Daniel Boland
- Human-Computer Interaction top 2%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience top 10%
- Materials Chemistry
- Social Psychology
- Co-authors
- Roderick Murray‐SmithMark McGillStephen BrewsterNiall McEvoyJonathan N. ColemanSebastian BarwichDamien HanlonJohn Williamson
- Topics
- Music and Audio Processing (5 papers)Music Technology and Sound Studies (5 papers)Neuroscience and Music Perception (5 papers)
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series2D MaterialsENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)
- Partner nations
- United KingdomSwitzerlandIreland
In The Last Decade
Daniel Boland
13 papers receiving 331 citations
Peers
Comparison fields: 5 of 57
- Human-Computer Interaction 229
- Computer Vision and Pattern Recognition 119
- Cognitive Neuroscience 105
- Materials Chemistry 65
- Social Psychology 36
Countries citing papers authored by Daniel Boland
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
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-authorship network of co-authors of Daniel Boland
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Boland. A scholar is included among the top collaborators of Daniel Boland based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Boland. Daniel Boland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 74 | |
| 2 | 14 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 199 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | Inferring Music Selections for Casual Music Interaction | 1 |
| 10 | 7 | |
| 11 | 10 | |
| 12 | Using Simulated Input into Brain-Computer Interfaces for User-Centred Design | 5 |
| 13 | 4 |
About Daniel Boland
Daniel Boland is a scholar working on Human-Computer Interaction, Signal Processing and Cognitive Neuroscience, having authored 13 papers that have together received 342 indexed citations. Recurring topics across this work include Music and Audio Processing (5 papers), Music Technology and Sound Studies (5 papers) and Neuroscience and Music Perception (5 papers). The work is most often cited by research in Human-Computer Interaction (229 citations), Computer Vision and Pattern Recognition (119 citations) and Cognitive Neuroscience (105 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, Niall McEvoy, Jonathan N. Coleman, Sebastian Barwich, Damien Hanlon, 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 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.