Daniel S. Mojon

105 papers receiving 2.6k citations

Daniel S. Mojon's Hit Papers

Adaptive local thresholding by verification-based multithreshold probing with application to vessel detection in retinal images 2003 · 586 citations
5860+7+15Years since publication100200300400500

Peers

Daniel S. Mojon
Comparison fields: 5 of 118
  • Ophthalmology 781
  • Pathology and Forensic Medicine 481
  • Radiology, Nuclear Medicine and Imaging 587
  • Physiology 322
  • Epidemiology 227
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Citations per field
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Citations per year

Countries citing papers authored by Daniel S. Mojon

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Mojon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Mojon. 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 Daniel S. Mojon. The network helps show where Daniel S. Mojon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Adaptive local thresholding by verification-based multithreshold probing with application to vessel detection in retinal images
Hit paper breakdown →
2003586
2 1999225
3 1997176
4 2002174
5 2000103
6 2002103
7 199997
8 199876
9 200869
10 200866
11 200962
12 200659
13 201049
14 201047
15 200434
16 200233
17 200229
18 200728
19 201028
20 200026

About Daniel S. Mojon

Daniel S. Mojon is a scholar working on Ophthalmology, Pathology and Forensic Medicine, Cognitive Neuroscience, Epidemiology and Psychiatry and Mental health, having authored 110 papers that have together received 2.8k indexed citations. Recurring topics across this work include Ophthalmology and Eye Disorders (26 papers), Glaucoma and retinal disorders (21 papers), Visual perception and processing mechanisms (13 papers), Ophthalmology and Visual Impairment Studies (13 papers), Mitochondrial Function and Pathology (7 papers), Obstructive Sleep Apnea Research (5 papers), Psychosomatic Disorders and Their Treatments (5 papers) and Retinal Diseases and Treatments (4 papers). The work is most often cited by research in Ophthalmology (781 citations), Pathology and Forensic Medicine (481 citations), Radiology, Nuclear Medicine and Imaging (587 citations), Physiology (322 citations) and Epidemiology (227 citations). Daniel S. Mojon has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Xiaoyi Jiang, Stefania Margherita Mojon-Azzi, Johannes Mathis, David Goldblum, Christian Walter Hess, Fritz Koerner, Claudio L. Bassetti, Johannes C. Fleischhauer, Alfonso Sousa‐Poza and Matthias Böhnke. Their work appears in journals such as Ophthalmologica, Graefe s Archive for Clinical and Experimental Ophthalmology, British Journal of Ophthalmology, Ophthalmology and Ophthalmic Research.

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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