Matthias Schubert

4.1k total citations · 1 hit paper
106 papers, 2.3k citations indexed

About

Matthias Schubert is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matthias Schubert has authored 106 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 27 papers in Signal Processing and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matthias Schubert's work include Data Management and Algorithms (24 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Image Retrieval and Classification Techniques (9 papers). Matthias Schubert is often cited by papers focused on Data Management and Algorithms (24 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Image Retrieval and Classification Techniques (9 papers). Matthias Schubert collaborates with scholars based in Germany, Switzerland and Denmark. Matthias Schubert's co-authors include Hans‐Peter Kriegel, Arthur Zimek, Michael Havbro Faber, Jack W. Baker, Alexey Pryakhin, Matthias Renz, Jakaria Rabbi, Dennis Chao, Nilanjan Ray and Subir Chowdhury and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Accident Analysis & Prevention.

In The Last Decade

Matthias Schubert

102 papers receiving 2.2k citations

Hit Papers

Angle-based outlier detection in high-dimensional data 2008 2026 2014 2020 2008 100 200 300 400 500
What are hit papers?

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.

  1. Angle-based outlier detection in high-dimensional data
    2008 510 citations Hans‐Peter Kriegel, Matthias Schubert et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Schubert Germany 19 835 444 394 355 337 106 2.3k
Joanna Hodge United Kingdom 16 1.9k 2.2× 398 0.9× 427 1.1× 285 0.8× 692 2.1× 72 3.4k
Jim Austin United Kingdom 18 1.8k 2.1× 572 1.3× 494 1.3× 215 0.6× 583 1.7× 80 3.2k
Ashok N. Srivastava United States 22 1.1k 1.4× 186 0.4× 413 1.0× 87 0.2× 249 0.7× 72 2.2k
Thomas D. Nielsen Denmark 21 1.7k 2.0× 187 0.4× 243 0.6× 174 0.5× 254 0.8× 73 3.4k
Rui Yong China 33 449 0.5× 564 1.3× 239 0.6× 715 2.0× 160 0.5× 152 3.5k
Mariette Awad Lebanon 20 702 0.8× 339 0.8× 234 0.6× 112 0.3× 503 1.5× 107 3.1k
Derya Birant Türkiye 19 777 0.9× 297 0.7× 424 1.1× 72 0.2× 169 0.5× 90 2.3k
Vojislav Kecman New Zealand 22 695 0.8× 456 1.0× 145 0.4× 177 0.5× 88 0.3× 83 2.5k
Farhad Pourpanah China 20 1.3k 1.6× 627 1.4× 130 0.3× 119 0.3× 143 0.4× 37 2.9k

Countries citing papers authored by Matthias Schubert

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Schubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Schubert

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Schubert. A scholar is included among the top collaborators of Matthias Schubert 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 Matthias Schubert. Matthias Schubert 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.
Zhang, Weiheng, et al.. (2025). Probabilistic digital-twin-informed risk-based inspection planning for offshore wind turbine structures. Structural Health Monitoring. 2 indexed citations
2.
Schubert, Matthias, et al.. (2024). Probabilistic digital twin-informed reliability based inspection of offshore tripod jacket. VBN Forskningsportal (Aalborg Universitet). 1 indexed citations
3.
Wöger, Friedrich, Thomas Rimmelé, A. Tritschler, et al.. (2024). DKIST instrumentation system commissioning. 42–42.
4.
Schubert, Matthias, et al.. (2023). Discrete adjoint method for variational integration of constrained ODEs and its application to optimal control of geometrically exact beam dynamics. Multibody System Dynamics. 60(3). 447–474. 10 indexed citations
5.
Langer, Martin, et al.. (2023). Multi-Spectral Super-Resolution of Thermal Infrared Data Products for Urban Heat Applications. 30. 4919–4922. 1 indexed citations
6.
Schubert, Matthias, et al.. (2023). Digital twin and SHM informed risk based inspection planning for offshore wind turbine structures. VBN Forskningsportal (Aalborg Universitet). 1 indexed citations
7.
Schubert, Matthias, et al.. (2022). Federated Continual Learning for Text Classification via Selective Inter-client Transfer. 4789–4799. 8 indexed citations
8.
Schubert, Matthias, et al.. (2022). Box Supervised Video Segmentation Proposal Network. 96–104. 3 indexed citations
9.
Schubert, Matthias, et al.. (2022). A Comparison of Ambulance Redeployment Systems on Real-World Data. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–8. 1 indexed citations
10.
Han, Zhen, et al.. (2022). TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion. Repository for Publications and Research Data (ETH Zurich). 22–31. 9 indexed citations
11.
Schubert, Matthias, et al.. (2020). Semi-Markov Reinforcement Learning for Stochastic Resource Collection. 3349–3355. 6 indexed citations
12.
Schubert, Matthias, et al.. (2020). On the distribution of maximum crest and wave height at intermediate water depths. Ocean Engineering. 217. 107485–107485. 13 indexed citations
13.
Schubert, Matthias, et al.. (2016). Mittelalterliche Silberproduktion im wettinischen und přemyslidischen Regierungsraum: neue archäologische Untersuchungen. 1 indexed citations
14.
Schubert, Matthias, et al.. (2015). Probabilistic Resource Route Queries with Reappearance. Movebank. 445–456. 10 indexed citations
15.
Drachen, Anders & Matthias Schubert. (2013). Spatial game analytics and visualization. 1–8. 17 indexed citations
16.
Schubert, Matthias, et al.. (2012). Prediction of road accidents: A Bayesian hierarchical approach. Accident Analysis & Prevention. 51. 274–291. 80 indexed citations
17.
Schubert, Matthias, et al.. (2012). Risk Assessment of Road Tunnels using Bayesian Networks. Procedia - Social and Behavioral Sciences. 48. 2697–2706. 26 indexed citations
18.
Graf, Franz, Hans‐Peter Kriegel, Matthias Schubert, Sebastian Pölsterl, & Alexander Cavallaro. (2011). 2D Image Registration in CT Images Using Radial Image Descriptors. Lecture notes in computer science. 14(Pt 2). 607–614. 38 indexed citations
19.
Schubert, Matthias, et al.. (2008). Robustness of Externally and Internally Post-Tensioned Bridges. Beton- und Stahlbetonbau. 103(S1). 16–22. 4 indexed citations
20.
Achtert, Elke, et al.. (2006). Clustering Multi-Represented Objects Using Combination Trees.

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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