Thomas Schlegl

96 papers receiving 4.7k citations

Thomas Schlegl's Hit Papers

f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks 2019 · 1.1k citations
1.1k0+3+6Years since publication50010001.5k

Peers

Thomas Schlegl
Comparison fields: 5 of 160
  • Ophthalmology 733
  • Artificial Intelligence 2.3k
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Computer Vision and Pattern Recognition 948
  • Industrial and Manufacturing Engineering 411
Replace Philipp Seeböck with:
Philipp Seeböck Austria
Sebastian M. Waldstein Austria
Thomas P. Karnowski United States
Xiaomeng Li China
Romany Fouad Mansour Egypt
Mingchen Gao United States
Venkatesan Rajinikanth India
Gui‐Bin Bian China
Xin Yan Yang China
Lixin Duan China
Thomas Schlegl relative to Philipp Seeböck Austria Philipp Seeböck's profile →
Citations per field
00.5×10×20×30×40×49.5×
Philipp Seeböck · 1×
Citations per year

Countries citing papers authored by Thomas Schlegl

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Schlegl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
Hit paper breakdown →
20171688
2
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
Hit paper breakdown →
20191062
3
Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning
Hit paper breakdown →
2017483
4 2017156
5 2017150
6 2019119
7 2015104
8 202082
9 200576
10 201370
11 201454
12 201550
13 201948
14 202148
15 201745
16 202238
17 200235
18 201735
19 201732
20 201126

About Thomas Schlegl

Thomas Schlegl is a scholar working on Control and Systems Engineering, Radiology, Nuclear Medicine and Imaging, Mechanical Engineering, Ophthalmology and Biomedical Engineering, having authored 98 papers that have together received 4.9k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (20 papers), Teleoperation and Haptic Systems (14 papers), Retinal Imaging and Analysis (10 papers), Soft Robotics and Applications (10 papers), Electrical and Bioimpedance Tomography (9 papers), Retinal Diseases and Treatments (8 papers), Integrated Energy Systems Optimization (5 papers) and Robotic Mechanisms and Dynamics (4 papers). The work is most often cited by research in Ophthalmology (733 citations), Artificial Intelligence (2.3k citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Computer Vision and Pattern Recognition (948 citations) and Industrial and Manufacturing Engineering (411 citations). Thomas Schlegl has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Georg Langs, Ursula Margarethe Schmidt-Erfurth, Sebastian M. Waldstein, Philipp Seeböck, Hrvoje Bogunović, Bianca S. Gerendas, Amir Sadeghipour, Dominika Podkowinski, Ana-Maria Philip and MARTIN J. BUSS. Their work appears in journals such as Investigative Ophthalmology & Visual Science, SAE technical papers on CD-ROM/SAE technical paper series, Scientific Reports, Ophthalmology Retina and Journal of Cleaner Production.

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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