David Münch

585 total citations · 1 hit paper
11 papers, 290 citations indexed

About

David Münch is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, David Münch has authored 11 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Aerospace Engineering. Recurrent topics in David Münch's work include Human Pose and Action Recognition (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Video Surveillance and Tracking Methods (3 papers). David Münch is often cited by papers focused on Human Pose and Action Recognition (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Video Surveillance and Tracking Methods (3 papers). David Münch collaborates with scholars based in Germany. David Münch's co-authors include Michael Arens, Pedram Azad, Tamim Asfour, Rüdiger Dillmann, Wolfgang Hübner, Rainer Stiefelhagen, Joris IJsselmuiden and Stefan Becker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Ambient Intelligence and Smart Environments and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

David Münch

8 papers receiving 278 citations

Hit Papers

Analysis of Explainers of Black Box Deep Neural Networks ... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
    2021 233 citations David Münch, Michael Arens et al. SHILAP Revista de lepidopterología profile →

Peers

David Münch
Bharti Khemani India
Simrandeep Singh India
Marcos Escudero-Viñolo Spain
Ashraf S. Hussein Egypt
Syam Machinathu Parambil Gangadharan India
A. Lamas Spain
Kishor K. Bhoyar India
Yitong Li China
Bharti Khemani India
David Münch
Citations per year, relative to David Münch David Münch (= 1×) peers Bharti Khemani

Countries citing papers authored by David Münch

Since Specialization
Citations

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

Fields of papers citing papers by David Münch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Münch

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

All Works

11 of 11 papers shown
1.
Münch, David, et al.. (2024). Object detection in the thermal infrared spectral range by diffusion model based domain adaptation of the training data. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 30–30.
2.
Münch, David, et al.. (2022). Towards a multi-purpose monocular vision-based high-level situation awareness system. HAL (Le Centre pour la Communication Scientifique Directe). 10.
3.
Münch, David, et al.. (2022). APMD: Adversarial Pixel Masking Derivative for multispectral object detectors. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 2301. 14–14.
4.
Münch, David, et al.. (2021). Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey. SHILAP Revista de lepidopterología. 3(4). 966–989. 233 indexed citations breakdown →
5.
Münch, David, et al.. (2019). Automated license plate detection for image anonymization. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 4. 26–26. 2 indexed citations
6.
Münch, David, et al.. (2019). An architecture for automatic multimodal video data anonymization to ensure data protection. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 25–25. 2 indexed citations
7.
Münch, David, et al.. (2016). Action Recognition in the Longwave Infrared and the Visible Spectrum Using Hough Forests. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 329–332. 7 indexed citations
8.
Münch, David, et al.. (2016). Hierarchical Hough forests for view-independent action recognition. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 40. 1911–1916. 3 indexed citations
9.
IJsselmuiden, Joris, et al.. (2014). Automatic understanding of group behavior using fuzzy temporal logic. Journal of Ambient Intelligence and Smart Environments. 6(6). 623–649. 2 indexed citations
10.
Azad, Pedram, David Münch, Tamim Asfour, & Rüdiger Dillmann. (2011). 6-DoF model-based tracking of arbitrarily shaped 3D objects. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 34 indexed citations
11.
Münch, David, Joris IJsselmuiden, Michael Arens, & Rainer Stiefelhagen. (2011). High-level situation recognition using Fuzzy Metric Temporal Logic, case studies in surveillance and smart environments. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 25. 882–889. 7 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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