Shane MacDonald

822 total citations
32 papers, 568 citations indexed

About

Shane MacDonald is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Pharmacology. According to data from OpenAlex, Shane MacDonald has authored 32 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 8 papers in Experimental and Cognitive Psychology and 6 papers in Pharmacology. Recurrent topics in Shane MacDonald's work include EEG and Brain-Computer Interfaces (9 papers), Musculoskeletal pain and rehabilitation (6 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers). Shane MacDonald is often cited by papers focused on EEG and Brain-Computer Interfaces (9 papers), Musculoskeletal pain and rehabilitation (6 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers). Shane MacDonald collaborates with scholars based in Sweden, Canada and United States. Shane MacDonald's co-authors include Steven J. Linton, Michael K. Nicholas, Markus Jansson‐Fröjmark, Danilo Garcia, Allison G. Harvey, Trevor Archer, Reza Kormi‐Nouri, Miguel Vargas Martín, David M. Hansell and Xiao Hu and has published in prestigious journals such as Spine, IEEE Transactions on Medical Imaging and The Gerontologist.

In The Last Decade

Shane MacDonald

31 papers receiving 552 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shane MacDonald Sweden 10 268 140 112 104 100 32 568
Georg Gittler Austria 11 249 0.9× 137 1.0× 128 1.1× 32 0.3× 99 1.0× 25 615
Henrik Børsting Jacobsen Norway 15 239 0.9× 111 0.8× 87 0.8× 126 1.2× 170 1.7× 55 701
Huiyong Fan China 11 220 0.8× 132 0.9× 109 1.0× 230 2.2× 121 1.2× 24 831
Harry McConnell Australia 15 67 0.3× 117 0.8× 138 1.2× 186 1.8× 128 1.3× 26 693
Benjamin A. Rosser United Kingdom 12 330 1.2× 103 0.7× 118 1.1× 259 2.5× 133 1.3× 26 1.0k
Petra A. Karsdorp Netherlands 15 351 1.3× 83 0.6× 198 1.8× 163 1.6× 244 2.4× 24 657
Ji‐Hyuk Park South Korea 16 124 0.5× 34 0.2× 60 0.5× 137 1.3× 214 2.1× 105 801
Markus Wettstein Germany 15 102 0.4× 73 0.5× 30 0.3× 97 0.9× 114 1.1× 45 691
Jill N. Blocker United States 13 78 0.3× 218 1.6× 151 1.3× 104 1.0× 74 0.7× 16 630
Alejandro Legaz‐Arrese Spain 22 166 0.6× 71 0.5× 35 0.3× 95 0.9× 257 2.6× 71 1.3k

Countries citing papers authored by Shane MacDonald

Since Specialization
Citations

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

Fields of papers citing papers by Shane MacDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shane MacDonald

This figure shows the co-authorship network connecting the top 25 collaborators of Shane MacDonald. A scholar is included among the top collaborators of Shane MacDonald 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 Shane MacDonald. Shane MacDonald 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
1.
MacDonald, Shane, et al.. (2021). Deep learning at the edge: automatic modulation classification on real world signals. 92–92. 1 indexed citations
2.
Martín, Miguel Vargas, et al.. (2019). Inside out - A study of users’ perceptions of password memorability and recall. Journal of Information Security and Applications. 47. 223–234. 3 indexed citations
3.
Wang, Ganyu, Miguel Vargas Martín, Patrick C. K. Hung, & Shane MacDonald. (2019). Towards Classifying Motor Imagery Using a Consumer-Grade Brain-Computer Interface. 67–69. 1 indexed citations
4.
5.
MacDonald, Shane, et al.. (2017). Enhancing Scientific Literacy by Targeting Specific Scientific Skills.. Teaching science (Deakin West, A.C.T. : Online)/Teaching science. 63(3). 26–37. 3 indexed citations
6.
Garcia, Danilo, et al.. (2017). Measuring malevolent character: Data using the Swedish version of Jonason's Dark Triad Dirty Dozen. Data in Brief. 14. 648–652. 8 indexed citations
7.
Garcia, Danilo, et al.. (2017). Factor analysis of the Swedish version of the Dark Triad Dirty Dozen. PsyCh Journal. 6(2). 166–167. 6 indexed citations
8.
MacDonald, Shane, et al.. (2017). Measuring Student Attitudes and Performance in order to Improve Future Performance and Enrolments in Senior Science Subjects.. 25(3). 1 indexed citations
9.
Garcia, Danilo, Shane MacDonald, & Trevor Archer. (2015). Two different approaches to the affective profiles model: median splits (variable-oriented) and cluster analysis (person-oriented). PeerJ. 3. e1380–e1380. 39 indexed citations
10.
MacDonald, Shane & Reza Kormi‐Nouri. (2013). The affective personality, sleep, and autobiographical memories. The Journal of Positive Psychology. 8(4). 305–313. 19 indexed citations
11.
Harvey, Allison G., et al.. (2012). Sleep Disturbance and Depressive Symptoms in Adolescence: The Role of Catastrophic Worry. Journal of Youth and Adolescence. 42(8). 1223–1233. 71 indexed citations
12.
Linton, Steven J., Michael K. Nicholas, & Shane MacDonald. (2010). Development of a Short Form of the Örebro Musculoskeletal Pain Screening Questionnaire. Spine. 36(22). 1891–1895. 257 indexed citations
13.
MacDonald, Shane, Steven J. Linton, & Markus Jansson‐Fröjmark. (2009). Cognitive vulnerability in the development of concomitant pain and sleep disturbances. British Journal of Health Psychology. 15(2). 417–434. 13 indexed citations
14.
MacDonald, Shane, Steven J. Linton, & Markus Jansson‐Fröjmark. (2009). Reconstructing the Past on the Original Pain Recall Assessment Form (OPRA). Journal of Pain. 10(8). 809–817. 3 indexed citations
15.
Linton, Steven J., et al.. (2009). 459 THE RELATIONSHIP OF DEPRESSION AND CATASTROPHIZING TO MUSCULOSKELETAL PAIN A CROSS‐SECTIONAL STUDY IN TWO INTERNATIONAL SAMPLES. European Journal of Pain. 13(S1). 1 indexed citations
16.
Jansson‐Fröjmark, Markus & Shane MacDonald. (2008). Exploratory factor analysis of the Modified Somatic Perception Questionnaire on a sample with insomnia symptoms. Psychology Health & Medicine. 14(1). 62–72. 9 indexed citations
17.
MacDonald, Shane, Steven J. Linton, & Markus Jansson‐Fröjmark. (2008). Avoidant Safety Behaviors and Catastrophizing: Shared cognitive-behavioral processes and consequences in co-morbid pain and sleep disorders. International Journal of Behavioral Medicine. 15(3). 201–210. 31 indexed citations
18.
Dempere‐Marco, Laura, Xiao Hu, Shane MacDonald, et al.. (2002). The use of visual search for knowledge gathering in image decision support. IEEE Transactions on Medical Imaging. 21(7). 741–754. 31 indexed citations
19.
Murray, Peter D., et al.. (1996). Validity Studies of the Filial Anxiety Scale. The Gerontologist. 36(1). 110–112. 6 indexed citations
20.
Damper, R.I. & Shane MacDonald. (1984). Statistical clustering procedures applied to low-cost speech recognition. Journal of Biomedical Engineering. 6(4). 265–271. 3 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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