Stephan Schmid

4.3k citations
204 papers · 3.2k · h-index 32

Impact in

Papers in

Stephan Schmid

168 papers receiving 3.0k citations

Peers

Stephan Schmid
Comparison fields: 5 of 143
  • Otorhinolaryngology 1.1k
  • Linguistics and Language 246
  • Immunology and Allergy 246
  • Surgery 766
  • Speech and Hearing 116
Replace Mark I. Singer with:
Mark I. Singer United States
Beverly Wang United States
H. Rudert Germany
Haruo Takahashi Japan
John M. Sorensen United States
Eric Blom United States
Claus Wittekindt Germany
John W. Werning United States
Martin Canis Germany
Jan Betka Czechia
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Citations per field
00.5×10×20×27.3×
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Citations per year

Countries citing papers authored by Stephan Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 204 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009300
2 2004202
3 2002149
4 2001114
5 2003110
6 2000106
7 2004100
8 199792
9 200186
10 200384
11 200278
12 199962
13 200960
14 200359
15 200158
16 199557
17 201256
18 200855
19 199749
20 200148

About Stephan Schmid

Stephan Schmid is a scholar working on Language and Linguistics, Experimental and Cognitive Psychology, Artificial Intelligence, Linguistics and Language and Otorhinolaryngology, having authored 204 papers that have together received 3.2k indexed citations. Recurring topics across this work include Phonetics and Phonology Research (49 papers), Linguistic Studies and Language Acquisition (41 papers), Linguistic research and analysis (29 papers), Linguistic Variation and Morphology (27 papers), Linguistic Education and Pedagogy (25 papers), Spanish Linguistics and Language Studies (22 papers), Head and Neck Cancer Studies (21 papers) and Linguistics and language evolution (11 papers). The work is most often cited by research in Otorhinolaryngology (1.1k citations), Linguistics and Language (246 citations), Immunology and Allergy (246 citations), Surgery (766 citations) and Speech and Hearing (116 citations). Stephan Schmid has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Sandro J. Stoeckli, Madeleine Pfaltz, Alexander Huber, Hans C. Steinert, Thomas Linder, P Huguenin, Kris S. Moe, Markus Sperandio, Markus Moser and Sarah Schmidt. Their work appears in journals such as The Laryngoscope, Head & Neck, Multilingua, Otolaryngology and Radiation Oncology.

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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