Tilman Schmoll

1.4k total citations
48 papers, 1.0k citations indexed

About

Tilman Schmoll is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Tilman Schmoll has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Biomedical Engineering, 30 papers in Radiology, Nuclear Medicine and Imaging and 25 papers in Ophthalmology. Recurrent topics in Tilman Schmoll's work include Optical Coherence Tomography Applications (39 papers), Retinal Imaging and Analysis (15 papers) and Glaucoma and retinal disorders (15 papers). Tilman Schmoll is often cited by papers focused on Optical Coherence Tomography Applications (39 papers), Retinal Imaging and Analysis (15 papers) and Glaucoma and retinal disorders (15 papers). Tilman Schmoll collaborates with scholars based in Austria, United States and Germany. Tilman Schmoll's co-authors include Rainer A. Leitgeb, Christoph Kolbitsch, Wolfgang Drexler, Cédric Blatter, Amardeep Singh, Branislav Grajciar, Angelika Unterhuber, Ursula Schmidt‐Erfurth, René M. Werkmeister and C. Ahlers and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Optics Letters.

In The Last Decade

Tilman Schmoll

43 papers receiving 999 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tilman Schmoll Austria 18 735 611 506 182 123 48 1.0k
Anna Szkulmowska Poland 15 606 0.8× 369 0.6× 342 0.7× 151 0.8× 34 0.3× 35 776
Boy Braaf Netherlands 14 486 0.7× 383 0.6× 368 0.7× 108 0.6× 29 0.2× 30 710
Karol Karnowski Poland 16 477 0.6× 346 0.6× 245 0.5× 112 0.6× 74 0.6× 40 724
James G. Fujimoto United States 6 811 1.1× 745 1.2× 872 1.7× 185 1.0× 19 0.2× 10 1.4k
Myeong Jin Ju Canada 18 524 0.7× 418 0.7× 462 0.9× 152 0.8× 19 0.2× 65 820
Yiheng Lim Japan 12 458 0.6× 282 0.5× 274 0.5× 153 0.8× 32 0.3× 38 588
Markus Sticker Austria 13 920 1.3× 616 1.0× 460 0.9× 422 2.3× 75 0.6× 25 1.3k
Lukas Reznicek Germany 17 226 0.3× 575 0.9× 762 1.5× 57 0.3× 41 0.3× 54 950
Peng Xiao China 12 242 0.3× 191 0.3× 161 0.3× 98 0.5× 98 0.8× 53 476
Bin Rao United States 10 317 0.4× 280 0.5× 309 0.6× 88 0.5× 30 0.2× 22 608

Countries citing papers authored by Tilman Schmoll

Since Specialization
Citations

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

Fields of papers citing papers by Tilman Schmoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tilman Schmoll

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

All Works

20 of 20 papers shown
1.
Wang, Tony, et al.. (2025). Context-Aware Real-Time Semantic View Expansion of Intraoperative 4D OCT. IEEE Transactions on Medical Imaging. 44(5). 2256–2269.
2.
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
3.
4.
Resch, Hemma, Stefan H. Steiner, Matthias Salas, et al.. (2024). Introduction and Validation of Low-Cost Ocular Biometry in Healthy and Cataractous Eyes Using a Thermally Tunable Swept-Source Laser. American Journal of Ophthalmology. 269. 172–180. 1 indexed citations
5.
Salas, Matthias, Hemma Resch, Clemens Vass, et al.. (2024). Exploring single-mode VCSEL wavelength tuning for low-cost 3D optical coherence tomography and OCT angiography. Biomedical Optics Express. 15(8). 4719–4719. 1 indexed citations
6.
Freytag, Alexander, et al.. (2023). Live 4D-OCT denoising with self-supervised deep learning. Scientific Reports. 13(1). 5760–5760. 10 indexed citations
7.
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
8.
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
9.
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
10.
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
11.
Nair, Aditya, et al.. (2021). 3D deep learning algorithm for denoising OCTA volumes acquired at 1.68 MHz A-scan-rate. Investigative Ophthalmology & Visual Science. 62(11). 65–65.
12.
Drexler, Wolfgang, et al.. (2021). MHz SS-OCT – from biometry to live volumetric imaging. Investigative Ophthalmology & Visual Science. 62(11). 43–43.
13.
Salas, Matthias, et al.. (2020). A clinical MHz swept-source OCT prototype for ultra-widefield imaging. Investigative Ophthalmology & Visual Science. 61(9). 1 indexed citations
14.
Salas, Matthias, et al.. (2019). Spiral Scanning OCT Angiography. Investigative Ophthalmology & Visual Science. 60(11). 1 indexed citations
15.
Schmoll, Tilman, Rick Williams, Matthias Salas, et al.. (2019). MHz Swept-Source OCT Angiography of the choriocapillaris. Investigative Ophthalmology & Visual Science. 60(9). 3078–3078. 1 indexed citations
16.
Ginner, Laurin, et al.. (2018). Holographic line field en-face OCT with digital adaptive optics in the retina in vivo. Biomedical Optics Express. 9(2). 472–472. 23 indexed citations
17.
Grajciar, Branislav, Tilman Schmoll, Cédric Blatter, et al.. (2015). Line-field parallel swept source MHz OCT for structural and functional retinal imaging. Biomedical Optics Express. 6(3). 716–716. 60 indexed citations
18.
Schmoll, Tilman, Angelika Unterhuber, Christoph Kolbitsch, et al.. (2012). Precise Thickness Measurements of Bowman's Layer, Epithelium, and Tear Film. Optometry and Vision Science. 89(5). E795–E802. 64 indexed citations
19.
Singh, Amardeep, Tilman Schmoll, Bahram Javidi, & Rainer A. Leitgeb. (2012). In-line reference-delayed digital holography using a low-coherence light source. Optics Letters. 37(13). 2631–2631. 6 indexed citations
20.
Kolbitsch, Christoph, Tilman Schmoll, & Rainer A. Leitgeb. (2009). Histogram‐based filtering for quantitative 3D retinal angiography. Journal of Biophotonics. 2(6-7). 416–425. 14 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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