Dominika Podkowinski

1.0k total citations · 1 hit paper
28 papers, 758 citations indexed

About

Dominika Podkowinski is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Dominika Podkowinski has authored 28 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Ophthalmology, 26 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Biomedical Engineering. Recurrent topics in Dominika Podkowinski's work include Retinal Imaging and Analysis (22 papers), Retinal Diseases and Treatments (21 papers) and Glaucoma and retinal disorders (15 papers). Dominika Podkowinski is often cited by papers focused on Retinal Imaging and Analysis (22 papers), Retinal Diseases and Treatments (21 papers) and Glaucoma and retinal disorders (15 papers). Dominika Podkowinski collaborates with scholars based in Austria, Germany and Singapore. Dominika Podkowinski's co-authors include Bianca S. Gerendas, Ursula Schmidt‐Erfurth, Sebastian M. Waldstein, Ana-Maria Philip, Hrvoje Bogunović, Georg Langs, Thomas Schlegl, Amir Sadeghipour, Matthias Bolz and Christian Simader and has published in prestigious journals such as PLoS ONE, Scientific Reports and Ophthalmology.

In The Last Decade

Dominika Podkowinski

28 papers receiving 745 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.

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
Dominika Podkowinski Austria	12	652	641	139	72	34	28	758
Ana-Maria Philip Austria	8	604 0.9×	539 0.8×	122 0.9×	78 1.1×	32 0.9×	11	649
Zaid Mammo Canada	15	610 0.9×	700 1.1×	190 1.4×	45 0.6×	23 0.7×	39	868
Eduardo B. Mariottoni United States	15	533 0.8×	544 0.8×	61 0.4×	45 0.6×	22 0.6×	28	612
Hiroki Enno Japan	10	373 0.6×	342 0.5×	50 0.4×	47 0.7×	27 0.8×	12	482
Hagar Khalid United Kingdom	12	528 0.8×	518 0.8×	48 0.3×	41 0.6×	47 1.4×	37	688
Fedra Hajizadeh Iran	16	575 0.9×	557 0.9×	211 1.5×	193 2.7×	32 0.9×	29	776
Jianyang Xie China	11	379 0.6×	279 0.4×	96 0.7×	130 1.8×	44 1.3×	31	497
Mark J. J. P. van Grinsven Netherlands	9	672 1.0×	547 0.9×	143 1.0×	228 3.2×	91 2.7×	17	823
Naofumi Ishitobi Japan	10	394 0.6×	350 0.5×	41 0.3×	48 0.7×	30 0.9×	13	470

Countries citing papers authored by Dominika Podkowinski

Since Specialization

Citations

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

Fields of papers citing papers by Dominika Podkowinski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominika Podkowinski

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

All Works

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20 of 20 papers shown

Sallo, Ferenc B., Andrea Montesel, Hend M. Ahmed, et al.. (2025). OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers. Scientific Data. 12(1). 267–267. 5 indexed citations

Strauß, Rupert W., et al.. (2023). Evaluating the Treatment of Diabetic Macular Edema with Aflibercept Based on a Regional Network of Ophthalmologic Care Givers. Journal of Ophthalmology. 2023(1). 3165965–3165965. 1 indexed citations

Podkowinski, Dominika, et al.. (2021). Early alterations in retinal microvasculature on swept-source optical coherence tomography angiography in acute central serous chorioretinopathy. Scientific Reports. 11(1). 3129–3129. 6 indexed citations

Podkowinski, Dominika, et al.. (2021). A Swept source optical coherence tomography angiography study: Imaging artifacts and comparison of non-perfusion areas with fluorescein angiography in diabetic macular edema. PLoS ONE. 16(4). e0249918–e0249918. 16 indexed citations

Mursch‐Edlmayr, Anna Sophie, Philipp Hermann, Helga Wagner, et al.. (2020). Prospective comparison of apex-centered vs standard pupil-centered femtosecond laser–assisted capsulotomy in cataract surgery. Journal of Cataract & Refractive Surgery. 47(5). 606–611. 3 indexed citations

Mursch‐Edlmayr, Anna Sophie, Nikolaus Luft, Dominika Podkowinski, et al.. (2019). Short‐term effect on the ocular circulation induced by unilateral intravitreal injection of aflibercept in age‐related maculopathy. Acta Ophthalmologica. 97(6). e927–e932. 10 indexed citations

Bolz, Matthias, et al.. (2019). Patterns of morphologic alteration correlate with vision in diabetic macular oedema: a cross‐sectional evaluation of patients using the SAVE II protocol. Acta Ophthalmologica. 98(4). e400–e406. 1 indexed citations

Mursch‐Edlmayr, Anna Sophie, Nikolaus Luft, Dominika Podkowinski, et al.. (2018). Laser speckle flowgraphy derived characteristics of optic nerve head perfusion in normal tension glaucoma and healthy individuals: a Pilot study. Scientific Reports. 8(1). 5343–5343. 31 indexed citations

Podkowinski, Dominika, Ana-Maria Philip, Wolf‐Dieter Vogl, et al.. (2018). Neuroretinal atrophy following resolution of macular oedema in retinal vein occlusion. British Journal of Ophthalmology. 103(1). 36–42. 15 indexed citations

10.

Podkowinski, Dominika, et al.. (2018). Morphologische retinale Charakteristika von Patienten mit einer Sehbehinderung infolge eines diabetischen Makulaödems. Der Ophthalmologe. 116(6). 563–568. 2 indexed citations

11.

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 →

12.

Klimscha, Sophie, Sebastian M. Waldstein, Thomas Schlegl, et al.. (2017). Spatial Correspondence Between Intraretinal Fluid, Subretinal Fluid, and Pigment Epithelial Detachment in Neovascular Age-Related Macular Degeneration. Investigative Ophthalmology & Visual Science. 58(10). 4039–4039. 31 indexed citations

13.

Podkowinski, Dominika, Christian Simader, Hrvoje Bogunović, et al.. (2017). Impact of B-Scan Averaging on Spectralis Optical Coherence Tomography Image Quality before and after Cataract Surgery. Journal of Ophthalmology. 2017. 1–8. 5 indexed citations

14.

Waldstein, Sebastian M., Alessio Montuoro, Dominika Podkowinski, et al.. (2017). Evaluating the impact of vitreomacular adhesion on anti-VEGF therapy for retinal vein occlusion using machine learning. Scientific Reports. 7(1). 2928–2928. 16 indexed citations

15.

Philip, Ana-Maria, Dominika Podkowinski, Eleonore Pablik, et al.. (2016). Presence of subretinal fluid at baseline preserves from photoreceptor alterations in diabetic macular edema and cystoid macular edema due to central retinal vein occlusion. 57(12). 4164–4164. 4 indexed citations

16.

Montuoro, Alessio, Sebastian M. Waldstein, Bianca S. Gerendas, et al.. (2016). Data driven discovery of anti-VEGF treatment response groups based on fully automatic vitreomacular interface segmentation. 57(12). 5944–5944. 1 indexed citations

17.

Podkowinski, Dominika, Jing Wu, Bianca S. Gerendas, et al.. (2015). The foveal shape is not predictive of visual acuity and treatment response in macular edema due to retinal vein occlusion. Investigative Ophthalmology & Visual Science. 56(7). 5927–5927. 1 indexed citations

18.

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

19.

Montuoro, Alessio, Sebastian M. Waldstein, Dominika Podkowinski, et al.. (2015). Automatic segmentation of the posterior vitreous boundary in retinal optical coherence tomography. Investigative Ophthalmology & Visual Science. 56(7). 5275–5275. 1 indexed citations

20.

Podkowinski, Dominika, et al.. (2014). Quantitative evaluation of Spectralis optical coherence tomography image quality with systematic variation of B-scan averaging before and after cataract surgery. Investigative Ophthalmology & Visual Science. 55(13). 4804–4804. 1 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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