Igor Szöke

1.3k citations
52 papers · 1.0k · h-index 18

Impact in

    • Music and Audio Processing
    • Speech and Audio Processing
    • Time Series Analysis and Forecasting
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Speech and dialogue systems
    • Topic Modeling
    • Advanced Text Analysis Techniques

Papers in

    • Speech and Audio Processing 25
    • Music and Audio Processing 19
    • Time Series Analysis and Forecasting 4
    • Speech Recognition and Synthesis 37
    • Natural Language Processing Techniques 12
    • Speech and dialogue systems 9
    • Advanced Text Analysis Techniques 4
    • Topic Modeling 4

Igor Szöke

51 papers receiving 922 citations

Peers

Igor Szöke
Comparison fields: 5 of 56
  • Signal Processing 674
  • Artificial Intelligence 880
  • Computer Vision and Pattern Recognition 103
  • Information Systems 42
  • Cognitive Neuroscience 32
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Citations per field
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Citations per year

Countries citing papers authored by Igor Szöke

Since Specialization
Citations

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

Fields of papers citing papers by Igor Szöke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005125
2 201985
3 201383
4 200560
5
Working Notes Proceedings of the MediaEval 2022 Workshop
201655
6 200849
7
Query by Example Search on Speech at Mediaeval 2014.
201448
8 201245
9 201533
10 201524
11 201223
12
Fast Approximate Spoken Term Detection from Sequence of Phonemes
200823
13 201423
14 201422
15 201222
16 201421
17
Query by Example Search on Speech at Mediaeval 2015.
201520
18 202018
19 201517
20 200817

About Igor Szöke

Igor Szöke is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (37 papers), Speech and Audio Processing (25 papers), Music and Audio Processing (19 papers), Natural Language Processing Techniques (12 papers), Speech and dialogue systems (9 papers), Advanced Text Analysis Techniques (4 papers), Time Series Analysis and Forecasting (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Signal Processing (674 citations), Artificial Intelligence (880 citations), Computer Vision and Pattern Recognition (103 citations), Information Systems (42 citations) and Cognitive Neuroscience (32 citations). Igor Szöke has collaborated with scholars based in Czechia, United States and Spain. Frequent co-authors include Jaň Černocký, Lukáš Burget, Martin Karafiát, Michal Fapšo, Pavel Matějka, Petr Schwarz, František Grézl, Xavier Anguera, Florian Metze and Luis Javier Rodríguez-Fuentes. Their work appears in journals such as ACM Transactions on Information Systems, IEEE Journal of Selected Topics in Signal Processing, Lecture notes in computer science, Aerospace and MediaEval.

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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