Stephan Tschechne

421 total citations
10 papers, 155 citations indexed

About

Stephan Tschechne is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Stephan Tschechne has authored 10 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Cognitive Neuroscience and 4 papers in Artificial Intelligence. Recurrent topics in Stephan Tschechne's work include Neural dynamics and brain function (4 papers), Visual perception and processing mechanisms (3 papers) and Advanced Vision and Imaging (2 papers). Stephan Tschechne is often cited by papers focused on Neural dynamics and brain function (4 papers), Visual perception and processing mechanisms (3 papers) and Advanced Vision and Imaging (2 papers). Stephan Tschechne collaborates with scholars based in Germany and United States. Stephan Tschechne's co-authors include Heiko Neumann, Tobias Brosch, Maria A. Wimmer, Bernd Radig, Günther Palm, Georg Layher, Stefan Scherer, Freek Stulp, Friedhelm Schwenker and Michael Glodek and has published in prestigious journals such as Frontiers in Neuroscience, Journal of Vision and Frontiers in Computational Neuroscience.

In The Last Decade

Stephan Tschechne

9 papers receiving 144 citations

Peers

Stephan Tschechne

EEE

CN

CVPR

AI

CMN

Pierre Tirilly France

Nikhil Garg France

Kshitij Dwivedi Germany

Siming Yan United States

David Doukhan France

Ioan Marius Bilasco France

Hemant Kumar Meena India

Abbas Ebrahimi-Moghadam Iran

Katja Seeliger Netherlands

Junxing Shi United States

Pierre Tirilly France

Stephan Tschechne

64 ×1.0

EEE

49 ×0.9

CN

68 ×1.4

CVPR

48 ×1.2

AI

8 ×0.6

CMN

Citations per year, relative to Stephan Tschechne Stephan Tschechne (= 1×) peers Pierre Tirilly

Countries citing papers authored by Stephan Tschechne

Since Specialization

Citations

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

Fields of papers citing papers by Stephan Tschechne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Tschechne

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

All Works

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10 of 10 papers shown

1.

Krenkel, Martin, et al.. (2020). Automated defect detection for fast evaluation of real inline CT scans. Nondestructive Testing And Evaluation. 35(3). 266–275. 9 indexed citations

2.

Brosch, Tobias, Stephan Tschechne, & Heiko Neumann. (2015). On event-based optical flow detection. Frontiers in Neuroscience. 9. 137–137. 68 indexed citations

3.

Brosch, Tobias, et al.. (2015). On event-based motion detection and integration. 10 indexed citations

4.

Tschechne, Stephan & Heiko Neumann. (2014). Hierarchical representation of shapes in visual cortexâ€”from localized features to figural shape segregation. Frontiers in Computational Neuroscience. 8. 93–93. 21 indexed citations

5.

Schels, Martin, Michael Glodek, Stefan Scherer, et al.. (2013). Multi-Modal Classifier-Fusion for the Recognition of Emotions. 73–97. 9 indexed citations

6.

Scherer, Stefan, Michael Glodek, Georg Layher, et al.. (2012). A generic framework for the inference of user states in human computer interaction. Journal on Multimodal User Interfaces. 6(3-4). 117–141. 21 indexed citations

7.

Tschechne, Stephan & Heiko Neumann. (2012). The Structure of Optical Flow for Figure-Ground Segregation. Journal of Vision. 12(9). 242–242. 1 indexed citations

8.

Tschechne, Stephan & Heiko Neumann. (2011). Ordinal depth from occlusion using optical flow: A neural model. Journal of Vision. 11(11). 716–716. 2 indexed citations

9.

Layher, Georg, et al.. (2011). Social Signal Processing in Companion Systems - Challenges Ahead. Max Planck Institute for Plasma Physics. 1–15. 1 indexed citations

10.

Wimmer, Maria A., Freek Stulp, Stephan Tschechne, & Bernd Radig. (2006). Learning Robust Objective Functions for Model Fitting in Image Understanding Applications. 118.1–118.10. 13 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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