Daniel Vogel

5.0k citations
117 papers · 2.9k indexed · h-index 26

Daniel Vogel

108 papers receiving 2.8k citations

Peers

Daniel Vogel
Comparison fields: 5 of 102
  • Human-Computer Interaction 2.4k
  • Cognitive Neuroscience 1.5k
  • Computer Vision and Pattern Recognition 921
  • Information Systems and Management 105
  • Computer Graphics and Computer-Aided Design 43
Replace Pourang Irani with:
Pourang Irani Canada
Sebastian Boring Denmark
Michael Rohs Germany
Chia Shen United States
Paul Dietz United States
Per Ola Kristensson United Kingdom
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Miguel A. Nacenta Canada
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Citations per year

Countries citing papers authored by Daniel Vogel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Vogel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202432
4 20240
5 20245
6 20240
7 20241
8 20232
9 20234
10 20233
11 20234
12 202318
13 20235
14 202313
15 20224
16 20191
17
Usability and Security Perceptions of Implicit Authentication: Convenient, Secure, Sometimes Annoying.
201534
18 201016
19 2008157
20 200677

About Daniel Vogel

Daniel Vogel is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 117 papers that have together received 2.9k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (78 papers), Tactile and Sensory Interactions (57 papers), Augmented Reality Applications (24 papers), Virtual Reality Applications and Impacts (19 papers), Hand Gesture Recognition Systems (18 papers), Gaze Tracking and Assistive Technology (12 papers), Innovative Human-Technology Interaction (9 papers) and Usability and User Interface Design (9 papers). The work is most often cited by research in Human-Computer Interaction (2.4k citations), Cognitive Neuroscience (1.5k citations) and Computer Vision and Pattern Recognition (921 citations). Daniel Vogel has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Ravin Balakrishnan, Patrick Baudisch, Géry Casiez, Fabrice Matulic, Mathieu Nancel, Aakar Gupta, Andy Cockburn, Urs Hengartner, Jaime Ruiz and Hassan Khan. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, IEEE Transactions on Visualization and Computer Graphics, Human-Computer Interaction, ACM Transactions on Computer-Human Interaction and International Journal of Human-Computer Studies.

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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