Peter Uhrig

556 citations
24 papers · 177 · h-index 8

Impact in

Papers in

Peter Uhrig

23 papers receiving 168 citations

Peers

Peter Uhrig
Comparison fields: 5 of 33
  • Language and Linguistics 84
  • Experimental and Cognitive Psychology 73
  • Linguistics and Language 12
  • Artificial Intelligence 69
  • Cognitive Neuroscience 31
Replace Yaron McNabb with:
Yaron McNabb Netherlands
Аndrej А. Kibrik Russia
Matthijs Westera Netherlands
Jesse Harris United States
Haihua Pan Hong Kong
Eleni Gregoromichelaki United Kingdom
Aris Xanthos Switzerland
Dingxu Shi Hong Kong
Robin Hörnig Germany
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 202028
2 201827
3 201519
4 201618
5 201815
6 202011
7 202110
8
E-VIEW-alation – a Large-scale Evaluation Study of Association Measures for Collocation Identification
20177
9 20186
10 20226
11 20205
12 20224
13 20124
14
Efficient Dependency Graph Matching with the IMS Open Corpus Workbench
20123
15 20193
16 20242
17 20202
18 20242
19
Funktionswortklassen im Englischen-linguistische und lexikografische Perspektiven
20131
20 20221

About Peter Uhrig

Peter Uhrig is a scholar working on Artificial Intelligence, Language and Linguistics, Experimental and Cognitive Psychology, Linguistics and Language and Developmental and Educational Psychology, having authored 24 papers that have together received 177 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Syntax, Semantics, Linguistic Variation (6 papers), Language, Metaphor, and Cognition (6 papers), Hearing Impairment and Communication (4 papers), Speech and dialogue systems (3 papers), Discourse Analysis in Language Studies (3 papers), Linguistic Variation and Morphology (3 papers) and Language, Discourse, Communication Strategies (2 papers). The work is most often cited by research in Language and Linguistics (84 citations), Experimental and Cognitive Psychology (73 citations), Linguistics and Language (12 citations), Artificial Intelligence (69 citations) and Cognitive Neuroscience (31 citations). Peter Uhrig has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Thomas Proisl, Elnaz Shafaei-Bajestan, R. Harald Baayen, Patrick Krauß, Andreas Maier, Rosario Tomasello, Achim Schilling, Martin Haller, Malte R. Henningsen‐Schomers and Mark Turner. Their work appears in journals such as Zeitschrift für Anglistik und Amerikanistik, Language Cognition and Neuroscience, Linguistics Vanguard, International Journal on Digital Libraries and The Mental Lexicon.

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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