Daniel Leithinger

2.9k citations
61 papers · 2.2k · 1 hit paper · h-index 22

Impact in

Papers in

Daniel Leithinger

58 papers receiving 2.2k citations

Daniel Leithinger's Hit Papers

inFORM 2013 · 505 citations
5050+4+8Years since publication100200300400500

Peers

Daniel Leithinger
Comparison fields: 5 of 39
  • Human-Computer Interaction 813
  • Cognitive Neuroscience 174
  • Architecture 22
  • Computer Vision and Pattern Recognition 121
  • Mechanical Engineering 168
Replace Yasuaki Kakehi with:
Yasuaki Kakehi Japan
Liwei Chan Taiwan
Hsin-Liu Kao United States
Ken Nakagaki United States
Rong-Hao Liang Taiwan
Artem Dementyev United States
Leonardo Bonanni United States
Alexandra Ion United States
Kening Zhu Hong Kong
Maki Sugimoto Japan
Daniel Leithinger relative to Yasuaki Kakehi Japan Yasuaki Kakehi's profile →
Citations per field
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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 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
inFORM
Hit paper breakdown →
2013505
2 2012214
3 2014129
4 2010125
5 202097
6 201993
7 202084
8 201181
9 201680
10 201374
11 201562
12 201854
13 202053
14 202151
15 201548
16 201941
17 200640
18 201137
19 201534
20 200732

About Daniel Leithinger

Daniel Leithinger is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Social Psychology, Media Technology and Visual Arts and Performing Arts, having authored 61 papers that have together received 2.2k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (29 papers), Tactile and Sensory Interactions (3 papers), Innovative Human-Technology Interaction (2 papers), Social Robot Interaction and HRI (2 papers), Soft Robotics and Applications (2 papers), Teleoperation and Haptic Systems (1 paper), Virtual Reality Applications and Impacts (1 paper) and Advanced Optical Imaging Technologies (1 paper). The work is most often cited by research in Human-Computer Interaction (813 citations), Cognitive Neuroscience (174 citations), Architecture (22 citations), Computer Vision and Pattern Recognition (121 citations) and Mechanical Engineering (168 citations). Daniel Leithinger has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Hiroshi Ishii, Sean Follmer, Alex Olwal, Mark D. Gross, Ryo Suzuki, Nadia G. Cheng, Ellen Yi–Luen, Michael Haller, Dávid Lakatos and Clement Zheng. Their work appears in journals such as IEEE Computer Graphics and Applications, Lecture notes in computer science, Frontiers in Robotics and AI, DSpace@MIT (Massachusetts Institute of Technology) and Max Planck Digital Library.

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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