Thilo Stadelmann

1.3k citations
63 papers · 482 indexed · 1 hit paper · h-index 12

Impact in

Papers in

Thilo Stadelmann

57 papers receiving 452 citations

Hit Papers

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions 2024 · 70 citations
70202420262025204060

Peers

Thilo Stadelmann
Comparison fields: 5 of 101
  • Signal Processing 187
  • Health Informatics 12
  • Artificial Intelligence 251
  • Computer Vision and Pattern Recognition 112
  • Computer Science Applications 17
Replace Qiben Yan with:
Qiben Yan United States
Waqas Ahmed Pakistan
Feyza Altunbey Özbay Türkiye
Michele Ianni Italy
Md Jobair Hossain Faruk United States
Shuai Lu China
Yiqi Wang China
Pedro Miguel Sánchez Sánchez Spain
Pei Ke China
Haibin Zheng China
Thilo Stadelmann relative to Qiben Yan United States Qiben Yan's profile →
Citations per field
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Qiben Yan · 1×
Citations per year

Countries citing papers authored by Thilo Stadelmann

Since Specialization
Citations

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

Fields of papers citing papers by Thilo Stadelmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
Hit paper breakdown →
202470
2 201669
3 201636
4 202126
5 201717
6 202117
7 202215
8 202115
9 201913
10 201013
11 200612
12 200911
13
University of Marburg at TRECVID 2007: Shot Boundary Detection and High Level Feature Extraction
200710
14 200910
15 20238
16
University of Marburg at TRECVID 2005: Shot Boundary Detection and Camera Motion Estimation Results
20057
17 20227
18
Applied data science in Europe : challenges for academia in keeping up with a highly demanded topic
20136
19 20246
20 20216

About Thilo Stadelmann

Thilo Stadelmann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Management Information Systems and Information Systems, having authored 63 papers that have together received 482 indexed citations. Recurring topics across this work include Music and Audio Processing (18 papers), Speech and Audio Processing (13 papers), Speech Recognition and Synthesis (10 papers), Video Analysis and Summarization (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Handwritten Text Recognition Techniques (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Big Data and Business Intelligence (4 papers). The work is most often cited by research in Signal Processing (187 citations), Health Informatics (12 citations), Artificial Intelligence (251 citations), Computer Vision and Pattern Recognition (112 citations) and Computer Science Applications (17 citations). Thilo Stadelmann has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Oliver Dürr, Bernd Freisleben, Peng Yan, Benjamin F. Grewe, Ahmed Abdulkadir, Jürgen Schmidhuber, Mohammadreza Amirian, Ralph Ewerth, F.-P. Schilling and Kurt Stockinger. Their work appears in journals such as IEEE Access, Pattern Recognition Letters, Scientific Reports, Medical Physics and Public Money & Management.

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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