Patrick Lühne

494 citations
15 papers · 372 · h-index 9

Impact in

Papers in

    • Logic, Reasoning, and Knowledge 5
    • AI-based Problem Solving and Planning 4
    • Logic, programming, and type systems 4
    • Multi-Agent Systems and Negotiation 2
    • Interactive and Immersive Displays 4
    • Virtual Reality Applications and Impacts 4

Patrick Lühne

13 papers receiving 360 citations

Peers

Patrick Lühne
Comparison fields: 5 of 54
  • Human-Computer Interaction 188
  • Computer Vision and Pattern Recognition 169
  • Cognitive Neuroscience 102
  • Media Technology 16
  • Artificial Intelligence 61
Replace Changuk Sohn with:
Changuk Sohn Canada
J. Schoening Germany
Gregory M. Corso United States
Nicolas Mollet France
Dieter Schmalstieg Austria
Takumi Toyama Germany
Andrea Ferracani Italy
Chris Dodge United States
Štefan Gheorghe Pentiuc Romania
Jorge C. S. Cardoso Portugal
Patrick Lühne relative to Changuk Sohn Canada Changuk Sohn's profile →
Citations per field
00.5×3.1×
Changuk Sohn · 1×
Citations per year

Countries citing papers authored by Patrick Lühne

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Lühne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201488
2 201359
3 201353
4 201137
5 201136
6 201336
7 202019
8 201914
9 20189
10 20147
11 20175
12 20145
13 20204
14 20140
15 20140

About Patrick Lühne

Patrick Lühne is a scholar working on Artificial Intelligence, Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Developmental and Educational Psychology, having authored 15 papers that have together received 372 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (5 papers), Interactive and Immersive Displays (4 papers), AI-based Problem Solving and Planning (4 papers), Virtual Reality Applications and Impacts (4 papers), Logic, programming, and type systems (4 papers), Educational Games and Gamification (2 papers), Multi-Agent Systems and Negotiation (2 papers) and Tactile and Sensory Interactions (2 papers). The work is most often cited by research in Human-Computer Interaction (188 citations), Computer Vision and Pattern Recognition (169 citations), Cognitive Neuroscience (102 citations), Media Technology (16 citations) and Artificial Intelligence (61 citations). Patrick Lühne has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Patrick Baudisch, Pedro Lopes, Lung-Pan Cheng, Marius Knaust, Christian Holz, Harald Sack, Christoph Meinel, Haojin Yang, Torsten Schaub and Daniel Hoffmann. Their work appears in journals such as Theory and Practice of Logic Programming, Lecture notes in computer science and KI - Künstliche Intelligenz.

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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