Thilo Stadelmann

1.3k total citations · 1 hit paper
63 papers, 482 citations indexed

About

Thilo Stadelmann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Thilo Stadelmann has authored 63 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 19 papers in Signal Processing. Recurrent topics in Thilo Stadelmann's work include Music and Audio Processing (18 papers), Speech and Audio Processing (13 papers) and Speech Recognition and Synthesis (10 papers). Thilo Stadelmann is often cited by papers focused on Music and Audio Processing (18 papers), Speech and Audio Processing (13 papers) and Speech Recognition and Synthesis (10 papers). Thilo Stadelmann collaborates with scholars based in Switzerland, Germany and Italy. Thilo Stadelmann's co-authors include Oliver Dürr, Bernd Freisleben, Peng Yan, Benjamin F. Grewe, Ahmed Abdulkadir, Jürgen Schmidhuber, Mohammadreza Amirian, F.-P. Schilling, Ralph Ewerth and Mark Cieliebak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Thilo Stadelmann

57 papers receiving 452 citations

Hit Papers

align trajectories

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.

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

2024 70 citations Peng Yan, Ahmed Abdulkadir et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thilo Stadelmann Switzerland	12	251	187	112	38	33	63	482
Qiben Yan United States	10	183 0.7×	109 0.6×	42 0.4×	109 2.9×	108 3.3×	24	422
Michele Ianni Italy	9	279 1.1×	54 0.3×	51 0.5×	100 2.6×	66 2.0×	36	420
Hazem Raafat Canada	13	164 0.7×	117 0.6×	171 1.5×	47 1.2×	66 2.0×	38	451
Feyza Altunbey Özbay Türkiye	11	243 1.0×	120 0.6×	70 0.6×	20 0.5×	249 7.5×	26	549
Weize Chen China	3	226 0.9×	25 0.1×	67 0.6×	41 1.1×	45 1.4×	5	440
Hela Ltifi Tunisia	13	156 0.6×	38 0.2×	144 1.3×	43 1.1×	38 1.2×	64	424
Zonghan Yang China	4	307 1.2×	22 0.1×	100 0.9×	35 0.9×	52 1.6×	11	540
Chi-Min Chan China	4	254 1.0×	22 0.1×	81 0.7×	33 0.9×	43 1.3×	5	469
Haibin Zheng China	15	451 1.8×	89 0.5×	106 0.9×	96 2.5×	106 3.2×	68	658

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-authorship network of co-authors of Thilo Stadelmann

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Stadelmann, Thilo. (2025). Debate: Evidence-based AI risk assessment for public policy. Public Money & Management. 46(1). 5–7. 2 indexed citations

Abdulkadir, Ahmed, et al.. (2025). 3D Master-based Method for Optimizing the Cost Calculation of PBF-LB/M Manufactured Parts. BHM Berg- und Hüttenmännische Monatshefte. 170(3). 158–171.

Ali, Waqar, Sebastiano Vascon, Thilo Stadelmann, & Marcello Pelillo. (2025). Multi-view graph pooling via dominant sets for graph classification. Pattern Recognition. 172. 112786–112786.

Ali, Waqar, Sebastiano Vascon, Thilo Stadelmann, & Marcello Pelillo. (2024). Hierarchical Glocal Attention Pooling for Graph Classification. Pattern Recognition Letters. 186. 71–77. 1 indexed citations

Oswald, Martin R., et al.. (2024). Deep learning-based cell segmentation for rapid optical cytopathology of thyroid cancer. Scientific Reports. 14(1). 16389–16389. 2 indexed citations

Montoya‐Zegarra, Javier A., et al.. (2024). Real World Music Object Recognition. SHILAP Revista de lepidopterología. 7(1). 1–14. 2 indexed citations

Yan, Peng, et al.. (2024). A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions. IEEE Access. 12. 3768–3789. 70 indexed citations breakdown →

Grewe, Benjamin F., et al.. (2024). So you want your private LLM at home? A survey and benchmark of methods for efficient GPTs. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 205–212. 6 indexed citations

Yan, Peng, et al.. (2024). Automated process monitoring in injection molding via representation learning and setpoint regression. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 138–145. 1 indexed citations

10.

Stadelmann, Thilo, et al.. (2023). Deep ensemble inverse model for image-based estimation of solar cell parameters. SHILAP Revista de lepidopterología. 1(3). 5 indexed citations

11.

Amirian, Mohammadreza, Javier A. Montoya‐Zegarra, Peter Eggenberger Hotz, et al.. (2023). Mitigation of motion‐induced artifacts in cone beam computed tomography using deep convolutional neural networks. Medical Physics. 50(10). 6228–6242. 5 indexed citations

12.

Stadelmann, Thilo, et al.. (2023). Assessing deep learning: a work program for the humanities in the age of artificial intelligence. AI and Ethics. 5(1). 1–32. 5 indexed citations

13.

Amirian, Mohammadreza, et al.. (2021). Bias, awareness, and ignorance in deep-learning-based face recognition. AI and Ethics. 2(3). 509–522. 26 indexed citations

14.

Amirian, Mohammadreza, et al.. (2020). Design Patterns for Resource-Constrained Automated Deep-Learning Methods. SHILAP Revista de lepidopterología. 1(4). 510–538. 3 indexed citations

15.

Ewerth, Ralph, Steffen Heinz, Thilo Stadelmann, et al.. (2014). Eine service-orientierte Grid-Infrastruktur zur Unterstützung medienwissenschaftlicher Filmanalyse. Qucosa (Saxon State and University Library Dresden). 79–89.

16.

Stadelmann, Thilo, Kurt Stockinger, Martín Braschler, et al.. (2013). Applied data science in Europe : challenges for academia in keeping up with a highly demanded topic. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 6 indexed citations

17.

Mühling, Markus, Ralph Ewerth, Thilo Stadelmann, Bernd Freisleben, & Bing Shi. (2008). University of Marburg at TRECVID 2008: High-Level Feature Extraction.. TRECVID. 3 indexed citations

18.

Mühling, Markus, et al.. (2007). University of Marburg at TRECVID 2007: Shot Boundary Detection and High Level Feature Extraction. TRECVID. 10 indexed citations

19.

Ewerth, Ralph, et al.. (2006). University of Marburg at TRECVID 2006: Shot Boundary Detection and Rushes Task Results. TRECVID. 5 indexed citations

20.

Ewerth, Ralph, et al.. (2005). University of Marburg at TRECVID 2005: Shot Boundary Detection and Camera Motion Estimation Results. TRECVID. 7 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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