Jochen Triesch

6.0k citations
237 papers · 4.0k · h-index 32

Impact in

Papers in

Jochen Triesch

220 papers receiving 3.8k citations

Peers

Jochen Triesch
Comparison fields: 5 of 141
  • Human-Computer Interaction 683
  • Cognitive Neuroscience 2.1k
  • Developmental and Educational Psychology 572
  • Computer Vision and Pattern Recognition 982
  • Neurology 290
Replace Martin Rolfs with:
Martin Rolfs Germany
Hanspeter A. Mallot Germany
Walter F. Bischof Canada
Roger H. S. Carpenter United Kingdom
Susana T. L. Chung United States
Yasuo Kuniyoshi Japan
Iain Donald Gilchrist United Kingdom
Markus Lappe Germany
Paolo Viviani Italy
Tetsuo Ono Japan
Jochen Triesch relative to Martin Rolfs Germany Martin Rolfs's profile →
Citations per field
00.5×2×2.7×
Martin Rolfs · 1×
Citations per year

Countries citing papers authored by Jochen Triesch

Since Specialization
Citations

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

Fields of papers citing papers by Jochen Triesch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jochen Triesch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jochen Triesch Line = papers co-authored together Jochen Triesch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 237 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003261
2 2006183
3 2001180
4 2002176
5 2001143
6 2014119
7 2014110
8 2007108
9 201898
10 200598
11 200594
12 200274
13 201073
14 201369
15 201262
16 200762
17 200351
18 199950
19 199848
20 200248

About Jochen Triesch

Jochen Triesch is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience, Neurology and Human-Computer Interaction, having authored 237 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (86 papers), Visual perception and processing mechanisms (51 papers), Advanced Memory and Neural Computing (40 papers), Child and Animal Learning Development (20 papers), Retinal Development and Disorders (19 papers), Neuroscience and Neuropharmacology Research (16 papers), Visual Attention and Saliency Detection (14 papers) and Robot Manipulation and Learning (14 papers). The work is most often cited by research in Human-Computer Interaction (683 citations), Cognitive Neuroscience (2.1k citations), Developmental and Educational Psychology (572 citations), Computer Vision and Pattern Recognition (982 citations) and Neurology (290 citations). Jochen Triesch has collaborated with scholars based in Germany, United States and Hong Kong. Frequent co-authors include C. von der Malsburg, Christoph von der Malsburg, Gedeon O. Deák, Mary Hayhoe, Brian T. Sullivan, D.H. Ballard, Bertram Emil Shi, Ulf Ziemann, Eric T. Carlson and Christof Teuscher. Their work appears in journals such as Journal of Vision, PLoS Computational Biology, PLoS ONE, Brain stimulation and Neural Computation.

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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