Wolf Kienzle

1.5k citations
18 papers · 720 · h-index 13

Impact in

Papers in

Wolf Kienzle

18 papers receiving 705 citations

Peers

Wolf Kienzle
Comparison fields: 5 of 82
  • Human-Computer Interaction 248
  • Computer Vision and Pattern Recognition 385
  • Cognitive Neuroscience 270
  • Sensory Systems 24
  • Computer Graphics and Computer-Aided Design 17
Replace Claudio M. Privitera with:
Claudio M. Privitera United States
Laura Trutoiu United States
Martin Jüttner Germany
Hiroshi Ando Japan
Umesh Rajashekar United States
Jeremy B. Badler United States
Jeffrey S. Perry United States
Kazumichi Matsumiya Japan
Denis Pellerin France
Matei Mancaş Belgium
Wolf Kienzle relative to Claudio M. Privitera United States Claudio M. Privitera's profile →
Citations per field
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Claudio M. Privitera · 1×
Citations per year

Countries citing papers authored by Wolf Kienzle

Since Specialization
Citations

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

Fields of papers citing papers by Wolf Kienzle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wolf Kienzle, 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 Wolf Kienzle Line = papers co-authored together Wolf Kienzle links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2009139
2 201484
3 200975
4
Face Detection --- Efficient and Rank Deficient
200465
5 201262
6 201559
7 201955
8 202150
9 200642
10 200826
11 201316
12 200613
13 202112
14 20238
15
Real-Time Face Detection
20038
16 20244
17 20101
18
Nonlinear Receptive Field Analysis: Making Kernel Methods Interpretable
20071

About Wolf Kienzle

Wolf Kienzle is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Human-Computer Interaction, Signal Processing and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 720 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (6 papers), Tactile and Sensory Interactions (6 papers), Hand Gesture Recognition Systems (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Face and Expression Recognition (3 papers), Gaze Tracking and Assistive Technology (3 papers), Visual Attention and Saliency Detection (3 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Human-Computer Interaction (248 citations), Computer Vision and Pattern Recognition (385 citations), Cognitive Neuroscience (270 citations), Sensory Systems (24 citations) and Computer Graphics and Computer-Aided Design (17 citations). Wolf Kienzle has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Bernhard Schölkopf, Matthias Franz, Ken Hinckley, Felix A. Wichmann, Hrvoje Benko, Kumar Chellapilla, Steven M. Drucker, Sing Bing Kang, Johannes Kopf and Gökhan Bakır. Their work appears in journals such as ACM Transactions on Graphics, Journal of Vision, Neurology, MPG.PuRe (Max Planck Society) and Max Planck Institute for Plasma Physics.

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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