Stephan Tschechne

21 total papers · 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 Memory and Neural Computing (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 Memory and Neural Computing (2 papers). Stephan Tschechne collaborates with scholars based in Germany and United States. Stephan Tschechne's co-authors include Heiko Neumann, Tobias Brosch, Michael Glodek, Günther Palm, Martin Schels, Stefan Scherer, Maria A. Wimmer, Friedhelm Schwenker, Freek Stulp and Bernd Radig 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 145 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Stephan Tschechne	65	53	50	40	14	10	155
Pierre Tirilly	64 1.0×	49 0.9×	68 1.4×	48 1.2×	8 0.6×	20	158
Kuan Han	32 0.5×	123 2.3×	54 1.1×	41 1.0×	5 0.4×	12	247
Nikhil Garg	50 0.8×	36 0.7×	34 0.7×	99 2.5×	18 1.3×	24	203
Stephanie C. Y. Chan	18 0.3×	76 1.4×	34 0.7×	116 2.9×	16 1.1×	16	253
Kshitij Dwivedi	17 0.3×	151 2.8×	86 1.7×	62 1.6×	12 0.9×	15	262
Sethu Vijayakumar	21 0.3×	55 1.0×	12 0.2×	30 0.8×	15 1.1×	12	125
Siming Yan	21 0.3×	141 2.7×	82 1.6×	29 0.7×	15 1.1×	9	240
Philip J. Harding	20 0.3×	90 1.7×	37 0.7×	47 1.2×	11 0.8×	17	189
David Doukhan	15 0.2×	55 1.0×	73 1.5×	63 1.6×	7 0.5×	12	177
Nat Dilokthanakul	52 0.8×	94 1.8×	29 0.6×	70 1.8×	37 2.6×	10	211

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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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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