Richard Picking
Impact in
- Human-Computer Interaction top 10%
- Demography top 10%
- Technology Use by Older Adults
Papers in
-
- Music and Audio Processing 6
- Speech and Audio Processing 2
-
- Emotion and Mood Recognition 3
- Multisensory perception and integration 2
- Co-authors
- Stuart Cunningham (7 shared papers)Rubén Blasco (1 shared paper)Roberto Casas (1 shared paper)Álvaro Marco (1 shared paper)Jonathan Weinel (6 shared papers)Amit Roy (1 shared paper)Stephen G. Ellis (1 shared paper)Gordon F. Anderson (1 shared paper)
- Journals
- Future Internet (1 paper)Journal of New Music Research (1 paper)Leonardo Music Journal (1 paper)Personal and Ubiquitous Computing (1 paper)Behaviour and Information Technology (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Richard Picking
19 papers receiving 244 citations
Peers
Comparison fields: 5 of 78
- Human-Computer Interaction 26
- Demography 53
- Computer Vision and Pattern Recognition 81
- Signal Processing 40
- Experimental and Cognitive Psychology 35
Countries citing papers authored by Richard Picking
This map shows the geographic impact of Richard Picking'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 Richard Picking with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Picking more than expected).
Fields of papers citing papers by Richard Picking
This network shows the impact of papers produced by Richard Picking. 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 Richard Picking. The network helps show where Richard Picking may publish in the future.
Co-authors
The 18 scholars most cited alongside Richard Picking, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 90 | |
| 2 | 2020 | 34 | |
| 3 | 2020 | 23 | |
| 4 | 2019 | 22 | |
| 5 | 2009 | 20 | |
| 6 | 1997 | 19 | |
| 7 | 2017 | 13 | |
| 8 | 2021 | 10 | |
| 9 | 2017 | 7 | |
| 10 | 2018 | 6 | |
| 11 | 2018 | 4 | |
| 12 | 2019 | 4 | |
| 13 | 2014 | 3 | |
| 14 | 1994 | 3 | |
| 15 | 2012 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2012 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2019 | 0 |
About Richard Picking
Richard Picking is a scholar working on Signal Processing, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Social Psychology, having authored 20 papers that have together received 265 indexed citations. Recurring topics across this work include Music and Audio Processing (6 papers), Neuroscience and Music Perception (3 papers), Music Technology and Sound Studies (3 papers), Emotion and Mood Recognition (3 papers), Multisensory perception and integration (2 papers), Speech and Audio Processing (2 papers), Usability and User Interface Design (2 papers) and Information and Cyber Security (2 papers). The work is most often cited by research in Human-Computer Interaction (26 citations), Demography (53 citations), Computer Vision and Pattern Recognition (81 citations), Signal Processing (40 citations) and Experimental and Cognitive Psychology (35 citations). Richard Picking has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Stuart Cunningham, Rubén Blasco, Roberto Casas, Álvaro Marco, Jonathan Weinel, Amit Roy, Stephen G. Ellis, Gordon F. Anderson, Vic Grout and Sarah Edwards. Their work appears in journals such as Future Internet, Journal of New Music Research, Leonardo Music Journal, Personal and Ubiquitous Computing and Behaviour and Information Technology.
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.