Michael Heizmann

1.0k total citations
133 papers, 616 citations indexed

About

Michael Heizmann is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Michael Heizmann has authored 133 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Vision and Pattern Recognition, 26 papers in Media Technology and 26 papers in Industrial and Manufacturing Engineering. Recurrent topics in Michael Heizmann's work include Optical measurement and interference techniques (21 papers), Advanced Vision and Imaging (15 papers) and Industrial Vision Systems and Defect Detection (15 papers). Michael Heizmann is often cited by papers focused on Optical measurement and interference techniques (21 papers), Advanced Vision and Imaging (15 papers) and Industrial Vision Systems and Defect Detection (15 papers). Michael Heizmann collaborates with scholars based in Germany, United States and Austria. Michael Heizmann's co-authors include Fernando Puente León, Jürgen Beyerer, Andreas Jahn, Thomas Längle, Klaus‐Dieter Sommer, S. Höfer, Jan Burke, Karin Kniel, Martin Peterek and Robert Schmitt and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Michael Heizmann

113 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Heizmann Germany 12 244 138 125 86 85 133 616
Hu Su China 14 242 1.0× 74 0.5× 198 1.6× 50 0.6× 64 0.8× 72 638
Krzysztof Okarma Poland 15 308 1.3× 92 0.7× 109 0.9× 136 1.6× 58 0.7× 83 572
Yi Sun China 16 269 1.1× 129 0.9× 85 0.7× 62 0.7× 250 2.9× 87 836
Xindu Chen China 13 142 0.6× 207 1.5× 201 1.6× 73 0.8× 108 1.3× 47 553
Hao Feng China 15 412 1.7× 145 1.1× 114 0.9× 155 1.8× 147 1.7× 90 1.0k
Ling Xiao China 11 162 0.7× 116 0.8× 143 1.1× 39 0.5× 47 0.6× 35 640
Laura Fernández-Robles Spain 16 190 0.8× 134 1.0× 112 0.9× 29 0.3× 129 1.5× 47 738

Countries citing papers authored by Michael Heizmann

Since Specialization
Citations

This map shows the geographic impact of Michael Heizmann'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 Heizmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Heizmann more than expected).

Fields of papers citing papers by Michael Heizmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Heizmann. 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 Heizmann. The network helps show where Michael Heizmann may publish in the future.

Co-authorship network of co-authors of Michael Heizmann

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

All Works

20 of 20 papers shown
1.
Heizmann, Michael, et al.. (2025). B6.4 - Ev2Gray: Generating Intensity Images from Event Streams. Lectures. 117–118.
2.
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Heizmann, Michael, et al.. (2024). Fast semantic segmentation CNNs for FPGAs. 123–134.
4.
Zanger, Frederik, et al.. (2024). Classification of the machine state in turning processes by using the acoustic emission. Production Engineering. 18(2). 289–297. 1 indexed citations
5.
Eichstädt, Sascha, et al.. (2024). Modelling of measuring systems – From white box models to cognitive approaches. Measurement Sensors. 38. 101503–101503.
6.
Heizmann, Michael, et al.. (2024). Probabilistic Estimation of Parameters for Lubrication Application with Neural Networks. SHILAP Revista de lepidopterología. 5(4). 2428–2440. 1 indexed citations
7.
Afifi, Ahmed J., Samuel T. Thiele, Sandra Lorenz, et al.. (2023). Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 11 indexed citations
8.
Zhou, Jiachen, et al.. (2023). Semi-supervised methods for CNN based classification of multispectral imagery. Repository KITopen (Karlsruhe Institute of Technology). 37–49.
9.
Hasch, Jürgen, et al.. (2022). Radar-Based Robust People Tracking and Consumer Applications. IEEE Sensors Journal. 22(4). 3726–3735. 20 indexed citations
10.
Schlisske, Stefan, Qihao Jin, Adrian Mertens, et al.. (2022). Fabrication of Microlens Arrays with High Quality and High Fill Factor by Inkjet Printing. Advanced Optical Materials. 10(14). 38 indexed citations
11.
Jahn, Andreas, et al.. (2022). Analysis of AI-Based Single-View 3D Reconstruction Methods for an Industrial Application. Sensors. 22(17). 6425–6425. 14 indexed citations
12.
Hu, Rui, et al.. (2021). Privacy preserving synthetic respiratory sounds for class incremental learning. Smart Health. 23. 100232–100232. 4 indexed citations
13.
Lemmer, Uli, et al.. (2021). Automated quality assessment of inkjet-printed microlens arrays. tm - Technisches Messen. 88(6). 342–351. 2 indexed citations
14.
Jahn, Andreas, et al.. (2021). Camera-Based In-Process Quality Measurement of Hairpin Welding. Applied Sciences. 11(21). 10375–10375. 22 indexed citations
15.
Heizmann, Michael, et al.. (2020). Semantische Segmentierung von Ankerkomponenten von Elektromotoren. Repository KITopen (Karlsruhe Institute of Technology). 2 indexed citations
16.
Heizmann, Michael, et al.. (2020). A Step towards Explainable Artificial Neural Networks in Image Processing by Dataset Assessment. Repository KITopen (Karlsruhe Institute of Technology). 2 indexed citations
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Heizmann, Michael, et al.. (2020). A Multispectral Light Field Dataset and Framework for Light Field Deep Learning. IEEE Access. 8. 193492–193502. 7 indexed citations
19.
Heizmann, Michael, et al.. (2020). UEM-CNN: Enhanced stereo matching for unstructured environments with dataset filtering and novel error metrics. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 205. 2 indexed citations
20.
Heizmann, Michael, et al.. (2013). Bildverbesserung in Unterwasser-Anwendungen / Image Enhancement for Underwater Applications. tm - Technisches Messen. 80(10). 1 indexed citations

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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