László Tóth

3.0k citations
161 papers · 2.2k · h-index 22

Impact in

Papers in

    • Speech Recognition and Synthesis 70
    • Natural Language Processing Techniques 13
    • Neural Networks and Applications 9
    • Speech and Audio Processing 55
    • Music and Audio Processing 37
    • Blind Source Separation Techniques 13

László Tóth

147 papers receiving 2.1k citations

Peers

László Tóth
Comparison fields: 5 of 172
  • Signal Processing 694
  • Artificial Intelligence 892
  • Experimental and Cognitive Psychology 172
  • Cognitive Neuroscience 248
  • Psychiatry and Mental health 155
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Citations per field
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Citations per year

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

20 of 20 papers shown

Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017203
2 2004168
3 2018140
4 201298
5 196497
6 201568
7 200466
8 201564
9 200362
10 201456
11 201355
12 200449
13 201738
14 201534
15 201333
16 201733
17 201632
18 201732
19 201430
20 201325

About László Tóth

László Tóth is a scholar working on Artificial Intelligence, Signal Processing, Biomedical Engineering, Computer Vision and Pattern Recognition and Molecular Biology, having authored 161 papers that have together received 2.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (70 papers), Speech and Audio Processing (55 papers), Music and Audio Processing (37 papers), Blind Source Separation Techniques (13 papers), Natural Language Processing Techniques (13 papers), Thermochemical Biomass Conversion Processes (10 papers), Hungarian Social, Economic and Educational Studies (10 papers) and Neural Networks and Applications (9 papers). The work is most often cited by research in Signal Processing (694 citations), Artificial Intelligence (892 citations), Experimental and Cognitive Psychology (172 citations), Cognitive Neuroscience (248 citations) and Psychiatry and Mental health (155 citations). László Tóth has collaborated with scholars based in Hungary, United States and India. Frequent co-authors include Gábor Gosztolya, Aurel A. Lazar, Tamás Grósz, Ildikó Hoffmann, Magdolna Pákáski, János Kálmán, Veronika Vincze, András Kocsor, Gréta Szatlóczki and Róbert Busa‐Fekete. Their work appears in journals such as Computer Speech & Language, Planta Medica, Lecture notes in computer science, Biofuels Bioproducts and Biorefining and Current Alzheimer Research.

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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