Bart Liefers

1.5k citations
28 papers · 870 · h-index 16

Impact in

Papers in

Bart Liefers

25 papers receiving 853 citations

Peers

Bart Liefers
Comparison fields: 5 of 77
  • Ophthalmology 609
  • Radiology, Nuclear Medicine and Imaging 696
  • Health Informatics 29
  • Computer Vision and Pattern Recognition 179
  • Biomedical Engineering 162
Replace Mark Christopher with:
Mark Christopher United States
Mark J. J. P. van Grinsven Netherlands
Dominika Podkowinski Austria
An Ran Ran Hong Kong
Ana-Maria Philip Austria
Minhaj Nur Alam United States
Pengxiao Zang United States
Ce Zheng China
Hagar Khalid United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Bart Liefers

Since Specialization
Citations

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

Fields of papers citing papers by Bart Liefers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019182
2 2018115
3 2017101
4 202160
5 202154
6 201853
7 202051
8 202147
9 202229
10 201727
11 202124
12 202121
13 202119
14 201917
15 202216
16 201915
17 202310
18 20246
19 20215
20 20245

About Bart Liefers

Bart Liefers is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Computer Vision and Pattern Recognition, Biomedical Engineering and Molecular Biology, having authored 28 papers that have together received 870 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (22 papers), Retinal Diseases and Treatments (15 papers), Glaucoma and retinal disorders (10 papers), Retinal and Optic Conditions (6 papers), Digital Imaging for Blood Diseases (5 papers), Optical Coherence Tomography Applications (4 papers), Medical Image Segmentation Techniques (2 papers) and Retinal Development and Disorders (2 papers). The work is most often cited by research in Ophthalmology (609 citations), Radiology, Nuclear Medicine and Imaging (696 citations), Health Informatics (29 citations), Computer Vision and Pattern Recognition (179 citations) and Biomedical Engineering (162 citations). Bart Liefers has collaborated with scholars based in Netherlands, Switzerland and United Kingdom. Frequent co-authors include Clara I. Sá‎nchez, Carel B. Hoyng, Bram van Ginneken, Freerk G. Venhuizen, Thomas Theelen, Sascha Fauser, María J. Ledesma‐Carbayo, Alfonso Antón, A. Santos and Gianluca Fatti. Their work appears in journals such as Biomedical Optics Express, Translational Vision Science & Technology, British Journal of Ophthalmology, Ophthalmology and Scientific Reports.

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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