László Tóth

3.0k citations

139 papers · 1.9k · h-index 22

Impact in

Signal Processing top 1%
- Speech and Audio Processing
- Music and Audio Processing
Artificial Intelligence top 2%
- Speech Recognition and Synthesis

Papers in

Artificial Intelligence 63
- Speech Recognition and Synthesis 55
- Natural Language Processing Techniques 10
Signal Processing 52
- Speech and Audio Processing 41
- Music and Audio Processing 24
- Blind Source Separation Techniques 12

Co-authors: Gábor Gosztolya (46 shared papers)Aurel A. Lazar (6 shared papers)János Kálmán (13 shared papers)Ildikó Hoffmann (13 shared papers)Magdolna Pákáski (13 shared papers)Veronika Vincze (9 shared papers)Tamás Grósz (17 shared papers)András Kocsor (13 shared papers)
Journals: Computer Speech & Language (4 papers)Planta Medica (3 papers)Clinical and Experimental Dermatology (2 papers)Current Alzheimer Research (2 papers)Energies (2 papers)
Partner nations: Hungary United States India

In The Last Decade

László Tóth

124 papers receiving 1.8k citations

Peers

Replace Visar Berisha with:

Visar Berisha United States

A. G. Ramakrishnan India

Chen Chen China

Feng Lin China

Hugo Gambôa Portugal

Fengyu Cong China

Archana Singh India

António Dourado Portugal

Ali Motie Nasrabadi Iran

Na Hu China

László Tóth relative to Visar Berisha United States Visar Berisha's profile →

Citations per field

00.5×1.7×

Visar Berisha · 1×

×1.7 551/316

SP

×1.3 748/588

AI

×0.9 303/329

CN

×0.4 212/472

PMH

×0.6 169/298

ECP

Citations per year

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Countries citing papers authored by László Tóth

Since Specialization

Citations

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

Fields of papers citing papers by László Tóth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	A Speech Recognition-based Solution for the Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech Current Alzheimer Research ·László Tóth, Ildikó Hoffmann, Gábor Gosztolya, Veronika Vincze, Gréta Szatlóczki, Zoltán Bánréti, Magdolna Pákáski, János Kálmán	2017	185
2	Perfect Recovery and Sensitivity Analysis of Time Encoded Bandlimited Signals IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications ·Aurel A. Lazar, László Tóth	2004	160
3	Identifying Mild Cognitive Impairment and mild Alzheimer’s disease based on spontaneous speech using ASR and linguistic features Computer Speech & Language ·Gábor Gosztolya, Veronika Vincze, László Tóth, Magdolna Pákáski, János Kálmán, Ildikó Hoffmann	2018	129
4	Effect of pH on stability and plasmonic properties of cysteine-functionalized silver nanoparticle dispersion Colloids and Surfaces B Biointerfaces ·Edit Csapó, Rita Patakfalvi, Viktória Hornok, László Tóth, Áron Sipos, Anikó Szalai, Mária Csete, Imre Dékány	2012	97
5	Studies on the structure of the vitreous body Experimental Eye Research ·Endre A. Balazs, László Tóth, E Eckl, Anja Mitchell	1964	78
6	Time encoding and perfect recovery of bandlimited signals 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). ·Aurel A. Lazar, László Tóth	2004	64
7	Automatic detection of mild cognitive impairment from spontaneous speech using ASR SZTE Publicatio Repozitórium (University of Szeged) ·László Tóth, Gábor Gosztolya, Veronika Vincze, Ildikó Hoffmann, Gréta Szatlóczki, Edit Magdolna Biró, Fruzsina Zsura, Magdolna Pákáski, János Kálmán	2015	63
8	The New Injury Severity Score Is a Better Predictor of Extended Hospitalization and Intensive Care Unit Admission Than the Injury Severity Score in Patients With Multiple Orthopaedic Injuries Journal of Orthopaedic Trauma ·Zsolt J. Balogh, Endre Varga, János Tomka, Gábor Süveges, László Tóth, János Aurél Simonka	2003	59
9	Phone recognition with hierarchical convolutional deep maxout networks EURASIP Journal on Audio Speech and Music Processing ·László Tóth	2015	53
10	Phone recognition with deep sparse rectifier neural networks SZTE Publicatio Repozitórium (University of Szeged) ·László Tóth	2013	47
11	Kernel-Based Feature Extraction with a Speech Technology Application IEEE Transactions on Signal Processing ·András Kocsor, László Tóth	2004	46
12	Combining time- and frequency-domain convolution in convolutional neural network-based phone recognition SZTE Publicatio Repozitórium (University of Szeged) ·László Tóth	2014	45
13	DNN-Based Ultrasound-to-Speech Conversion for a Silent Speech Interface Tamás Gábor Csapó, Tamás Grósz, Gábor Gosztolya, László Tóth, Alexandra Markó	2017	35
14	Cross-lingual portability of MLP-based tandem features - a case study for English and Hungarian SZTE Publicatio Repozitórium (University of Szeged) ·László Tóth, Joe Frankel, Gábor Gosztolya, Simon King	2008	31
15	Detecting autism, emotions and social signals using adaboost SZTE Publicatio Repozitórium (University of Szeged) ·Gábor Gosztolya, Róbert Busa‐Fekete, László Tóth	2013	31
16	Increasing the robustness of CNN acoustic models using autoregressive moving average spectrogram features and channel dropout Pattern Recognition Letters ·György Kovács, László Tóth, Dirk Van Compernolle, Sriram Ganapathy	2017	30
17	DNN-Based Feature Extraction and Classifier Combination for Child-Directed Speech, Cold and Snoring Identification SZTE Publicatio Repozitórium (University of Szeged) ·Gábor Gosztolya, Róbert Busa‐Fekete, Tamás Grósz, László Tóth	2017	30
18	Detecting Mild Cognitive Impairment from Spontaneous Speech by Correlation-Based Phonetic Feature Selection SZTE Publicatio Repozitórium (University of Szeged) ·Gábor Gosztolya, László Tóth, Tamás Grósz, Veronika Vincze, Ildikó Hoffmann, Gréta Szatlóczki, Magdolna Pákáski, János Kálmán	2016	28
19	Assessing the degree of nativeness and Parkinson's condition using Gaussian processes and deep rectifier neural networks SZTE Publicatio Repozitórium (University of Szeged) ·Tamás Grósz, Róbert Busa‐Fekete, Gábor Gosztolya, László Tóth	2015	26
20	Convolutional deep maxout networks for phone recognition László Tóth	2014	26

About László Tóth

László Tóth is a scholar working on Artificial Intelligence, Signal Processing, Biomedical Engineering, Molecular Biology and Geography, Planning and Development, having authored 139 papers that have together received 1.9k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (55 papers), Speech and Audio Processing (41 papers), Music and Audio Processing (24 papers), Blind Source Separation Techniques (12 papers), Natural Language Processing Techniques (10 papers), Thermochemical Biomass Conversion Processes (10 papers), Hungarian Social, Economic and Educational Studies (10 papers) and Dementia and Cognitive Impairment Research (7 papers). The work is most often cited by research in Signal Processing (551 citations), Artificial Intelligence (748 citations), Cognitive Neuroscience (303 citations), Psychiatry and Mental health (212 citations) and Experimental and Cognitive Psychology (169 citations). László Tóth has collaborated with scholars based in Hungary, United States and India. Frequent co-authors include Gábor Gosztolya, Aurel A. Lazar, János Kálmán, Ildikó Hoffmann, Magdolna Pákáski, Veronika Vincze, Tamás Grósz, András Kocsor, Gréta Szatlóczki and Róbert Busa‐Fekete. Their work appears in journals such as Computer Speech & Language, Planta Medica, Clinical and Experimental Dermatology, Current Alzheimer Research and Energies.

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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