×	14 0.5×	18	211
S. Naresh Kumar India	11	26 0.1×	35 0.7×	14 0.4×	16 0.6×	36 1.3×	17	206
Parul Goyal India	10	24 0.1×	45 0.9×	51 1.6×	15 0.5×	35 1.3×	40	259
Jianmin Zhao China	7	25 0.1×	35 0.7×	22 0.7×	17 0.6×	24 0.9×	34	133
Dazhou Li China	8	17 0.1×	101 2.1×	34 1.1×	6 0.2×	19 0.7×	34	350
Sohaib Manzoor Pakistan	12	19 0.1×	155 3.2×	38 1.2×	10 0.4×	13 0.5×	28	315
Hiroshi Ishii Japan	9	22 0.1×	242 4.9×	20 0.6×	26 0.9×	8 0.3×	76	360
Yubin Wang China	9	23 0.1×	20 0.4×	152 4.8×	3 0.1×	23 0.9×	40	245
Huayong Wang China	9	23 0.1×	121 2.5×	22 0.7×	16 0.6×	48 1.8×	16	304
Ben Leslie Australia	7	43 0.2×	158 3.2×	126 3.9×	60 2.1×	122 4.5×	17	336

Countries citing papers authored by Michael Kamp

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Michael Kamp

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Kamp. A scholar is included among the top collaborators of Michael Kamp 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 Michael Kamp. Michael Kamp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Boratto, Ludovico, et al.. (2025). GNNFairViz: Visual Analysis for Graph Neural Network Fairness. IEEE Transactions on Visualization and Computer Graphics. 31(10). 7153–7170. 2 indexed citations

Kim, Moon, Johannes Haubold, René Hosch, et al.. (2025). Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries. Computer Methods and Programs in Biomedicine. 261. 108634–108634. 1 indexed citations

Kleesiek, Jens, et al.. (2025). Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 39(15). 15293–15301.

Chen, Siming, et al.. (2024). Visual Computing for Autonomous Driving. IEEE Computer Graphics and Applications. 44(3). 11–13.

Li, Jianning, A.J.M. Ferreira, Behrus Puladi, et al.. (2023). Open-source skull reconstruction with MONAI. SoftwareX. 23. 101432–101432. 2 indexed citations

Kamp, Michael, et al.. (2023). Re-interpreting rules interpretability. International Journal of Data Science and Analytics. 20(1). 25–45.

Kamp, Michael, et al.. (2023). Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9171–9179. 1 indexed citations

Zhang, Li, et al.. (2022). When, Where and How Does it Fail? A Spatial-Temporal Visual Analytics Approach for Interpretable Object Detection in Autonomous Driving. IEEE Transactions on Visualization and Computer Graphics. 29(12). 5033–5049. 19 indexed citations

Kamp, Michael, et al.. (2020). Relative Flatness and Generalization in the Interpolation Regime. 1 indexed citations

10.

Welke, Pascal, et al.. (2020). HOPS: Probabilistic Subtree Mining for Small and Large Graphs. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1275–1284. 3 indexed citations

11.

Nguyen, Phong H., Siming Chen, Natalia Andrienko, et al.. (2018). Designing visualisation enhancements for SIEM systems. 1 indexed citations

12.

Giatrakos, Nikos, et al.. (2016). Issues in complex event processing: Status and prospects in the Big Data era. Journal of Systems and Software. 127. 217–236. 76 indexed citations

13.

Kamp, Michael, et al.. (2016). Ligand-Based Virtual Screening with Co-regularised Support Vector Regression. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 261–268. 2 indexed citations

14.

Gärtner, Thomas, Michael Kamp, & Mario Boley. (2014). Beating human analysts in nowcasting corporate earnings by using publicly available stock price and correlation features. Repository@Nottingham (University of Nottingham). 3 indexed citations

15.

Kamp, Michael, Mario Boley, & Thomas Gärtner. (2013). Beating Human Analysts in Nowcasting Corporate Earnings by Using Publicly Available Stock Price and Correlation Features. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1. 384–390. 1 indexed citations

16.

Kamp, Michael, et al.. (2007). A Turbomachinery Gridding System. 45th AIAA Aerospace Sciences Meeting and Exhibit. 8 indexed citations

17.

Haaker, Rolf, et al.. (2005). Computer-Assisted Navigation Increases Precision of Component Placement in Total Knee Arthroplasty. Clinical Orthopaedics and Related Research. &NA;(433). 152–159. 272 indexed citations

18.

Kamp, Michael. (2002). Das Museum als Ort der Politik. Electronic Theses of LMU Munich (Ludwig-Maximilians-Universität München).

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.

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