Dan Jackson

4.4k total citations · 2 hit papers
77 papers, 3.0k citations indexed

About

Dan Jackson is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Dan Jackson has authored 77 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Human-Computer Interaction, 17 papers in Computer Vision and Pattern Recognition and 11 papers in Sociology and Political Science. Recurrent topics in Dan Jackson's work include Innovative Human-Technology Interaction (10 papers), Interactive and Immersive Displays (9 papers) and Assistive Technology in Communication and Mobility (8 papers). Dan Jackson is often cited by papers focused on Innovative Human-Technology Interaction (10 papers), Interactive and Immersive Displays (9 papers) and Assistive Technology in Communication and Mobility (8 papers). Dan Jackson collaborates with scholars based in United Kingdom, Australia and United States. Dan Jackson's co-authors include Patrick Olivier, Stephen Lindsay, Gill Barry, Brook Galna, Lynn Rochester, Dadirayi Mhiripiri, Thomas Plötz, Cassim Ladha, Katie Brittain and Karim S. Ladha and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer.

In The Last Decade

Dan Jackson

73 papers receiving 2.9k citations

Hit Papers

Large Scale Population As... 2014 2026 2018 2022 2017 2014 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dan Jackson 671 550 465 431 401 77 3.0k
Aaron Bangor 1.5k 2.2× 207 0.4× 856 1.8× 353 0.8× 275 0.7× 6 5.5k
Hilaire J. Thompson 241 0.4× 297 0.5× 439 0.9× 345 0.8× 766 1.9× 175 5.0k
Panagiotis D. Bamidis 456 0.7× 412 0.7× 409 0.9× 321 0.7× 314 0.8× 416 6.2k
Pietro Cipresso 1.2k 1.8× 198 0.4× 485 1.0× 210 0.5× 153 0.4× 202 5.6k
Holly Jimison 208 0.3× 152 0.3× 442 1.0× 338 0.8× 372 0.9× 92 2.6k
Ilkka Korhonen 328 0.5× 640 1.2× 1.2k 2.5× 338 0.8× 153 0.4× 146 4.9k
Stuart Smith 169 0.3× 396 0.7× 208 0.4× 679 1.6× 185 0.5× 82 3.5k
Gearóid ÓLaighin 156 0.2× 492 0.9× 1.0k 2.2× 342 0.8× 174 0.4× 107 4.1k
Eric R. Muth 805 1.2× 535 1.0× 368 0.8× 622 1.4× 40 0.1× 104 3.6k
Stephen Intille 848 1.3× 1.2k 2.1× 2.3k 4.9× 988 2.3× 253 0.6× 146 6.5k

Countries citing papers authored by Dan Jackson

Since Specialization
Citations

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

Fields of papers citing papers by Dan Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Jackson

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Jackson. A scholar is included among the top collaborators of Dan Jackson 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 Dan Jackson. Dan Jackson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Jackson, Dan, et al.. (2023). Can wrist-worn devices and a smartphone application influence arm activity in children with unilateral cerebral palsy? A proof-of-concept study. SHILAP Revista de lepidopterología. 3. 1060191–1060191. 2 indexed citations
3.
Jackson, Dan, et al.. (2022). Wrist-Worn devices to encourage affected upper limb movement in unilateral cerebral palsy: Participatory design workshops. SHILAP Revista de lepidopterología. 3. 1021760–1021760. 4 indexed citations
4.
Small, Scott R., Sara Khalid, Paula Dhiman, et al.. (2021). Impact of Reduced Sampling Rate on Accelerometer-Based Physical Activity Monitoring and Machine Learning Activity Classification. Journal for the Measurement of Physical Behaviour. 4(4). 298–310. 23 indexed citations
5.
Stow, Daniel, I. Nicol Ferrier, Róisín McNaney, et al.. (2020). Deep learning-based automated speech detection as a marker of social functioning in late-life depression. Psychological Medicine. 51(9). 1441–1450. 23 indexed citations
6.
Sniehotta, Falko F., Elizabeth H. Evans, Kirby Sainsbury, et al.. (2019). Behavioural intervention for weight loss maintenance versus standard weight advice in adults with obesity: A randomised controlled trial in the UK (NULevel Trial). PLoS Medicine. 16(5). e1002793–e1002793. 41 indexed citations
7.
McNaney, Róisín, John Vines, Patrick Olivier, et al.. (2019). The feasibility and acceptability of using a novel wrist worn cueing device to self-manage drooling problems in people with Parkinson’s disease: A pilot study. Journal of Rehabilitation and Assistive Technologies Engineering. 6. 2482706417–2482706417. 10 indexed citations
8.
Rodgers, Helen, Lisa Shaw, Frederike van Wijck, et al.. (2018). Wristband accelerometers to motivate arm exercise after stroke (WAVES): Activity data from a pilot randomised controlled trial. Annals of Physical and Rehabilitation Medicine. 61. e31–e31. 1 indexed citations
9.
Doherty, Aiden, Dan Jackson, Nils Hammerla, et al.. (2017). Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study. PLoS ONE. 12(2). e0169649–e0169649. 790 indexed citations breakdown →
10.
O’Brien, John T., Peter Gallagher, Daniel Stow, et al.. (2016). A study of wrist-worn activity measurement as a potential real-world biomarker for late-life depression. Psychological Medicine. 47(1). 93–102. 56 indexed citations
11.
McNaney, Róisín, Madeline Balaam, Guy Schofield, et al.. (2015). Designing for and with people with Parkinson's. Human Factors in Computing Systems. 1 indexed citations
12.
Galna, Brook, Dan Jackson, Guy Schofield, et al.. (2014). Retraining function in people with Parkinson’s disease using the Microsoft kinect: game design and pilot testing. Journal of NeuroEngineering and Rehabilitation. 11(1). 60–60. 112 indexed citations
13.
Grześ, Marek, Jesse Hoey, Shehroz S. Khan, et al.. (2013). Relational approach to knowledge engineering for POMDP-based assistance systems as a translation of a psychological model. International Journal of Approximate Reasoning. 55(1). 36–58. 11 indexed citations
14.
Pham, Cuong, Clare Hooper, Stephen Lindsay, et al.. (2012). The ambient kitchen: a pervasive sensing environment for situated services. Lincoln Repository (University of Lincoln). 7 indexed citations
15.
Hooper, Clare, Anne Preston, Madeline Balaam, et al.. (2012). The french kitchen. 193–202. 27 indexed citations
16.
Robinson, Louise, Katie Brittain, Stephen Lindsay, Dan Jackson, & Patrick Olivier. (2009). Keeping In Touch Everyday (KITE) project: developing assistive technologies with people with dementia and their carers to promote independence. International Psychogeriatrics. 21(3). 494–502. 173 indexed citations
17.
Jackson, Dan & Martyn Thomas. (2007). Software for Dependable Systems: Sufficient Evidence?. National Academies Press eBooks. 74 indexed citations
18.
Blythe, PT, et al.. (2006). Assessing Future Traveller Information Systems. 1 indexed citations
19.
Jackson, Dan, et al.. (2003). Using interactive whiteboards in geography. 28(4). 183–185.
20.
Henderson, J. M., Con Yiannikas, John G. Morris, et al.. (1994). Postural Tremor of Parkinsonʼs Disease. Clinical Neuropharmacology. 17(3). 277–285. 36 indexed citations

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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