Peter Uhrig

564 citations
24 papers · 184 · h-index 8

Impact in

Papers in

Peter Uhrig

23 papers receiving 178 citations

Peers

Peter Uhrig
Comparison fields: 5 of 33
  • Language and Linguistics 85
  • Experimental and Cognitive Psychology 77
  • Linguistics and Language 12
  • Artificial Intelligence 68
  • Developmental and Educational Psychology 21
Replace Yaron McNabb with:
Yaron McNabb Netherlands
Аndrej А. Kibrik Russia
Matthijs Westera Netherlands
Laurent Prévot France
Jesse Harris United States
Haihua Pan Hong Kong
Eleni Gregoromichelaki United Kingdom
Jérémy Zehr United States
Aris Xanthos Switzerland
Arne Lohmann Germany
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Citations per field
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Citations per year

Countries citing papers authored by Peter Uhrig

Since Specialization
Citations

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

Fields of papers citing papers by Peter Uhrig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202029
2 201827
3 201521
4 201618
5 201815
6 202011
7 202111
8 20227
9
E-VIEW-alation – a Large-scale Evaluation Study of Association Measures for Collocation Identification
20177
10 20186
11 20225
12 20205
13 20124
14 20243
15 20193
16 20123
17 20202
18 20242
19
Funktionswortklassen im Englischen-linguistische und lexikografische Perspektiven
20131
20 20241

About Peter Uhrig

Peter Uhrig is a scholar working on Artificial Intelligence, Language and Linguistics, Experimental and Cognitive Psychology, Developmental and Educational Psychology and Linguistics and Language, having authored 24 papers that have together received 184 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), Language, Metaphor, and Cognition (6 papers), Syntax, Semantics, Linguistic Variation (5 papers), Hearing Impairment and Communication (4 papers), Speech and dialogue systems (3 papers), Discourse Analysis in Language Studies (3 papers), Language, Discourse, Communication Strategies (2 papers) and Language and cultural evolution (2 papers). The work is most often cited by research in Language and Linguistics (85 citations), Experimental and Cognitive Psychology (77 citations), Linguistics and Language (12 citations), Artificial Intelligence (68 citations) and Developmental and Educational Psychology (21 citations). Peter Uhrig has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Thomas Proisl, Elnaz Shafaei-Bajestan, R. Harald Baayen, Malte R. Henningsen‐Schomers, Andreas Maier, Thomas Herbst, Achim Schilling, Rosario Tomasello, Mark Turner and Patrick Krauß. Their work appears in journals such as Zeitschrift für Anglistik und Amerikanistik, Language Cognition and Neuroscience, Linguistics Vanguard, The Mental Lexicon and International Journal on Digital Libraries.

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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