Daniel Buschek

3.5k citations
85 papers · 1.5k indexed · h-index 20

Daniel Buschek

78 papers receiving 1.4k citations

Peers

Daniel Buschek
Comparison fields: 5 of 104
  • Human-Computer Interaction 674
  • Health Informatics 48
  • Applied Psychology 119
  • Signal Processing 166
  • Information Systems 329
Replace Massimo Zancanaro with:
Massimo Zancanaro Italy
Michael McTear United Kingdom
Jerry Alan Fails United States
Jo Vermeulen Denmark
Andreas Sonderegger Switzerland
Adam Fourney United States
Cosmin Munteanu Canada
Daniel Avrahami United States
Daniel Gonçalves Portugal
Celine Latulipe United States
Daniel Buschek relative to Massimo Zancanaro Italy Massimo Zancanaro's profile →
Citations per field
00.5×1.5×2.5×
Massimo Zancanaro · 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-authorship network

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
#Work
1 20250
2 20252
3 20250
4 20240
5 20247
6 20240
7 20240
8 202420
9 20242
10 20235
11 20233
12 20232
13 202346
14 20213
15
Chatbots for Experience Sampling-Initial Opportunities and Challenges
20212
16 202024
17 2020145
18
Dark Patterns of Explainability, Transparency, and User Control for Intelligent Systems.
201918
19
"Outsourcing" Security: Supporting People to Support Older Adults
20181
20 20172

About Daniel Buschek

Daniel Buschek is a scholar working on Human-Computer Interaction, Information Systems and Management, Health Informatics, Computer Vision and Pattern Recognition and Applied Psychology, having authored 85 papers that have together received 1.5k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (24 papers), Interactive and Immersive Displays (23 papers), User Authentication and Security Systems (12 papers), Personal Information Management and User Behavior (9 papers), Human-Automation Interaction and Safety (9 papers), Gaze Tracking and Assistive Technology (9 papers), Usability and User Interface Design (9 papers) and Data Visualization and Analytics (8 papers). The work is most often cited by research in Human-Computer Interaction (674 citations), Health Informatics (48 citations), Applied Psychology (119 citations), Signal Processing (166 citations) and Information Systems (329 citations). Daniel Buschek has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Florian Alt, Heinrich Hußmann, Alexander De Luca, Mariam Hassib, Malin Eiband, Lukas Mecke, Sarah Theres Völkel, Paweł W. Woźniak, Sylvia Rothe and Sarah Prange. 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, ACM Transactions on Interactive Intelligent Systems and European Journal of Personality.

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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