Gábor Németh

3.3k citations
101 papers · 1.6k · h-index 24

Impact in

Papers in

Gábor Németh

99 papers receiving 1.5k citations

Peers

Gábor Németh
Comparison fields: 5 of 102
  • Ophthalmology 371
  • Radiology, Nuclear Medicine and Imaging 757
  • Epidemiology 384
  • Computer Vision and Pattern Recognition 239
  • Computer Graphics and Computer-Aided Design 41
Replace Anthony N. Kuo with:
Anthony N. Kuo United States
Limin Luo China
Daniel B. Russakoff United States
Jin Tang China
Siamak Yousefi United States
Denis P. Shamonin Netherlands
David Alonso‐Caneiro Australia
P.E. Undrill United Kingdom
Andrew Mehnert Australia
Darvin Yi United States
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Citations per field
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Citations per year

Countries citing papers authored by Gábor Németh

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Németh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013114
2 2011106
3
Fully automatic liver segmentation for contrast-enhanced CT images
200776
4 201966
5 201664
6 200660
7 200760
8 201344
9 200744
10 201442
11 201140
12 201436
13 202031
14 201431
15 200630
16 201428
17 201926
18 201126
19 201724
20 201224

About Gábor Németh

Gábor Németh is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Epidemiology, Ophthalmology and Computer Graphics and Computer-Aided Design, having authored 101 papers that have together received 1.6k indexed citations. Recurring topics across this work include Corneal surgery and disorders (28 papers), Digital Image Processing Techniques (24 papers), Medical Image Segmentation Techniques (20 papers), Ophthalmology and Visual Impairment Studies (14 papers), Computational Geometry and Mesh Generation (12 papers), Medical Imaging Techniques and Applications (8 papers), Glaucoma and retinal disorders (7 papers) and Intraocular Surgery and Lenses (7 papers). The work is most often cited by research in Ophthalmology (371 citations), Radiology, Nuclear Medicine and Imaging (757 citations), Epidemiology (384 citations), Computer Vision and Pattern Recognition (239 citations) and Computer Graphics and Computer-Aided Design (41 citations). Gábor Németh has collaborated with scholars based in Hungary, United Kingdom and Norway. Frequent co-authors include László Módis, András Berta, Eszter Szalai, Ziad Hassan, Kálmán Palágyi, Alexis Tsorbatzoglou, Bence Lajos Kolozsvári, Attila Vajas, Adrienne Csutak and László Módis. Their work appears in journals such as European Journal of Ophthalmology, Journal of Cataract & Refractive Surgery, Cornea, Journal of Refractive Surgery and Ophthalmic surgery, lasers & imaging retina.

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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