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

László G. Nyúl

RNMI

CVPR

OPHTH

PFM

Peter Stanchev United States

Domenico Tegolo Italy

Andrew J. Asman United States

P.E. Undrill United Kingdom

Sourabh Sharma India

Rui Bernardes Portugal

Fan Zhu China

Yufan He United States

Pantelis A. Asvestas Greece

Aldo Marzullo Italy

Peter Stanchev United States

László G. Nyúl

367 ×0.8

RNMI

225 ×0.5

CVPR

33 ×0.1

OPHTH

32 ×0.3

PFM

127 ×1.5

Citations per year, relative to László G. Nyúl László G. Nyúl (= 1×) peers Peter Stanchev

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

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20 of 20 papers shown

Körmöczi, László, et al.. (2025). Categorized and individualized behavioral phenotyping approaches for control and triple-hit schizophrenia-like model rats in acute and chronic reward-based systems: A pilot study. PLoS ONE. 20(8). e0328460–e0328460.

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

Kékesi, Gabriella, et al.. (2019). Automating, Analyzing and Improving Pupillometry with Machine Learning Algorithms. Acta Cybernetica. 24(2). 197–209. 1 indexed citations

Kékesi, Gabriella, et al.. (2018). Impaired pupillary control in “schizophrenia-like” WISKET rats. Autonomic Neuroscience. 213. 34–42. 10 indexed citations

Kékesi, Gabriella, et al.. (2017). Image Processing-based Automatic Pupillometry on Infrared Videos. Acta Cybernetica. 23(2). 599–613. 1 indexed citations

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

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

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

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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