Daniel Boland

442 citations
13 papers · 342 · h-index 6

Impact in

Papers in

Daniel Boland

13 papers receiving 331 citations

Peers

Daniel Boland
Comparison fields: 5 of 57
  • Human-Computer Interaction 229
  • Computer Vision and Pattern Recognition 119
  • Cognitive Neuroscience 105
  • Information Systems and Management 15
  • Social Psychology 36
Replace Dongheng Li with:
Dongheng Li China
Joanna Berzowska Canada
Shigeaki Maruyama Japan
Robert Walter Germany
Julian Seifert Germany
Hyunjoo Oh United States
Haipeng Mi China
Mohamed Suhail United States
Matthew Warburton United Kingdom
Isabel P. S. Qamar United States
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Citations per field
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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

13 of 13 papers shown
#Work
1 2015199
2 201874
3 201514
4 201414
5 201110
6 20137
7 20155
8
Using Simulated Input into Brain-Computer Interfaces for User-Centred Design
20115
9 20104
10 20154
11 20153
12 20142
13
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 13 papers that have together received 342 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (5 papers), Music Technology and Sound Studies (5 papers), Music and Audio Processing (5 papers), Virtual Reality Applications and Impacts (3 papers), Augmented Reality Applications (3 papers), EEG and Brain-Computer Interfaces (2 papers), Interactive and Immersive Displays (2 papers) and Neural and Behavioral Psychology Studies (2 papers). The work is most often cited by research in Human-Computer Interaction (229 citations), Computer Vision and Pattern Recognition (119 citations), Cognitive Neuroscience (105 citations), Information Systems and Management (15 citations) and Social Psychology (36 citations). Daniel Boland has collaborated with scholars based in United Kingdom, Switzerland and Ireland. Frequent co-authors include Roderick Murray‐Smith, Mark McGill, Stephen Brewster, Sebastian Barwich, Damien Hanlon, Niall McEvoy, Jonathan N. Coleman, John Williamson, Michael Tangermann and Serafeim Perdikis. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, 2D Materials, ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) and XRDS Crossroads The ACM Magazine for Students.

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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