Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Background segmentation with feedback: The Pixel-Based Adaptive Segmenter
2012426 citationsMartin Hofmann, Philipp Tiefenbacher et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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).
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-authorship network of co-authors of Gerhard Rigoll
This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Rigoll.
A scholar is included among the top collaborators of Gerhard Rigoll 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 Gerhard Rigoll. Gerhard Rigoll is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Babaee, Mohammadreza, Reza Bahmanyar, Gerhard Rigoll, & Mihai Datcu. (2014). Interactive clustering for SAR image understanding. elib (German Aerospace Center). 1–4.1 indexed citations
8.
Weninger, Felix, Shinji Watanabe, Jonathan Le Roux, et al.. (2014). The MERL/MELCO/TUM system for the REVERB Challenge using Deep Recurrent Neural Network Feature Enhancement. International Conference on Acoustics, Speech, and Signal Processing.23 indexed citations
Weninger, Felix, Jürgen T. Geiger, Martin Wöllmer, Björn W. Schuller, & Gerhard Rigoll. (2013). The Munich Feature Enhancement Approach to the 2013 CHiME Challenge Using BLSTM Recurrent Neural Networks. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).14 indexed citations
11.
Hofmann, Martin, Philipp Tiefenbacher, & Gerhard Rigoll. (2012). Background segmentation with feedback: The Pixel-Based Adaptive Segmenter. 38–43.426 indexed citations breakdown →
12.
Wöllmer, Martin, Florian Eyben, Alex Graves, Björn W. Schuller, & Gerhard Rigoll. (2009). A Tandem BLSTM-DBN Architecture for Keyword Spotting with Enhanced Context Modeling.12 indexed citations
13.
Schuller, Björn W., et al.. (2008). One Day in Half an Hour: Music Thumbnailing Incorporating Harmony- and Rhythm Structure.3 indexed citations
14.
Kohlbecher, Stefan, et al.. (2007). Gaze vector detection by stereo reconstruction of the pupil contours (Abstract ECE 2007). Journal of Eye Movement Research. 1(1). 121.1 indexed citations
15.
Dielmann, Alfred, Daniel Gática-Pérez, S.A. Reiter, et al.. (2006). Multimodal Integration for Meeting Group Action Segmentation and Recognition. Lecture notes in computer science. 52–63.17 indexed citations
16.
Rigoll, Gerhard, et al.. (2006). A context-adaptive search engine concept and multimodal input strategies for automotive environments.
17.
Lang, Manfred, et al.. (2003). Towards Multimodal Error Management: Experimental Evaluation of User Strategies in Event of Faulty Application Behavior in Automotive Environments. SHILAP Revista de lepidopterología.2 indexed citations
18.
Wallhoff, Frank & Gerhard Rigoll. (2003). Synthesis and Recognition of Face Profiles. Vision Modeling and Visualization. 545–552.1 indexed citations
19.
Rigoll, Gerhard, et al.. (1998). Controlling the Complexity of HMM Systems by Regularization. Neural Information Processing Systems. 11. 737–743.6 indexed citations
20.
Rigoll, Gerhard, A. Kosmala, & Stefan Eickeler. (1998). High Performance Real-Time Gesture Recognition Using Hidden Markov Models.5 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.