Daniel Leithinger

2.6k citations
51 papers · 1.7k · 1 hit paper · h-index 19

Impact in

Papers in

Daniel Leithinger

50 papers receiving 1.7k citations

Daniel Leithinger's Hit Papers

inFORM 2013 · 458 citations
4580+4+8Years since publication100200300400

Peers

Daniel Leithinger
Comparison fields: 5 of 88
  • Human-Computer Interaction 1.3k
  • Cognitive Neuroscience 951
  • Computer Vision and Pattern Recognition 474
  • Mechanical Engineering 610
  • Architecture 22
Replace Alex Olwal with:
Alex Olwal United States
Yasuaki Kakehi Japan
Audrey Girouard Canada
Alexandra Ion United States
Sebastian Boring Germany
Markus Löchtefeld Denmark
Paul Dietz United States
Fraser Anderson Canada
Tevfik Metin Sezgin Türkiye
Anne Roudaut United Kingdom
Daniel Leithinger relative to Alex Olwal United States Alex Olwal's profile →
Citations per field
00.5×1.5×
Alex Olwal · 1×
Citations per year

Countries citing papers authored by Daniel Leithinger

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Leithinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
inFORM
Hit paper breakdown →
2013458
2 2012201
3 2014121
4 2010113
5 201674
6 201173
7 201363
8 201562
9 201544
10 201843
11 200640
12 201938
13 201134
14 201534
15 201532
16 200730
17 202323
18 201020
19 200619
20 201718

About Daniel Leithinger

Daniel Leithinger is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Mechanical Engineering and Control and Systems Engineering, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (37 papers), Tactile and Sensory Interactions (29 papers), Augmented Reality Applications (19 papers), Virtual Reality Applications and Impacts (13 papers), Human Motion and Animation (6 papers), Modular Robots and Swarm Intelligence (6 papers), Innovative Human-Technology Interaction (4 papers) and Teaching and Learning Programming (3 papers). The work is most often cited by research in Human-Computer Interaction (1.3k citations), Cognitive Neuroscience (951 citations), Computer Vision and Pattern Recognition (474 citations), Mechanical Engineering (610 citations) and Architecture (22 citations). Daniel Leithinger has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Hiroshi Ishii, Sean Follmer, Alex Olwal, Nadia Cheng, Michael Haller, Dávid Lakatos, Ken Nakagaki, Mark D. Gross, Ryo Suzuki and Thomas Seifried. Their work appears in journals such as IEEE Computer Graphics and Applications, Frontiers in Robotics and AI, Lecture notes in computer science, ArXiv.org and National University of Singapore.

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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