László G. Nyúl

2.5k total citations
45 papers, 853 citations indexed

About

László G. Nyúl is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Information Systems. According to data from OpenAlex, László G. Nyúl has authored 45 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Information Systems. Recurrent topics in László G. Nyúl's work include Medical Image Segmentation Techniques (11 papers), Digital Image Processing Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (9 papers). László G. Nyúl is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), Digital Image Processing Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (9 papers). László G. Nyúl collaborates with scholars based in Hungary, United States and Austria. László G. Nyúl's co-authors include Jayaram K. Udupa, Jörg Meier, Rüdiger Bock, Joachim Hornegger, Georg Michelson, Yulin Ge, Dennis L. Kolson, Alexandre X. Falcão, Punam K. Saha and James S. Babb and has published in prestigious journals such as PLoS ONE, Radiology and Magnetic Resonance in Medicine.

In The Last Decade

László G. Nyúl

43 papers receiving 800 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
László G. Nyúl Hungary 13 461 440 281 118 85 45 853
Peter Stanchev United States 15 367 0.8× 225 0.5× 33 0.1× 32 0.3× 127 1.5× 75 987
Domenico Tegolo Italy 15 571 1.2× 547 1.2× 459 1.6× 12 0.1× 39 0.5× 89 1.1k
Andrew J. Asman United States 15 334 0.7× 371 0.8× 41 0.1× 48 0.4× 142 1.7× 35 754
P.E. Undrill United Kingdom 14 329 0.7× 247 0.6× 153 0.5× 10 0.1× 92 1.1× 35 697
Sourabh Sharma India 12 156 0.3× 168 0.4× 221 0.8× 23 0.2× 31 0.4× 32 506
Rui Bernardes Portugal 16 890 1.9× 169 0.4× 1.0k 3.7× 20 0.2× 255 3.0× 83 1.6k
Fan Zhu China 9 163 0.4× 107 0.2× 59 0.2× 11 0.1× 28 0.3× 20 536
Yufan He United States 16 592 1.3× 445 1.0× 233 0.8× 40 0.3× 338 4.0× 28 1.0k
Pantelis A. Asvestas Greece 17 205 0.4× 268 0.6× 46 0.2× 14 0.1× 142 1.7× 82 844
Aldo Marzullo Italy 12 143 0.3× 135 0.3× 17 0.1× 66 0.6× 117 1.4× 23 568

Countries citing papers authored by László G. Nyúl

Since Specialization
Citations

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

Fields of papers citing papers by László G. Nyúl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by László G. Nyúl. 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 László G. Nyúl. The network helps show where László G. Nyúl may publish in the future.

Co-authorship network of co-authors of László G. Nyúl

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

All Works

20 of 20 papers shown
1.
2.
Bodosi, Balázs, et al.. (2022). Sleep-Wake Rhythm and Oscillatory Pattern Analysis in a Multiple Hit Schizophrenia Rat Model (Wisket). Frontiers in Behavioral Neuroscience. 15. 799271–799271. 5 indexed citations
3.
Kékesi, Gabriella, et al.. (2019). Automating, Analyzing and Improving Pupillometry with Machine Learning Algorithms. Acta Cybernetica. 24(2). 197–209. 1 indexed citations
4.
Kékesi, Gabriella, et al.. (2018). Impaired pupillary control in “schizophrenia-like” WISKET rats. Autonomic Neuroscience. 213. 34–42. 10 indexed citations
5.
Kékesi, Gabriella, et al.. (2017). Image Processing-based Automatic Pupillometry on Infrared Videos. Acta Cybernetica. 23(2). 599–613. 1 indexed citations
6.
Nyúl, László G., et al.. (2017). An Approach to the Quantitative Assessment of Retinal Layer Distortions and Subretinal Fluid in SD-OCT Images. Acta Cybernetica. 23(2). 615–628. 2 indexed citations
7.
Nyúl, László G., et al.. (2017). Tracking changes in spatial frequency sensitivity during natural image processing in school age: an event-related potential study. Journal of Experimental Child Psychology. 166. 664–678. 2 indexed citations
8.
Nyúl, László G., et al.. (2015). Improved QR Code Localization Using Boosted Cascade of Weak Classifiers. Acta Cybernetica. 22(1). 21–33. 8 indexed citations
9.
Nyúl, László G., et al.. (2015). Electrophysiological correlates of top-down effects facilitating natural image categorization are disrupted by the attenuation of low spatial frequency information. International Journal of Psychophysiology. 100. 19–27. 9 indexed citations
10.
Nyúl, László G., et al.. (2014). Wlab of University of Szeged at LifeCLEF 2014 Plant Identification Task. CLEF (Working Notes). 1180. 685–692. 2 indexed citations
11.
Nyúl, László G., et al.. (2013). Barcode Detection with Uniform Partitioning and Distance Transformation. SZTE Publicatio Repozitórium (University of Szeged). 5 indexed citations
12.
Nyúl, László G., et al.. (2012). A Novel Method for Accurate and Efficient Barcode Detection with Morphological Operations. SZTE Publicatio Repozitórium (University of Szeged). 307–314. 24 indexed citations
13.
Nyúl, László G., et al.. (2008). Geometrical model-based segmentation of the organs of sight on CT images. Medical Physics. 35(2). 735–743. 28 indexed citations
14.
Kuba, Attila, László G. Nyúl, & Kálmán Palágyi. (2006). Discrete geometry for computer imagery : 13th international conference, DGCI 2006, Szeged, Hungary, October 25-27, 2006, proceedings. Springer eBooks. 1 indexed citations
15.
Kuba, Attila, László G. Nyúl, & Kálmán Palágyi. (2006). Discrete Geometry for Computer Imagery: 13th International Conference, DGCI 2006, Szeged, Hungary, October 25-27, 2006, Proceedings (Lecture Notes in Computer Science). Springer eBooks. 1 indexed citations
16.
Nyúl, László G., Jayaram K. Udupa, & Punam K. Saha. (2003). Incorporating a measure of local scale in voxel-based 3-D image registration. IEEE Transactions on Medical Imaging. 22(2). 228–237. 29 indexed citations
17.
Udupa, Jayaram K., et al.. (2003). 3DVIEWNIX-AVS: a software package for the separate visualization of arteries and veins in CE-MRA images. Computerized Medical Imaging and Graphics. 27(5). 351–362. 11 indexed citations
18.
Sorantin, Erich, Kálmán Palágyi, László G. Nyúl, et al.. (2002). Spiral-CT-based assessment of tracheal stenoses using 3-D-skeletonization. IEEE Transactions on Medical Imaging. 21(3). 263–273. 52 indexed citations
19.
Ge, Yulin, Robert I. Grossman, Jayaram K. Udupa, et al.. (2001). Brain Atrophy in Relapsing-Remitting Multiple Sclerosis: Fractional Volumetric Analysis of Gray Matter and White Matter. Radiology. 220(3). 606–610. 78 indexed citations
20.
Catalaa, I., Robert I. Grossman, Dennis L. Kolson, et al.. (2000). Multiple Sclerosis: Magnetization Transfer Histogram Analysis of Segmented Normal-appearing White Matter. Radiology. 216(2). 351–355. 54 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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