Andreas Theissler

1.3k total citations · 1 hit paper
36 papers, 796 citations indexed

About

Andreas Theissler is a scholar working on Artificial Intelligence, Control and Systems Engineering and Signal Processing. According to data from OpenAlex, Andreas Theissler has authored 36 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 7 papers in Control and Systems Engineering and 7 papers in Signal Processing. Recurrent topics in Andreas Theissler's work include Anomaly Detection Techniques and Applications (10 papers), Machine Learning and Data Classification (8 papers) and Time Series Analysis and Forecasting (6 papers). Andreas Theissler is often cited by papers focused on Anomaly Detection Techniques and Applications (10 papers), Machine Learning and Data Classification (8 papers) and Time Series Analysis and Forecasting (6 papers). Andreas Theissler collaborates with scholars based in Germany, Netherlands and United States. Andreas Theissler's co-authors include Gordon Elger, Marcel Kettelgerdes, Judith Pérez-Velázquez, Martin Atzmueller, Udo Schlegel, Riccardo Guidotti, Michael Burch, Mark R. Thomas, Myra Spiliopoulou and Bongtae Han and has published in prestigious journals such as IEEE Access, Reliability Engineering & System Safety and Knowledge-Based Systems.

In The Last Decade

Andreas Theissler

33 papers receiving 749 citations

Hit Papers

Predictive maintenance enabled by machine learning: Use c... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Theissler Germany 10 285 253 96 87 74 36 796
Liangwei Zhang China 13 290 1.0× 575 2.3× 119 1.2× 55 0.6× 86 1.2× 41 1.1k
Symone Gomes Soares Alcalá Brazil 9 263 0.9× 388 1.5× 296 3.1× 39 0.4× 107 1.4× 24 1.1k
Jun‐Geol Baek South Korea 16 244 0.9× 287 1.1× 290 3.0× 51 0.6× 108 1.5× 94 910
Yijun Cheng China 13 173 0.6× 211 0.8× 25 0.3× 62 0.7× 96 1.3× 43 639
Roberto Nardone Italy 16 158 0.6× 177 0.7× 281 2.9× 63 0.7× 129 1.7× 55 858
Pooja Kamat India 13 177 0.6× 315 1.2× 141 1.5× 25 0.3× 86 1.2× 39 745
Raj Madhavan United States 13 249 0.9× 195 0.8× 81 0.8× 25 0.3× 68 0.9× 83 752
Héctor Quintián Spain 19 300 1.1× 113 0.4× 53 0.6× 98 1.1× 176 2.4× 75 809
Miren Nekane Bilbao Spain 12 365 1.3× 106 0.4× 94 1.0× 34 0.4× 153 2.1× 35 774

Countries citing papers authored by Andreas Theissler

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Theissler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Theissler

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Theissler. A scholar is included among the top collaborators of Andreas Theissler 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 Andreas Theissler. Andreas Theissler 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.
Theissler, Andreas, et al.. (2024). Enhancing Website Fraud Detection: A ChatGPT-Based Approach to Phishing Detection. OPUS (Aalen University). 1494–1495. 3 indexed citations
2.
Herth, Felix, et al.. (2024). Leveraging GenAI for an Intelligent Tutoring System for R: A Quantitative Evaluation of Large Language Models. OPUS (Aalen University). 1–9. 2 indexed citations
3.
Theissler, Andreas, et al.. (2024). Open-Source Text-to-Image Models: Evaluation using Metrics and Human Perception. OPUS (Aalen University). 35. 1659–1664.
4.
Theissler, Andreas, et al.. (2023). Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach. OPUS (Aalen University). 1045–1051.
5.
Theissler, Andreas, et al.. (2023). Blockchain for Supply Chain Management: A Literature Review and Open Challenges. Procedia Computer Science. 225. 1312–1321. 7 indexed citations
6.
Theissler, Andreas, et al.. (2022). XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series. Neural Computing and Applications. 35(14). 10051–10068. 34 indexed citations
7.
Theissler, Andreas, et al.. (2022). EduML: An explorative approach for students and lecturers in machine learning courses. 2022 IEEE Global Engineering Education Conference (EDUCON). 921–928. 3 indexed citations
8.
Theissler, Andreas, et al.. (2022). Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions. IEEE Access. 10. 100700–100724. 72 indexed citations
9.
Theissler, Andreas, et al.. (2022). Comparing Human Haptic Perception and Robotic Force/Torque Sensing in a Simulated Surgical Palpation Task. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 7825–7832. 1 indexed citations
10.
Theissler, Andreas, et al.. (2022). Visual Detection of Tiny and Transparent Objects for Autonomous Robotic Pick-and-Place Operations. 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). 1–4.
11.
Theissler, Andreas, Judith Pérez-Velázquez, Marcel Kettelgerdes, & Gordon Elger. (2021). Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry. Reliability Engineering & System Safety. 215. 107864–107864. 292 indexed citations breakdown →
12.
Atzmueller, Martin, et al.. (2021). Interpretable Machine Learning: A brief survey from the predictive maintenance perspective. OPUS (Aalen University). 1–8. 80 indexed citations
13.
Theissler, Andreas, et al.. (2020). VIAL-AD: Visual Interactive Labelling for Anomaly Detection - An Approach and Open Research Questions.. OPUS (Aalen University). 84–89. 4 indexed citations
14.
Theissler, Andreas, et al.. (2020). Evaluation of Machine Learning for Sensorless Detection and Classification of Faults in Electromechanical Drive Systems. Procedia Computer Science. 176. 1586–1595. 10 indexed citations
15.
Theissler, Andreas, et al.. (2020). The machine learning model as a guide. OPUS (Aalen University). 1–8. 9 indexed citations
16.
Theissler, Andreas, et al.. (2020). Cluster-clean-label. OPUS (Aalen University). 1–8. 7 indexed citations
17.
Theissler, Andreas, et al.. (2018). <inline-formula> <tex-math notation="LaTeX">$In\ Situ$ </tex-math> </inline-formula> Failure Detection of Electronic Control Units Using Piezoresistive Stress Sensor. IEEE Transactions on Components Packaging and Manufacturing Technology. 8(5). 750–763. 11 indexed citations
18.
Theissler, Andreas. (2014). Anomaly detection in recordongs from in-vehicle networks. Dialnet (Universidad de la Rioja). 23–37. 1 indexed citations
19.
Theissler, Andreas, et al.. (2013). Autonomously Determining The Parameters For Svdd With Rbf Kernel From A One-Class Training Set. Zenodo (CERN European Organization for Nuclear Research). 7(7). 949–957. 17 indexed citations
20.
Theissler, Andreas, et al.. (2013). An Anomaly Detection Approach To Detect Unexpected Faults In Recordings From Test Drives. Zenodo (CERN European Organization for Nuclear Research). 7(7). 958–965. 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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