Jan G. Švec

104 papers receiving 4.2k citations

Jan G. Švec's Hit Papers

Recommended Protocols for Instrumental Assessment of Voice: American Speech-Language-Hearing Association Expert Panel to Develop a Protocol for Instrumental Assessment of Vocal Function 2018 · 540 citations
5400+2+5Years since publication100200300400500

Peers

Jan G. Švec
Comparison fields: 5 of 123
  • Physiology 3.4k
  • Developmental Biology 249
  • Speech and Hearing 682
  • Experimental and Cognitive Psychology 1.2k
  • Signal Processing 663
Replace Brad H. Story with:
Brad H. Story United States
Eric J. Hunter United States
Ronald C. Scherer United States
Thomas Baer United States
Jörg Lohscheller Germany
Ulrich Eysholdt Germany
Ingo R. Titze United States
Anne-Maria Laukkanen Finland
Nathalie Henrich Bernardoni France
Daryush D. Mehta United States
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Citations per field
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Citations per year

Countries citing papers authored by Jan G. Švec

Since Specialization
Citations

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

Fields of papers citing papers by Jan G. Švec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan G. Švec. 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 Jan G. Švec. The network helps show where Jan G. Švec may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Recommended Protocols for Instrumental Assessment of Voice: American Speech-Language-Hearing Association Expert Panel to Develop a Protocol for Instrumental Assessment of Vocal Function
Hit paper breakdown →
2018540
2 1996269
3 2003224
4 2013159
5 2010153
6 2014145
7 2007131
8 2015126
9 2005125
10 2007118
11 2018114
12 1999104
13 200399
14 199897
15 201191
16 200586
17 201271
18 200770
19 201570
20 201866

About Jan G. Švec

Jan G. Švec is a scholar working on Physiology, Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing and Speech and Hearing, having authored 110 papers that have together received 4.3k indexed citations. Recurring topics across this work include Voice and Speech Disorders (86 papers), Speech Recognition and Synthesis (49 papers), Phonetics and Phonology Research (43 papers), Speech and Audio Processing (14 papers), Dysphagia Assessment and Management (13 papers), Music and Audio Processing (10 papers), Stuttering Research and Treatment (4 papers) and Diverse Musicological Studies (3 papers). The work is most often cited by research in Physiology (3.4k citations), Developmental Biology (249 citations), Speech and Hearing (682 citations), Experimental and Cognitive Psychology (1.2k citations) and Signal Processing (663 citations). Jan G. Švec has collaborated with scholars based in Czechia, United States and Netherlands. Frequent co-authors include Harm K. Schutte, Ingo R. Titze, Jaromı́r Horáček, Peter S. Popolo, Svante Granqvist, Christian T. Herbst, Anne-Maria Laukkanen, F. Šram, Donald G. Miller and Tanya L. Eadie. Their work appears in journals such as Journal of Voice, The Journal of the Acoustical Society of America, Journal of Speech Language and Hearing Research, Logopedics Phoniatrics Vocology and Biomedical Signal Processing and Control.

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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