Gerhard Rigoll

14.8k citations
523 papers · 11.1k · 1 hit paper · h-index 50

Impact in

Papers in

Gerhard Rigoll

498 papers receiving 10.3k citations

Gerhard Rigoll's Hit Papers

Background segmentation with feedback: The Pixel-Based Adaptive Segmenter 2012 · 474 citations
4740+4+9Years since publication100200300400

Peers

Gerhard Rigoll
Comparison fields: 5 of 160
  • Signal Processing 3.9k
  • Computer Vision and Pattern Recognition 5.5k
  • Experimental and Cognitive Psychology 3.0k
  • Human-Computer Interaction 1.4k
  • Artificial Intelligence 4.2k
Replace Stefanos Zafeiriou with:
Stefanos Zafeiriou United Kingdom
Javier R. Movellan United States
Marian Stewart Bartlett United States
Stefanos Kollias Greece
Qiang Ji United States
Yingli Tian United States
Fernando De la Torre United States
Guodong Guo China
Touradj Ebrahimi Switzerland
Sridha Sridharan Australia
Gerhard Rigoll relative to Stefanos Zafeiriou United Kingdom Stefanos Zafeiriou's profile →
Citations per field
00.5×1.5×1.9×
Stefanos Zafeiriou · 1×
Citations per year

Countries citing papers authored by Gerhard Rigoll

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Rigoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 523 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003475
2
Background segmentation with feedback: The Pixel-Based Adaptive Segmenter
Hit paper breakdown →
2012474
3 2004389
4 2004350
5 2017321
6 2010318
7 2003228
8 2012225
9 2009221
10 2019211
11 2013189
12 2016186
13 2009158
14 2010140
15 2005126
16 2000122
17 2005115
18 202299
19 200690
20 200286

About Gerhard Rigoll

Gerhard Rigoll is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Human-Computer Interaction and Experimental and Cognitive Psychology, having authored 523 papers that have together received 11.1k indexed citations. Recurring topics across this work include Speech and Audio Processing (130 papers), Speech Recognition and Synthesis (124 papers), Music and Audio Processing (106 papers), Video Surveillance and Tracking Methods (73 papers), Human Pose and Action Recognition (52 papers), Emotion and Mood Recognition (45 papers), Handwritten Text Recognition Techniques (40 papers) and Natural Language Processing Techniques (39 papers). The work is most often cited by research in Signal Processing (3.9k citations), Computer Vision and Pattern Recognition (5.5k citations), Experimental and Cognitive Psychology (3.0k citations), Human-Computer Interaction (1.4k citations) and Artificial Intelligence (4.2k citations). Gerhard Rigoll has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Björn W. Schuller, M. Lang, Florian Eyben, Martin Wöllmer, Martin Hofmann, Mohammadreza Babaee, Philipp Tiefenbacher, A. Kosmala, Frank Wallhoff and Jürgen T. Geiger. Their work appears in journals such as Lecture notes in computer science, Neurocomputing, Image and Vision Computing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Speech Communication.

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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