Ralf-Peter Tornow

69 papers receiving 1.2k citations

Peers

Ralf-Peter Tornow
Comparison fields: 5 of 70
  • Ophthalmology 641
  • Structural Biology 57
  • Radiology, Nuclear Medicine and Imaging 467
  • Biomedical Engineering 307
  • Computer Vision and Pattern Recognition 132
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Charles J. Koester United States
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Citations per year

Countries citing papers authored by Ralf-Peter Tornow

Since Specialization
Citations

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

Fields of papers citing papers by Ralf-Peter Tornow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ralf-Peter Tornow. 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 Ralf-Peter Tornow. The network helps show where Ralf-Peter Tornow may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010181
2 2012141
3 2010121
4 200980
5 199675
6 201364
7 199463
8
Retinoschisislike alterations in the mouse eye caused by gene targeting of the Norrie disease gene.
199746
9 198738
10 201434
11 201229
12 199728
13 201022
14
Automatic Nerve Fiber Layer Segmentation and Geometry Correction on Spectral Domain OCT Images Using Fuzzy C-Means Clustering
200819
15 198717
16 199116
17 201615
18 201315
19 198915
20 201414

About Ralf-Peter Tornow

Ralf-Peter Tornow is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Human-Computer Interaction and Cognitive Neuroscience, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (40 papers), Retinal Imaging and Analysis (32 papers), Optical Coherence Tomography Applications (12 papers), Retinal Diseases and Treatments (8 papers), Retinal Development and Disorders (7 papers), Retinal and Optic Conditions (5 papers), Visual perception and processing mechanisms (5 papers) and Corneal surgery and disorders (4 papers). The work is most often cited by research in Ophthalmology (641 citations), Structural Biology (57 citations), Radiology, Nuclear Medicine and Imaging (467 citations), Biomedical Engineering (307 citations) and Computer Vision and Pattern Recognition (132 citations). Ralf-Peter Tornow has collaborated with scholars based in Germany, Czechia and United States. Frequent co-authors include Christian Yahya Mardin, Joachim Hornegger, Markus A. Mayer, Folkert Kurt Horn, Robert Laemmer, Friedrich Eduard Kruse, Christian Y. Mardin, Anselm G M Juenemann, Oleg Bostanjoglo and Jan Odstrčilík. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Biomedical Optics Express, Journal of Glaucoma, Vision Research and Graefe s Archive for Clinical and Experimental Ophthalmology.

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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