Daniel Pape

30 papers receiving 264 citations

Peers

Daniel Pape
Comparison fields: 5 of 45
  • Linguistics and Language 103
  • Experimental and Cognitive Psychology 198
  • Language and Linguistics 45
  • Artificial Intelligence 133
  • Developmental and Educational Psychology 41
Replace Melanie Weirich with:
Melanie Weirich Germany
Katerina Nicolaidis Greece
Jos Pacilly Netherlands
Cédric Gendrot France
Thomas Kisler Germany
Ian Wilson Japan
Harriet S. Magen United States
Wentao Gu China
Jorge A. Gurlekian Argentina
Radek Skarnitzl Czechia
Daniel Pape relative to Melanie Weirich Germany Melanie Weirich's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Pape

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pape

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201251
2 201543
3 201220
4 201416
5
Devoicing of word-initial stops: A consequence of the following vowel.
200315
6 201713
7
Speech production after glossectomy and reconstructive lingual surgery: a longitudinal study.
200112
8 201910
9 201210
10 20119
11 20238
12 20148
13 20157
14 20157
15 20166
16 19886
17 20236
18 20194
19 20053
20 20143

About Daniel Pape

Daniel Pape is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence, Linguistics and Language, Physiology and Information Systems, having authored 34 papers that have together received 276 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (22 papers), Speech Recognition and Synthesis (14 papers), Linguistic Variation and Morphology (8 papers), Voice and Speech Disorders (4 papers), Speech and Audio Processing (4 papers), Linguistic Studies and Language Acquisition (3 papers), Neurobiology of Language and Bilingualism (3 papers) and Language Development and Disorders (2 papers). The work is most often cited by research in Linguistics and Language (103 citations), Experimental and Cognitive Psychology (198 citations), Language and Linguistics (45 citations), Artificial Intelligence (133 citations) and Developmental and Educational Psychology (41 citations). Daniel Pape has collaborated with scholars based in Germany, Portugal and Canada. Frequent co-authors include Luís M. T. Jesus, Pascal Perrier, Susanne Fuchs, Marzena Żygis, Melanie Weirich, Caterina Petrone, Marisa Lousada, Christine Mooshammer, Phil Hoole and Peter Birkholz. Their work appears in journals such as Journal of Phonetics, Speech Communication, Journal of the International Phonetic Association, The Journal of the Acoustical Society of America and Program electronic library and information systems.

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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