Peter Uhrig

556 total citations
24 papers, 177 citations indexed

About

Peter Uhrig is a scholar working on Artificial Intelligence, Language and Linguistics and Experimental and Cognitive Psychology. According to data from OpenAlex, Peter Uhrig has authored 24 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Language and Linguistics and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Peter Uhrig's work include Natural Language Processing Techniques (9 papers), Language, Metaphor, and Cognition (6 papers) and Syntax, Semantics, Linguistic Variation (6 papers). Peter Uhrig is often cited by papers focused on Natural Language Processing Techniques (9 papers), Language, Metaphor, and Cognition (6 papers) and Syntax, Semantics, Linguistic Variation (6 papers). Peter Uhrig collaborates with scholars based in Germany, United Kingdom and Spain. Peter Uhrig's co-authors include Thomas Proisl, Elnaz Shafaei-Bajestan, R. Harald Baayen, Andreas Maier, Malte R. Henningsen‐Schomers, Mark Turner, Rosario Tomasello, Martin Haller, Patrick Krauß and Thomas Herbst and has published in prestigious journals such as Language Resources and Evaluation, Language Cognition and Neuroscience and Frontiers in Communication.

In The Last Decade

Peter Uhrig

23 papers receiving 168 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Uhrig Germany 8 84 73 69 31 20 24 177
Matthijs Westera Netherlands 7 73 0.9× 43 0.6× 70 1.0× 17 0.5× 25 1.3× 21 155
Аndrej А. Kibrik Russia 7 104 1.2× 54 0.7× 49 0.7× 19 0.6× 29 1.4× 34 164
Yaron McNabb Netherlands 4 92 1.1× 54 0.7× 48 0.7× 32 1.0× 21 1.1× 11 155
Eleni Gregoromichelaki United Kingdom 9 137 1.6× 107 1.5× 111 1.6× 14 0.5× 17 0.8× 19 220
Patrick Georg Grosz Norway 9 163 1.9× 87 1.2× 82 1.2× 30 1.0× 15 0.8× 23 226
Haihua Pan Hong Kong 11 175 2.1× 87 1.2× 132 1.9× 36 1.2× 29 1.4× 28 271
Aris Xanthos Switzerland 6 50 0.6× 45 0.6× 89 1.3× 27 0.9× 90 4.5× 21 203
Gertraud Fenk-Oczlon Austria 8 80 1.0× 68 0.9× 70 1.0× 46 1.5× 25 1.3× 20 188
Gina M. Caucci United States 4 56 0.7× 132 1.8× 113 1.6× 21 0.7× 33 1.6× 6 239
Marc Tomlinson United States 9 34 0.4× 102 1.4× 156 2.3× 24 0.8× 52 2.6× 27 231

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-authorship network of co-authors of Peter Uhrig

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Uhrig. A scholar is included among the top collaborators of Peter Uhrig based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Uhrig. Peter Uhrig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shafaei-Bajestan, Elnaz, et al.. (2024). The pluralization palette: unveiling semantic clusters in English nominal pluralization through distributional semantics. Morphology. 34(4). 369–413. 2 indexed citations
2.
Pavlova, Irina, et al.. (2024). World futures through RT’s eyes: multimodal dataset and interdisciplinary methodology. Frontiers in Communication. 9. 1 indexed citations
3.
Ghaleb, Esam, Wim Pouw, Peter Uhrig, et al.. (2024). Co-Speech Gesture Detection through Multi-Phase Sequence Labeling. 3995–4003. 2 indexed citations
4.
Uhrig, Peter, et al.. (2023). Gesture retrieval and its application to the study of multimodal communication. International Journal on Digital Libraries. 25(4). 585–601.
5.
Sanchez‐Stockhammer, Christina & Peter Uhrig. (2023). “I’m gonna get totally and utterly X-ed.” Constructing drunkenness. 11(1). 121–150. 1 indexed citations
6.
Hinnell, Jennifer, et al.. (2022). The Red Hen Anonymizer and the Red Hen Protocol for de-identifying audiovisual recordings. Linguistics Vanguard. 9(1). 229–244. 1 indexed citations
7.
Uhrig, Peter. (2022). Hand gestures with verbs of throwing: Collostructions, style and metaphor. 10(1). 99–120. 4 indexed citations
8.
Shafaei-Bajestan, Elnaz, Peter Uhrig, & R. Harald Baayen. (2022). Making sense of spoken plurals. The Mental Lexicon. 17(3). 337–367. 6 indexed citations
9.
Shafaei-Bajestan, Elnaz, et al.. (2021). LDL-AURIS: a computational model, grounded in error-driven learning, for the comprehension of single spoken words. Language Cognition and Neuroscience. 38(4). 509–536. 10 indexed citations
10.
Uhrig, Peter. (2020). Creative intentions — The fine line between ‘creative’ and ‘wrong’. Cognitive Semiotics. 13(1). 11 indexed citations
11.
Herbst, Thomas & Peter Uhrig. (2020). The issue of specifying slots in argument structure constructions in terms of form and meaning. Belgian Journal of Linguistics. 34. 135–147. 2 indexed citations
12.
Schilling, Achim, Rosario Tomasello, Malte R. Henningsen‐Schomers, et al.. (2020). Analysis of continuous neuronal activity evoked by natural speech with computational corpus linguistics methods. Language Cognition and Neuroscience. 36(2). 167–186. 28 indexed citations
13.
Herbst, Thomas & Peter Uhrig. (2019). Towards a valency and argument structure constructicon of English: Turning the valency patternbank into a constructicon. Lexicographica - International Annual for Lexicography / Internationales Jahrbuch für Lexikographie. 35(2019). 87–104. 3 indexed citations
14.
Uhrig, Peter. (2018). Subjects in English. 6 indexed citations
15.
Evert, Stefan, et al.. (2017). E-VIEW-alation – a Large-scale Evaluation Study of Association Measures for Collocation Identification. Dialnet (Universidad de la Rioja). 531–549. 7 indexed citations
16.
Proisl, Thomas & Peter Uhrig. (2016). SoMaJo: State-of-the-art tokenization for German web and social media texts. 57–62. 18 indexed citations
17.
Uhrig, Peter. (2015). Why the Principle of No Synonymy is Overrated. Zeitschrift für Anglistik und Amerikanistik. 63(3). 323–337. 19 indexed citations
18.
Herbst, Thomas, et al.. (2013). Funktionswortklassen im Englischen-linguistische und lexikografische Perspektiven. 59–110. 1 indexed citations
19.
Proisl, Thomas & Peter Uhrig. (2012). Efficient Dependency Graph Matching with the IMS Open Corpus Workbench. Language Resources and Evaluation. 2750–2756. 3 indexed citations
20.
Uhrig, Peter & Thomas Proisl. (2012). Less hay, more needles – using dependency-annotated corpora to provide lexicographers with more accurate lists of collocation candidates. Lexicographica - International Annual for Lexicography / Internationales Jahrbuch für Lexikographie. 28(2012). 141–180. 4 indexed citations

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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