Andreas Theissler

51 total papers · 1.3k total citations
36 papers, 769 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 769 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, United States and Netherlands. Andreas Theissler's co-authors include Judith Pérez-Velázquez, Marcel Kettelgerdes, Gordon Elger, Martin Atzmueller, Udo Schlegel, Riccardo Guidotti, Michael Burch, Mark R. Thomas, Myra Spiliopoulou and Guo Qi Zhang 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 723 citations

Hit Papers

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Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andreas Theissler 279 246 93 83 73 36 769
Zhongyang Han 265 0.9× 162 0.7× 55 0.6× 99 1.2× 192 2.6× 35 845
Wenzhe Li 254 0.9× 123 0.5× 43 0.5× 44 0.5× 188 2.6× 52 744
Ning Yang 177 0.6× 144 0.6× 39 0.4× 35 0.4× 133 1.8× 53 750
Zhe Li 144 0.5× 276 1.1× 197 2.1× 34 0.4× 86 1.2× 42 751
Chongquan Zhong 163 0.6× 279 1.1× 59 0.6× 31 0.4× 112 1.5× 66 718
Yijun Cheng 173 0.6× 209 0.8× 25 0.3× 62 0.7× 93 1.3× 43 632
Jorge Freire de Sousa 209 0.7× 140 0.6× 42 0.5× 61 0.7× 146 2.0× 31 905
Wang Hu 317 1.1× 92 0.4× 210 2.3× 36 0.4× 71 1.0× 55 867
Jing Gao 143 0.5× 79 0.3× 54 0.6× 47 0.6× 102 1.4× 18 722
Antonio D. Masegosa 230 0.8× 178 0.7× 117 1.3× 60 0.7× 93 1.3× 49 851

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

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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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