Daniel Boland

452 citations
14 papers · 380 · h-index 7

Impact in

Papers in

Daniel Boland

13 papers receiving 367 citations

Peers

Daniel Boland
Comparison fields: 5 of 60
  • Human-Computer Interaction 254
  • Computer Vision and Pattern Recognition 137
  • Cognitive Neuroscience 116
  • Information Systems and Management 16
  • Social Psychology 42
Replace Joanna Berzowska with:
Joanna Berzowska Canada
Dongheng Li China
Shigeaki Maruyama Japan
Julian Seifert Germany
Robert Walter Germany
Haipeng Mi China
Joonah Park South Korea
Mohamed Suhail United States
Matthew Warburton United Kingdom
Isabel P. S. Qamar United States
Daniel Boland relative to Joanna Berzowska Canada Joanna Berzowska's profile →
Citations per field
00.5×5.3×
Joanna Berzowska · 1×
Citations per year

Countries citing papers authored by Daniel Boland

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Boland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Daniel Boland, 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 Boland Line = papers co-authored together Daniel Boland links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2015219
2 201878
3 201518
4 201415
5 201112
6 20137
7 20157
8 20156
9
Using Simulated Input into Brain-Computer Interfaces for User-Centred Design
20116
10 20104
11 20143
12 20153
13
Oaths and Affirmations
19611
14
Inferring Music Selections for Casual Music Interaction
20131

About Daniel Boland

Daniel Boland is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing, Human-Computer Interaction and Automotive Engineering, having authored 14 papers that have together received 380 indexed citations. Recurring topics across this work include Music and Audio Processing (5 papers), Music Technology and Sound Studies (5 papers), Neuroscience and Music Perception (5 papers), Virtual Reality Applications and Impacts (3 papers), Augmented Reality Applications (3 papers), Interactive and Immersive Displays (2 papers), Neural and Behavioral Psychology Studies (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Human-Computer Interaction (254 citations), Computer Vision and Pattern Recognition (137 citations), Cognitive Neuroscience (116 citations), Information Systems and Management (16 citations) and Social Psychology (42 citations). Daniel Boland has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include Roderick Murray‐Smith, Mark McGill, Stephen Brewster, Niall McEvoy, Damien Hanlon, Jonathan N. Coleman, Sebastian Barwich, John Williamson, Michael Tangermann and Michele Tavella. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, 2D Materials, Medical Entomology and Zoology, XRDS Crossroads The ACM Magazine for Students and ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).

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.

Explore authors with similar magnitude of impact