Bernhard Sick

4.9k citations

220 papers · 3.1k · 1 hit paper · h-index 26

Impact in

Artificial Intelligence top 1%
- Anomaly Detection Techniques and Applications
- Solar Radiation and Photovoltaics
- Neural Networks and Applications
Signal Processing top 2%
- Time Series Analysis and Forecasting

Papers in

Artificial Intelligence 123
- Anomaly Detection Techniques and Applications 34
- Neural Networks and Applications 30
- Machine Learning and Algorithms 17
- Machine Learning and Data Classification 14
Computer Vision and Pattern Recognition 39

Co-authors: André Gensler (13 shared papers)Janosch Henze (5 shared papers)Nils Raabe (1 shared paper)Thiemo Gruber (13 shared papers)Sven Tomforde (28 shared papers)Christian Gruber (9 shared papers)Konrad Doll (22 shared papers)Adrian Calma (16 shared papers)
Journals: Information Sciences (9 papers)Scientific Reports (4 papers)Energies (3 papers)Applied Soft Computing (3 papers)IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) (2 papers)
Partner nations: Germany United States Finland

In The Last Decade

Bernhard Sick

206 papers receiving 2.9k citations

Bernhard Sick's Hit Papers

align trajectories log scale

Deep Learning for solar power forecasting — An approach using AutoEncoder and LSTM Neural Networks 2016 · 434 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2016 Deep Learning for solar power forecasting — An approach using AutoEncoder and LSTM Neural Networks

Peers

Countries citing papers authored by Bernhard Sick

Since Specialization

Citations

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

Fields of papers citing papers by Bernhard Sick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 220 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Deep Learning for solar power forecasting — An approach using AutoEncoder and LSTM Neural Networks André Gensler, Janosch Henze, Bernhard Sick, Nils Raabe Hit paper breakdown →	2016	434
2	ON-LINE AND INDIRECT TOOL WEAR MONITORING IN TURNING WITH ARTIFICIAL NEURAL NETWORKS: A REVIEW OF MORE THAN A DECADE OF RESEARCH Mechanical Systems and Signal Processing ·Bernhard Sick	2002	344
3	Online Signature Verification With Support Vector Machines Based on LCSS Kernel Functions IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ·Christian Gruber, Thiemo Gruber, Sebastian Forster, Bernhard Sick	2009	102
4	Evolutionary Optimization of Radial Basis Function Classifiers for Data Mining Applications IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ·Oliver Buchtala, Maciej Klimek, Bernhard Sick	2005	100
5	Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar arXiv (Cornell University) ·Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide	2020	95
6	Online Segmentation of Time Series Based on Polynomial Least-Squares Approximations IEEE Transactions on Pattern Analysis and Machine Intelligence ·E Fuchs, Thiemo Gruber, J Nitschke, Bernhard Sick	2010	89
7	Trajectory prediction of cyclists using a physical model and an artificial neural network Stefan Zernetsch, Sascha Kohnen, Michael Goldhammer, Konrad Doll, Bernhard Sick	2016	51
8	On the versatility of radial basis function neural networks: A case study in the field of intrusion detection Information Sciences ·Dominik Fisch, Alexander Hofmann, Bernhard Sick	2010	45
9	Object detection for automotive radar point clouds – a comparison Nicolas Scheiner, Florian Kraus, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick	2021	40
10	On-line motif detection in time series with SwiftMotif Pattern Recognition ·Erich Fuchs, Thiemo Gruber, J Nitschke, Bernhard Sick	2009	40
11	Wave-front reconstruction with a Shack–Hartmann sensor with an iterative spline fitting method Applied Optics ·Sascha Groening, Bernhard Sick, Klaus Donner, Johannes Pfund, Norbert Lindlein, Johannes Schwider	2000	39
12	Online Intrusion Alert Aggregation with Generative Data Stream Modeling IEEE Transactions on Dependable and Secure Computing ·Alexander Hofmann, Bernhard Sick	2009	38
13	Quantitative Emergence -- A Refined Approach Based on Divergence Measures Dominik Fisch, Martin Jänicke, Bernhard Sick, Christian Müller-Schloer	2010	36
14	Transductive active learning – A new semi-supervised learning approach based on iteratively refined generative models to capture structure in data Information Sciences ·Tobias Reitmaier, Adrian Calma, Bernhard Sick	2014	33
15	Feature selection for intrusion detection: an evolutionary wrapper approach A. Hofmann, Timo Horeis, Bernhard Sick	2005	28
16	Radar-based Feature Design and Multiclass Classification for Road User Recognition arXiv (Cornell University) ·Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick	2018	28
17	On general purpose time series similarity measures and their use as kernel functions in support vector machines Information Sciences ·Helmuth Pree, Benjamin Herwig, Thiemo Gruber, Bernhard Sick, Klaus David, Paul Lukowicz	2014	28
18	Semi-supervised active learning for support vector machines: A novel approach that exploits structure information in data Information Sciences ·Adrian Calma, Tobias Reitmaier, Bernhard Sick	2018	28
19	CLeaR: An adaptive continual learning framework for regression tasks arXiv (Cornell University) ·Yujiang He, Bernhard Sick	2021	27
20	Evolutionary optimization of radial basis function networks for intrusion detection A. Hofmann, Bernhard Sick	2004	27

About Bernhard Sick

Bernhard Sick is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 220 papers that have together received 3.1k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (34 papers), Neural Networks and Applications (30 papers), Autonomous Vehicle Technology and Safety (22 papers), Time Series Analysis and Forecasting (21 papers), Machine Learning and Algorithms (17 papers), Network Security and Intrusion Detection (17 papers), Energy Load and Power Forecasting (16 papers) and Machine Learning and Data Classification (14 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Signal Processing (428 citations), Computer Vision and Pattern Recognition (528 citations), Computer Networks and Communications (429 citations) and Automotive Engineering (215 citations). Bernhard Sick has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include André Gensler, Janosch Henze, Nils Raabe, Thiemo Gruber, Sven Tomforde, Christian Gruber, Konrad Doll, Adrian Calma, Maciej Klimek and Nicolas Scheiner. Their work appears in journals such as Information Sciences, Scientific Reports, Energies, Applied Soft Computing and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

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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Bernhard Sick

Bernhard Sick's Hit Papers

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All Works

About Bernhard Sick

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