Uli Sauerland

6.2k citations
93 papers · 2.3k indexed · 2 hit papers · h-index 24

Impact in

Papers in

Uli Sauerland

81 papers receiving 1.9k citations

Hit Papers

Risks and Benefits of Large Language Models for the Environment 2023 · 135 citations
1352004202620112018100200300

Peers

Uli Sauerland
Comparison fields: 5 of 107
  • Language and Linguistics 1.6k
  • Linguistics and Language 308
  • Philosophy 426
  • Experimental and Cognitive Psychology 496
  • Artificial Intelligence 1.0k
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Citations per year

Countries citing papers authored by Uli Sauerland

Since Specialization
Citations

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

Fields of papers citing papers by Uli Sauerland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20242
4 20240
5 20225
6 202115
7 20201
8 20193
9
The Acquisition of Disjunctions: Evidence from German Children
20185
10 201819
11 20176
12 201713
13
A contest of strength: or versus either–or
20163
14 201317
15
Semantics and Pragmatics: From Experiment to Theory
200926
16
Genitive Quantifiers in Japanese as Reverse Partitives
20040
17
On Embedded Implicatures
200415
18
The interpretive tract : working papers in syntax and semantics
19981
19
Illusive Scope of Universal Quantifiers
199723
20
Formal approaches to Japanese linguistics 2 : proceedings of the Second Conference on Formal Approaches to Japanese Linguistics
19960

About Uli Sauerland

Uli Sauerland is a scholar working on Language and Linguistics, Linguistics and Language, Philosophy, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 93 papers that have together received 2.3k indexed citations. Recurring topics across this work include Syntax, Semantics, Linguistic Variation (50 papers), Natural Language Processing Techniques (29 papers), Linguistics and Discourse Analysis (13 papers), Language, Discourse, Communication Strategies (12 papers), Advanced Algebra and Logic (11 papers), Logic, Reasoning, and Knowledge (8 papers), Linguistic Variation and Morphology (8 papers) and Language, Metaphor, and Cognition (7 papers). The work is most often cited by research in Language and Linguistics (1.6k citations), Linguistics and Language (308 citations), Philosophy (426 citations), Experimental and Cognitive Psychology (496 citations) and Artificial Intelligence (1.0k citations). Uli Sauerland has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Hans‐Martin Gärtner, Paul Elbourne, Sigrid Beck, Stephanie Solt, Kazuko Yatsushiro, Matthias C. Rillig, Kenneth A. Gould, Mohan Bi, Marlene Ågerstrand and Chris Cummins. Their work appears in journals such as Linguistic Inquiry, Natural Language Semantics, Theoretical Linguistics, Language Acquisition and Frontiers in Psychology.

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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