László Szilágyi

7.2k total citations
310 papers, 5.3k citations indexed

About

László Szilágyi is a scholar working on Molecular Biology, Organic Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, László Szilágyi has authored 310 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 98 papers in Organic Chemistry and 43 papers in Computer Vision and Pattern Recognition. Recurrent topics in László Szilágyi's work include Carbohydrate Chemistry and Synthesis (69 papers), Medical Image Segmentation Techniques (29 papers) and Glycosylation and Glycoproteins Research (28 papers). László Szilágyi is often cited by papers focused on Carbohydrate Chemistry and Synthesis (69 papers), Medical Image Segmentation Techniques (29 papers) and Glycosylation and Glycoproteins Research (28 papers). László Szilágyi collaborates with scholars based in Hungary, Romania and United States. László Szilágyi's co-authors include Zoltán Györgydeák, Sándor Miklós Szilágyi, William J. Rutter, Lizbeth Hedstrom, László Gráf, Zoltán Benyó, Hartwig Adam, Katalin E. Kövér, Oleg Jardetzky and Erzsébet Ősz and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

László Szilágyi

293 papers receiving 5.2k citations

Peers

Countries citing papers authored by László Szilágyi

Since Specialization

Citations

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

Fields of papers citing papers by László Szilágyi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of László Szilágyi

This figure shows the co-authorship network connecting the top 25 collaborators of László Szilágyi. A scholar is included among the top collaborators of László Szilágyi 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 Szilágyi. László Szilágyi 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

#	Work	Indexed citations
1	Enhancing Brain Tumor Diagnosis with L-Net: A Novel Deep Learning Approach for MRI Image Segmentation and Classification 2024 ·Biomedicines ·(unknown), Levente Kovács, György Eigner, László Szilágyi	1
2	Reinforcement Learning: A Paradigm Shift in Personalized Blood Glucose Management for Diabetes 2024 ·Biomedicines ·(unknown), László Szilágyi, Levente Kovács, Andrea De Gaetano, György Eigner	7
3	Brain Tumor Classification Using Convolutional Neural Networks and Deep Learning 2024 ·(unknown), Levente Kovács, László Szilágyi	1
4	Mobile Application Development for Diabetes Patient 2024 ·(unknown), (unknown), (unknown), (unknown), (unknown), György Eigner, (unknown), Levente Kovács, László Szilágyi	1
5	Review of Reinforcement Learning-Based Control Algorithms in Artificial Pancreas Systems for Diabetes Mellitus Management 2024 ·(unknown), (unknown), György Eigner, Levente Kovács, László Szilágyi	1
6	AI-controlled training method for performance hardening or injury recovery in sports 2024 ·(unknown), Antonio Cuesta‐Vargas, László Szilágyi	10
7	Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks 2024 ·Sensors ·(unknown), Bárbara Simon, (unknown), Levente Kovács, Eva H. Dulf, László Szilágyi, György Eigner	2
8	Precognition of mental health and neurogenerative disorders using AI-parsed text and sentiment analysis 2023 ·SHILAP Revista de lepidopterología ·(unknown), Antonio Cuesta‐Vargas, László Szilágyi	6
9	A generalized fuzzy-possibilistic c-means clustering algorithm 2023 ·SHILAP Revista de lepidopterología ·(unknown), Levente Kovács, László Szilágyi	1
10	Machine Learning on Prediction of Relative Physical Activity Intensity Using Medical Radar Sensor and 3D Accelerometer 2023 ·Sensors ·(unknown), Sándor Miklós Szilágyi, László Szilágyi, Jaime Martín‐Martín, Antonio Cuesta‐Vargas	13
11	A feature selection strategy using Markov clustering, for the optimization of brain tumor segmentation from MRI data 2022 ·SHILAP Revista de lepidopterología ·(unknown), Levente Kovács, László Szilágyi	3
12	Brain Tumor Segmentation from Multi-Spectral Magnetic Resonance Image Data Using an Ensemble Learning Approach 2020 ·(unknown), (unknown), (unknown), Levente Kovács, László Szilágyi	2
13	Application of Fuzzy and Possibilistic c-Means Clustering Models in Blind Speaker Clustering 2015 ·Acta Polytechnica Hungarica ·Gábor Gosztolya, László Szilágyi, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	9
14	Fluorescence of a Histidine-Modified Enhanced Green Fluorescent Protein (EGFP) Effectively Quenched by Copper(II) Ions. Part II. Molecular Determinants 2015 ·Journal of Fluorescence ·(unknown), Mária Szabó, László Szilágyi, Szabolcs Lányi, (unknown)	7
15	Experimental and computational studies of ⁿJ(⁷⁷Se,¹H) selenium–proton couplings in selenoglycosides 2011 ·Magnetic Resonance in Chemistry ·Katalin E. Kövér, (unknown), Yury Yu. Rusakov, Leonid B. Krivdin, (unknown), László Szilágyi	25
16	Stery-hand: A new device to support hand disinfection 2010 ·PubMed ·László Szilágyi, (unknown), Melinda Nagy, Tamás Haidegger, Balázs Benyó, Zoltán Benyó	7
17	Sensibility analysis of the Arruda localization method 2006 ·PubMed ·Sándor Miklós Szilágyi, László Szilágyi, Zoltán Benyó	1
18	Myelin basic protein, an autoantigen in multiple sclerosis, is selectively processed by human trypsin 4 2005 ·FEBS Letters ·Peter G. Medveczky, József Antal, András Patthy, Katalin A. Kékesi, Gábor Juhász, László Szilágyi, László Gráf	35
19	The Role of the Individual Domains in the Structure and Function of the Catalytic Region of a Modular Serine Protease, C1r 2001 ·The Journal of Immunology ·József Kardos, Péter Gál, László Szilágyi, Nicole M. Thielens, Katalin Szilágyi, Zsolt Lőrincz, Péter István Kulcsár, László Gráf, Gérard J. Arlaud, Péter Závodszky	33
20	Isolation of the C-terminal peptides of rabbit skeletal myosin. 1978 ·Munich Personal RePEc Archive (Ludwig Maximilian University of Munich) ·(unknown), László Szilágyi	6

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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