Daniel Buschek

3.8k citations
97 papers · 1.9k · h-index 24

Impact in

Papers in

Daniel Buschek

90 papers receiving 1.8k citations

Peers

Daniel Buschek
Comparison fields: 5 of 104
  • Human-Computer Interaction 802
  • Health Informatics 64
  • Applied Psychology 149
  • Signal Processing 203
  • Information Systems 403
Replace Michael McTear with:
Michael McTear United Kingdom
Jo Vermeulen Belgium
Andreas Sonderegger Switzerland
Daniel Avrahami United States
Adam Fourney United States
Jerry Alan Fails United States
Silvia Gabrielli Italy
Zoraida Callejas Spain
Joost Broekens Netherlands
Cosmin Munteanu Canada
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Citations per field
00.5×4.8×
Michael McTear · 1×
Citations per year

Countries citing papers authored by Daniel Buschek

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Buschek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020191
2 2019164
3 2017114
4 2015106
5 201792
6 201986
7 201985
8 202375
9 201962
10 201859
11 201947
12 201841
13 201937
14 202436
15 201834
16 201534
17 202029
18 202127
19 201626
20 202026

About Daniel Buschek

Daniel Buschek is a scholar working on Human-Computer Interaction, Sociology and Political Science, Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence, having authored 97 papers that have together received 1.9k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (26 papers), Innovative Human-Technology Interaction (25 papers), User Authentication and Security Systems (13 papers), Usability and User Interface Design (11 papers), Tactile and Sensory Interactions (10 papers), Gaze Tracking and Assistive Technology (10 papers), Data Visualization and Analytics (9 papers) and Human-Automation Interaction and Safety (9 papers). The work is most often cited by research in Human-Computer Interaction (802 citations), Health Informatics (64 citations), Applied Psychology (149 citations), Signal Processing (203 citations) and Information Systems (403 citations). Daniel Buschek has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Florian Alt, Heinrich Hußmann, Alexander De Luca, Mariam Hassib, Malin Eiband, Sarah Theres Völkel, Lukas Mecke, Sylvia Rothe, Paweł W. Woźniak and Clemens Stachl. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Proceedings of the ACM on Human-Computer Interaction, ACM Transactions on Computer-Human Interaction, International Journal of Human-Computer Studies and Virtual Reality.

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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