Volker Röth

7.8k citations
133 papers · 4.4k indexed · h-index 36

Impact in

Papers in

Volker Röth

128 papers receiving 4.2k citations

Peers

Volker Röth
Comparison fields: 5 of 187
  • Signal Processing 486
  • Artificial Intelligence 1.2k
  • Human-Computer Interaction 198
  • Hepatology 282
  • Computer Vision and Pattern Recognition 670
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Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by Volker Röth

Since Specialization
Citations

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

Fields of papers citing papers by Volker Röth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202413
2 202011
3 20202
4
Learning Sparse Latent Representations with the Deep Copula Information Bottleneck
20181
5
You Snooze, You Lose: Measuring {PLC} Cycle Times under Attacks
20187
6 201654
7
Sparse meta-Gaussian information bottleneck
20141
8
Distance-Based Network Recovery under Feature Correlation
20141
9 201489
10
Meta-Gaussian Information Bottleneck
20126
11
Bayesian Partitioning of Large-Scale Distance Data
20114
12
The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data
20108
13
Enhancing Situation Awareness in Real Time Geospatial Visualization
20051
14
Feature Selection in Clustering Problems
200394
15
Java security architecture and extensions
20021
16
Stability-Based Model Selection
200259
17
Going Metric: Denoising Pairwise Data
200236
18
Mobile Agent Interoperability Revisited
20013
19 20015
20
Nonlinear Discriminant Analysis Using Kernel Functions
1999164

About Volker Röth

Volker Röth is a scholar working on Statistics and Probability, Artificial Intelligence, Signal Processing, Virology and Computer Networks and Communications, having authored 133 papers that have together received 4.4k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (13 papers), User Authentication and Security Systems (11 papers), Mobile Agent-Based Network Management (10 papers), Statistical Methods and Inference (10 papers), Face and Expression Recognition (8 papers), Peer-to-Peer Network Technologies (8 papers), EEG and Brain-Computer Interfaces (7 papers) and Gene expression and cancer classification (7 papers). The work is most often cited by research in Signal Processing (486 citations), Artificial Intelligence (1.2k citations), Human-Computer Interaction (198 citations), Hepatology (282 citations) and Computer Vision and Pattern Recognition (670 citations). Volker Röth has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Joachim M. Buhmann, Tilman Lange, Bernd Fischer, Mikio L. Braun, Volker Steinhage, Niko Beerenwinkel, Kai Richter, Karin J. Metzner, Huldrych F. Günthard and Julian Laub. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Neural Computation, BMC Bioinformatics, Clinical Neurophysiology and Machine Learning.

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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