Thomas Schlegl

6.7k total citations · 2 hit papers
86 papers, 2.7k citations indexed

About

Thomas Schlegl is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Thomas Schlegl has authored 86 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 21 papers in Control and Systems Engineering and 21 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Thomas Schlegl's work include Retinal Imaging and Analysis (16 papers), Robot Manipulation and Learning (15 papers) and Retinal Diseases and Treatments (13 papers). Thomas Schlegl is often cited by papers focused on Retinal Imaging and Analysis (16 papers), Robot Manipulation and Learning (15 papers) and Retinal Diseases and Treatments (13 papers). Thomas Schlegl collaborates with scholars based in Germany, Austria and United States. Thomas Schlegl's co-authors include Ursula Schmidt‐Erfurth, Georg Langs, Sebastian M. Waldstein, Philipp Seeböck, Hrvoje Bogunović, Bianca S. Gerendas, Amir Sadeghipour, Shivenes Shammugam, Dominika Podkowinski and Ana-Maria Philip and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Thomas Schlegl

85 papers receiving 2.6k 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.

f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks

2019 845 citations Thomas Schlegl, Philipp Seeböck et al. Medical Image Analysis profile →
Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning

2017 422 citations Thomas Schlegl, Sebastian M. Waldstein et al. Ophthalmology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Schlegl Germany	22	1.1k	810	745	407	354	86	2.7k
Md. Robiul Islam Bangladesh	24	405 0.4×	109 0.1×	289 0.4×	279 0.7×	255 0.7×	71	1.8k
Sebastian M. Waldstein Austria	33	3.8k 3.4×	3.6k 4.4×	793 1.1×	552 1.4×	524 1.5×	105	5.0k
V. Rajinikanth India	34	1.6k 1.4×	93 0.1×	1.5k 2.0×	1.4k 3.5×	355 1.0×	190	4.4k
Abdullah-Al Nahid Bangladesh	23	667 0.6×	57 0.1×	973 1.3×	521 1.3×	136 0.4×	85	2.2k
Joon Huang Chuah Malaysia	26	295 0.3×	71 0.1×	496 0.7×	458 1.1×	227 0.6×	116	2.2k
Joo‐Hwee Lim Singapore	30	1.0k 0.9×	897 1.1×	354 0.5×	1.9k 4.7×	139 0.4×	204	3.0k
Panos Liatsis United Kingdom	25	298 0.3×	75 0.1×	496 0.7×	422 1.0×	293 0.8×	160	2.2k
Qing Liu China	20	348 0.3×	196 0.2×	303 0.4×	481 1.2×	90 0.3×	121	1.4k
Beiji Zou China	24	802 0.7×	499 0.6×	324 0.4×	1.2k 2.9×	166 0.5×	189	2.1k

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-authorship network of co-authors of Thomas Schlegl

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Schlegl. A scholar is included among the top collaborators of Thomas Schlegl 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 Thomas Schlegl. Thomas Schlegl 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

Schlegl, Thomas, Wolfgang Drexler, Tilman Schmoll, et al.. (2024). Association of microaneurysms with retinal vascular alterations in patients with retinal vein occlusion. Canadian Journal of Ophthalmology. 60(3). e443–e450. 1 indexed citations

Schlegl, Thomas, et al.. (2024). A data-driven approach for the partial reconstruction of individual human molar teeth using generative deep learning. Frontiers in Artificial Intelligence. 7. 1339193–1339193. 6 indexed citations

Freytag, Alexander, et al.. (2023). Live 4D-OCT denoising with self-supervised deep learning. Scientific Reports. 13(1). 5760–5760. 10 indexed citations

Schlegl, Thomas, Irene Steiner, Stefan Sacu, et al.. (2023). Association of Diabetic Lesions and Retinal Nonperfusion Using Widefield Multimodal Imaging. Ophthalmology Retina. 7(12). 1042–1050. 9 indexed citations

Schlegl, Thomas, Irene Steiner, Gergely Nagy, et al.. (2023). Microaneurysm detection using high‐speed megahertz optical coherence tomography angiography in advanced diabetic retinopathy. Acta Ophthalmologica. 102(5). e687–e695. 2 indexed citations

Schlegl, Thomas, Ursula Schmidt‐Erfurth, Rainer A. Leitgeb, et al.. (2023). Multiple instance learning based classification of diabetic retinopathy in weakly-labeled widefield OCTA en face images. Scientific Reports. 13(1). 8713–8713. 9 indexed citations

Sisternes, Luís de, Thomas Schlegl, Ursula Schmidt‐Erfurth, et al.. (2022). Ultra-Widefield OCT Angiography. IEEE Transactions on Medical Imaging. 42(4). 1009–1020. 31 indexed citations

Schlegl, Thomas, Irene Steiner, Stefan Sacu, et al.. (2022). Detection of diabetic neovascularisation using single-capture 65°-widefield optical coherence tomography angiography. British Journal of Ophthalmology. 108(1). 91–97. 11 indexed citations

Kramer, Diether, et al.. (2020). Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine Learning. Studies in health technology and informatics. 271. 31–38. 4 indexed citations

10.

Schlegl, Thomas, Philipp Seeböck, Sebastian M. Waldstein, Georg Langs, & Ursula Schmidt‐Erfurth. (2019). f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks. Medical Image Analysis. 54. 30–44. 845 indexed citations breakdown →

11.

Schmidt‐Erfurth, Ursula, Hrvoje Bogunović, Sophie Klimscha, et al.. (2017). Machine learning to predict the individual progression of AMD from imaging biomarkers. Investigative Ophthalmology & Visual Science. 58(8). 3398–3398. 2 indexed citations

12.

Gerendas, Bianca S., Hrvoje Bogunović, Amir Sadeghipour, et al.. (2017). Computational image analysis for prognosis determination in DME. Vision Research. 139. 204–210. 37 indexed citations

13.

Schmidt‐Erfurth, Ursula, Hrvoje Bogunović, Amir Sadeghipour, et al.. (2017). Machine Learning to Analyze the Prognostic Value of Current Imaging Biomarkers in Neovascular Age-Related Macular Degeneration. Ophthalmology Retina. 2(1). 24–30. 135 indexed citations

14.

Schlegl, Thomas, Sebastian M. Waldstein, Hrvoje Bogunović, et al.. (2017). Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning. Ophthalmology. 125(4). 549–558. 422 indexed citations breakdown →

15.

Schlegl, Thomas, et al.. (2016). SmartWorkbench: Toward Adaptive and Transparent User Assistance in Industrial Human-Robot Applications. International Symposium on Robotics. 1–8. 4 indexed citations

16.

Kainberger, Franz, Anna L. Falkowski, Lena Hirtler, et al.. (2016). Musculoskeletal imaging in preventive medicine. Wiener Medizinische Wochenschrift. 166(1-2). 9–14. 1 indexed citations

17.

Schlegl, Thomas, Dominika Podkowinski, Sebastian M. Waldstein, et al.. (2015). Automatic segmentation and classification of intraretinal cystoid fluid and subretinal fluid in 3D-OCT using convolutional neural networks. Investigative Ophthalmology & Visual Science. 56(7). 5920–5920. 7 indexed citations

18.

Kost, Christoph, et al.. (2014). Modeling concept for renewable energy expansion and interaction in Europe: the case of Germany and Greece.. 3 indexed citations

19.

Schlegl, Thomas, András Jakab, Gregor Kasprian, et al.. (2014). The relationship between eye movement and vision develops before birth. Frontiers in Human Neuroscience. 8. 775–775. 20 indexed citations

20.

Schlegl, Thomas, et al.. (2014). Flexible, autonomous and wireless icing monitoring on aircrafts. 2 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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