Jiří Jan

1.7k citations
60 papers · 1.2k indexed · 1 hit paper · h-index 16

Jiří Jan

60 papers receiving 1.1k citations

Hit Papers

Retinal vessel segmentation by improved matched filtering...3262013202620172021100200300

Peers

Jiří Jan
Comparison fields: 5 of 111
  • Ophthalmology 336
  • Radiology, Nuclear Medicine and Imaging 660
  • Computer Vision and Pattern Recognition 343
  • Cognitive Neuroscience 221
  • Health Informatics 10
Replace Ahmed Shalaby with:
Ahmed Shalaby United States
Ali Mahmoud United States
Tan Tian Swee Malaysia
Mohamed Shaban United States
Abhijit Guha Roy Germany
Emanuele Torti Italy
Rui Feng China
William D. O’Neill United States
Ali M. Reza United States
Jiří Jan relative to Ahmed Shalaby United States Ahmed Shalaby's profile →
Citations per field
00.5×4.6×
Ahmed Shalaby · 1×
Citations per year

Countries citing papers authored by Jiří Jan

Since Specialization
Citations

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

Fields of papers citing papers by Jiří Jan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20232
3 20214
4 20212
5 20201
6 201875
7 201813
8 20173
9 20179
10 20159
11 201431
12
Time-of-Flight Based Calibration of an Ultrasonic Computed Tomography System
20125
13 201240
14
Analysis of retinal nerve fiber layer via Markov random fields in color fundus images
20127
15
Illumination correction and contrast equalization in colour fundus images
201110
16
A Public Database for the Evaluation of Fundus Image Segmentation Algorithms
201116
17
Retinal nerve fiber layer analysis via Markov random fields texture modelling
20109
18 201028
19 200820
20 20062

About Jiří Jan

Jiří Jan is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Geochemistry and Petrology, Environmental Chemistry and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (14 papers), Glaucoma and retinal disorders (10 papers), Medical Imaging Techniques and Applications (8 papers), Neural dynamics and brain function (8 papers), Medical Imaging and Analysis (7 papers), Functional Brain Connectivity Studies (7 papers), Medical Image Segmentation Techniques (6 papers) and Electrical and Bioimpedance Tomography (6 papers). The work is most often cited by research in Ophthalmology (336 citations), Radiology, Nuclear Medicine and Imaging (660 citations), Computer Vision and Pattern Recognition (343 citations), Cognitive Neuroscience (221 citations) and Health Informatics (10 citations). Jiří Jan has collaborated with scholars based in Czechia, Germany and United States. Frequent co-authors include Radim Kolář, Milan Brázdil, Vince D. Calhoun, Martin Havlíček, Jan Odstrčilík, Jirí Gazárek, Tomáš Kuběna, Attila Budai, Joachim Hornegger and Elli Angelopoulou. Their work appears in journals such as The Science of The Total Environment, NeuroImage, Journal of Soils and Sediments, Brain Topography and Aquatic Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026