Stefan Posch

1.9k total citations
105 papers, 1.1k citations indexed

About

Stefan Posch is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Stefan Posch has authored 105 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 26 papers in Computer Vision and Pattern Recognition and 17 papers in Mechanical Engineering. Recurrent topics in Stefan Posch's work include Genomics and Chromatin Dynamics (14 papers), Refrigeration and Air Conditioning Technologies (14 papers) and Medical Image Segmentation Techniques (12 papers). Stefan Posch is often cited by papers focused on Genomics and Chromatin Dynamics (14 papers), Refrigeration and Air Conditioning Technologies (14 papers) and Medical Image Segmentation Techniques (12 papers). Stefan Posch collaborates with scholars based in Germany, Austria and United States. Stefan Posch's co-authors include Jan Grau, Jens Keilwagen, Ivo Große, Jens Boch, Birgit Möller, André Gohr, Andreas Wimmer, Gerhard Pirker, Steffen Neumann and Christoph Ruttkies and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Stefan Posch

99 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stefan Posch Germany 17 551 171 87 80 78 105 1.1k
Layne T. Watson United States 16 278 0.5× 85 0.5× 99 1.1× 17 0.2× 110 1.4× 59 867
Yonglei Zhang China 24 616 1.1× 123 0.7× 116 1.3× 21 0.3× 59 0.8× 129 2.1k
Mingsheng Liu China 27 365 0.7× 54 0.3× 252 2.9× 96 1.2× 122 1.6× 200 2.2k
Anil Kumar Yadav India 27 93 0.2× 18 0.1× 113 1.3× 123 1.5× 34 0.4× 132 1.8k
Jiayi Guo China 18 476 0.9× 48 0.3× 24 0.3× 343 4.3× 370 4.7× 69 1.6k
Zhonghua Wu China 17 631 1.1× 33 0.2× 60 0.7× 148 1.9× 197 2.5× 42 1.2k
Alejandro F. Villaverde Spain 24 929 1.7× 31 0.2× 99 1.1× 16 0.2× 129 1.7× 61 1.8k
Yuqian Guo China 23 967 1.8× 12 0.1× 77 0.9× 26 0.3× 146 1.9× 104 1.8k
Jingxuan Liu China 17 361 0.7× 188 1.1× 36 0.4× 134 1.7× 24 0.3× 38 1.1k
Johnny Park United States 17 407 0.7× 218 1.3× 46 0.5× 265 3.3× 24 0.3× 37 1.1k

Countries citing papers authored by Stefan Posch

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Posch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Posch

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Posch. A scholar is included among the top collaborators of Stefan Posch 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 Stefan Posch. Stefan Posch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Posch, Stefan, et al.. (2024). Approximating families of sharp solutions to Fisher's equation with physics-informed neural networks. Computer Physics Communications. 307. 109422–109422.
2.
Posch, Stefan, et al.. (2023). Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks. IEEE Access. 11. 86252–86261. 18 indexed citations
3.
Posch, Stefan, et al.. (2022). Development, Calibration and Validation of a Tribological Simulation Model for the Piston Ring Pack of a Large Gas Engine. SAE International Journal of Advances and Current Practices in Mobility. 5(2). 642–651.
4.
Pirker, Gerhard, et al.. (2022). Estimation of Combustion Parameters from Engine Vibrations Based on Discrete Wavelet Transform and Gradient Boosting. Sensors. 22(11). 4235–4235. 13 indexed citations
5.
Posch, Stefan, et al.. (2022). Knock Detection in Combustion Engine Time Series Using a Theory-Guided 1-D Convolutional Neural Network Approach. IEEE/ASME Transactions on Mechatronics. 27(5). 4101–4111. 13 indexed citations
6.
Posch, Stefan, et al.. (2022). In-cylinder pressure reconstruction from engine block vibrations via a branched convolutional neural network. Mechanical Systems and Signal Processing. 183. 109640–109640. 9 indexed citations
7.
Pirker, Gerhard, et al.. (2021). Detection of Knocking Combustion Using the Continuous Wavelet Transformation and a Convolutional Neural Network. Energies. 14(2). 439–439. 21 indexed citations
8.
Möller, Birgit, et al.. (2019). rhizoTrak: a flexible open source Fiji plugin for user-friendly manual annotation of time-series images from minirhizotrons. Plant and Soil. 444(1-2). 519–534. 16 indexed citations
9.
Posch, Stefan, et al.. (2016). Numerical Simulation of the 3d Transient Temperature Evolution Inside a Domestic Single Zone Wine Storage Cabinet with Forced Air Circulation. Purdue e-Pubs (Purdue University System). 2217. 3 indexed citations
10.
Möller, Birgit & Stefan Posch. (2013). A Framework Unifying the Development of Image Analysis Algorithms and Associated User Interfaces. Machine Vision and Applications. 447–450. 2 indexed citations
11.
Grau, Jan, et al.. (2012). Jstacs: a java framework for statistical analysis and classification of biological sequences. Journal of Machine Learning Research. 13(1). 1967–1971. 34 indexed citations
12.
Möller, Birgit, et al.. (2010). Scale-adaptive Wavelet-based Particle Detection in Microscopy Images.. 266–270. 4 indexed citations
13.
Stegle, Oliver, et al.. (2009). Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series. MPG.PuRe (Max Planck Society). 133–142. 2 indexed citations
14.
Grau, Jan, Jens Keilwagen, Alexander Kel, Ivo Große, & Stefan Posch. (2007). Supervised posteriors for DNA-motif classification. 123–134. 4 indexed citations
15.
Bauckhage, Christian, Gernot A. Fink, Gunther Heidemann, et al.. (1999). Towards an Image Understanding Architecture for a Situated Artificial Communicator. Pattern Recognition and Image Analysis. 9(4). 2 indexed citations
16.
Posch, Stefan, et al.. (1998). Perceptual Grouping using Markov Random Fields and Cue Integration of Contour and Region Information. Tissue Antigens. 86(4). 308–9. 1 indexed citations
17.
Ackermann, Friedrich, et al.. (1997). Perceptual Grouping of Contour Segments Using Markov Random Fields. Pattern Recognition and Image Analysis. 7(1). 7 indexed citations
18.
Posch, Stefan, et al.. (1995). Mask-Oriented Grouping Operations in a Contour-Based Approach. PUB – Publications at Bielefeld University (Bielefeld University). 3. 5 indexed citations
19.
Moratz, Reinhard, Stefan Posch, & Gerhard Sagerer. (1994). Controlling Multiple Neural Nets with Semantic Networks. PUB – Publications at Bielefeld University (Bielefeld University). 140(2). 295–51. 1 indexed citations
20.
Kümmert, Franz, et al.. (1993). Recognition of 3D-Orientation from Monocular Color Images by Neural Semantic Networks. Pattern Recognition and Image Analysis. 3(3). 316. 4 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.

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