Jirí Gazárek

621 total citations · 1 hit paper
9 papers, 420 citations indexed

About

Jirí Gazárek is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jirí Gazárek has authored 9 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ophthalmology, 9 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jirí Gazárek's work include Retinal Imaging and Analysis (9 papers), Glaucoma and retinal disorders (9 papers) and Digital Imaging for Blood Diseases (5 papers). Jirí Gazárek is often cited by papers focused on Retinal Imaging and Analysis (9 papers), Glaucoma and retinal disorders (9 papers) and Digital Imaging for Blood Diseases (5 papers). Jirí Gazárek collaborates with scholars based in Czechia and Germany. Jirí Gazárek's co-authors include Jan Odstrčilík, Radim Kolář, Jiří Jan, Tomáš Kuběna, Attila Budai, Elli Angelopoulou, Joachim Hornegger, Ondřej Svoboda, Markus A. Mayer and Robert Laemmer and has published in prestigious journals such as Computerized Medical Imaging and Graphics, Computational and Mathematical Methods in Medicine and IET Image Processing.

In The Last Decade

Jirí Gazárek

8 papers receiving 399 citations

Hit Papers

align trajectories sort by overperformance

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.

Retinal vessel segmentation by improved matched filtering: evaluation on a new high‐resolution fundus image database

2013 326 citations Jan Odstrčilík, Radim Kolář et al. IET Image Processing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jirí Gazárek Czechia	7	408	319	264	20	13	9	420
Tomáš Kuběna Czechia	7	382 0.9×	300 0.9×	241 0.9×	18 0.9×	12 0.9×	10	407
Harihar Narasimha-Iyer United States	6	306 0.8×	236 0.7×	166 0.6×	12 0.6×	20 1.5×	12	352
Sheila C Nemeth United States	10	300 0.7×	242 0.8×	108 0.4×	34 1.7×	12 0.9×	38	351
Sudeshna Sil Kar United States	9	309 0.8×	243 0.8×	141 0.5×	41 2.0×	23 1.8×	24	324
Anatol Maier Germany	5	395 1.0×	271 0.8×	279 1.1×	18 0.9×	16 1.2×	10	455
Pavle Prentašić Croatia	7	383 0.9×	281 0.9×	218 0.8×	52 2.6×	44 3.4×	12	428
Ebenezer Kojo Gyesi Mensah United States	2	379 0.9×	316 1.0×	171 0.6×	37 1.9×	10 0.8×	10	388
Gilberto Zamora United States	11	254 0.6×	204 0.6×	132 0.5×	16 0.8×	54 4.2×	34	360
Pingbo Ouyang China	9	169 0.4×	168 0.5×	105 0.4×	22 1.1×	14 1.1×	22	319
Lama Séoud Canada	9	291 0.7×	214 0.7×	157 0.6×	47 2.4×	55 4.2×	16	377

Countries citing papers authored by Jirí Gazárek

Since Specialization

Citations

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

Fields of papers citing papers by Jirí Gazárek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jirí Gazárek

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Odstrčilík, Jan, Radim Kolář, R. P. Tornow, et al.. (2014). Thickness related textural properties of retinal nerve fiber layer in color fundus images. Computerized Medical Imaging and Graphics. 38(6). 508–516. 31 indexed citations

2.

Odstrčilík, Jan, Radim Kolář, Attila Budai, et al.. (2013). Retinal vessel segmentation by improved matched filtering: evaluation on a new high‐resolution fundus image database. IET Image Processing. 7(4). 373–383. 326 indexed citations breakdown →

3.

Kolář, Radim, Ralf P. Tornow, Robert Laemmer, et al.. (2013). Analysis of Visual Appearance of Retinal Nerve Fibers in High Resolution Fundus Images: A Study on Normal Subjects. Computational and Mathematical Methods in Medicine. 2013. 1–10. 10 indexed citations

4.

Odstrčilík, Jan, et al.. (2012). Analysis of retinal nerve fiber layer via Markov random fields in color fundus images. International Conference on Systems, Signals and Image Processing. 504–507. 7 indexed citations

5.

Odstrčilík, Jan, et al.. (2012). Retinal image analysis aimed at blood vessel tree segmentation and early detection of neural-layer deterioration. Computerized Medical Imaging and Graphics. 36(6). 431–441. 24 indexed citations

6.

Kolář, Radim, et al.. (2011). Fusion based analysis of ophthalmologic image data.. Kybernetika. 47(3). 455–481.

7.

Gazárek, Jirí, Jiří Jan, Radim Kolář, & Jan Odstrčilík. (2011). Retinal nerve fibre layer detection in fundus camera images compared to results from optical coherence tomography. 1–5. 7 indexed citations

8.

Odstrčilík, Jan, et al.. (2010). Retinal nerve fiber layer analysis via Markov random fields texture modelling. European Signal Processing Conference. 1650–1654. 9 indexed citations

9.

Gazárek, Jirí, et al.. (2009). Retinal image analysis aimed at support of early neural-layer deterioration diagnosis. 6514. 1–4. 6 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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