Daniel Leithinger

2.5k citations
47 papers · 1.5k indexed · 1 hit paper · h-index 17

Impact in

Papers in

Daniel Leithinger

45 papers receiving 1.5k citations

Hit Papers

inFORM 2013 · 412 citations
4122013202620172021100200300400

Peers

Daniel Leithinger
Comparison fields: 5 of 78
  • Human-Computer Interaction 1.2k
  • Cognitive Neuroscience 882
  • Computer Vision and Pattern Recognition 395
  • Mechanical Engineering 568
  • Architecture 20
Replace Yasuaki Kakehi with:
Yasuaki Kakehi Japan
Audrey Girouard Canada
Alexandra Ion United States
Paul Dietz United States
Fraser Anderson Canada
Markus Löchtefeld Denmark
Ken Nakagaki United States
Tevfik Metin Sezgin Türkiye
Hiroshi Ishii United States
Anne Roudaut United Kingdom
Daniel Leithinger relative to Yasuaki Kakehi Japan Yasuaki Kakehi's profile →
Citations per field
00.5×3.4×
Yasuaki Kakehi · 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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
inFORM
Hit paper breakdown →
2013412
2 2012183
3 2014112
4 2010107
5 201670
6 201169
7 201360
8 201557
9 201541
10 201837
11 201936
12 201135
13 201533
14 201531
15 200728
16 201718
17 201017
18 202315
19 200515
20 201814

About Daniel Leithinger

Daniel Leithinger is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Architecture and Computer Science Applications, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (34 papers), Tactile and Sensory Interactions (27 papers), Augmented Reality Applications (17 papers), Virtual Reality Applications and Impacts (11 papers), Human Motion and Animation (6 papers), Modular Robots and Swarm Intelligence (6 papers), Advanced Materials and Mechanics (3 papers) and Innovative Human-Technology Interaction (3 papers). The work is most often cited by research in Human-Computer Interaction (1.2k citations), Cognitive Neuroscience (882 citations), Computer Vision and Pattern Recognition (395 citations), Mechanical Engineering (568 citations) and Architecture (20 citations). Daniel Leithinger has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Hiroshi Ishii, Sean Follmer, Alex Olwal, Nadia Cheng, Dávid Lakatos, Ken Nakagaki, Michael Haller, Mark D. Gross, Ryo Suzuki and Amit Zoran. Their work appears in journals such as IEEE Computer Graphics and Applications, Frontiers in Robotics and AI, View, DSpace@MIT (Massachusetts Institute of Technology) and arXiv (Cornell University).

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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