Karon E. MacLean

6.2k total citations
138 papers, 4.2k citations indexed

About

Karon E. MacLean is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Mechanical Engineering. According to data from OpenAlex, Karon E. MacLean has authored 138 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Cognitive Neuroscience, 60 papers in Human-Computer Interaction and 41 papers in Mechanical Engineering. Recurrent topics in Karon E. MacLean's work include Tactile and Sensory Interactions (89 papers), Teleoperation and Haptic Systems (39 papers) and Interactive and Immersive Displays (30 papers). Karon E. MacLean is often cited by papers focused on Tactile and Sensory Interactions (89 papers), Teleoperation and Haptic Systems (39 papers) and Interactive and Immersive Displays (30 papers). Karon E. MacLean collaborates with scholars based in Canada, United States and Germany. Karon E. MacLean's co-authors include Mario Enriquez, Steve Yohanan, Vincent Hayward, Oliver Schneider, Hasti Seifi, William K. Durfee, Elizabeth A. Croft, Colin Swindells, Joanna McGrenere and Vincent Lévesque and has published in prestigious journals such as Proceedings of the IEEE, Annals of the New York Academy of Sciences and The Journal of the Acoustical Society of America.

In The Last Decade

Karon E. MacLean

132 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karon E. MacLean Canada	38	2.8k	2.0k	1.2k	1.1k	816	138	4.2k
Hong Z. Tan United States	36	3.3k 1.2×	1.5k 0.7×	991 0.8×	1.0k 1.0×	1.0k 1.3×	172	4.4k
Anatole Lécuyer France	39	3.4k 1.2×	2.4k 1.2×	625 0.5×	790 0.7×	365 0.4×	192	5.0k
Jan B. F. van Erp Netherlands	36	3.1k 1.1×	1.2k 0.6×	1.8k 1.4×	263 0.2×	1.1k 1.4×	181	4.9k
Michitaka Hirose Japan	31	1.6k 0.6×	2.0k 1.0×	490 0.4×	588 0.5×	417 0.5×	302	3.5k
Masahiko İnami Japan	33	1.4k 0.5×	2.3k 1.1×	519 0.4×	672 0.6×	232 0.3×	305	3.7k
Mary C. Whitton United States	36	1.9k 0.7×	4.1k 2.0×	896 0.7×	620 0.6×	207 0.3×	94	5.4k
Katherine J. Kuchenbecker United States	39	3.3k 1.2×	1.7k 0.8×	427 0.3×	1.6k 1.5×	389 0.5×	182	4.9k
Robert W. Lindeman New Zealand	30	1.2k 0.4×	2.5k 1.3×	586 0.5×	436 0.4×	263 0.3×	174	3.5k
Kay M. Stanney United States	28	975 0.4×	2.3k 1.2×	953 0.8×	324 0.3×	216 0.3×	88	3.5k
Sean Follmer United States	37	2.2k 0.8×	2.8k 1.4×	281 0.2×	1.5k 1.4×	145 0.2×	97	4.2k

Countries citing papers authored by Karon E. MacLean

Since Specialization

Citations

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

Fields of papers citing papers by Karon E. MacLean

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karon E. MacLean. 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 Karon E. MacLean. The network helps show where Karon E. MacLean may publish in the future.

Co-authorship network of co-authors of Karon E. MacLean

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

All Works

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20 of 20 papers shown

Witkower, Zachary, et al.. (2025). Human psychophysiology is influenced by physical touch with a “breathing” robot.. Emotion. 26(3). 729–738.

Li, Ying, et al.. (2024). What is Affective Touch Made Of? A Soft Capacitive Sensor Array Reveals the Interplay between Shear, Normal Stress and Individuality. 1–31. 3 indexed citations

Israr, Ali, et al.. (2023). When is a Haptic Message Like an Inside Joke? Digitally Mediated Emotive Communication Builds on Shared History. IEEE Transactions on Affective Computing. 14(1). 732–746. 7 indexed citations

Rekimoto, Jun, et al.. (2023). Demonstrating Virtual Teamwork with Synchrobots: A Robot-Mediated Approach to Improving Connectedness. 1–4. 2 indexed citations

Kryklywy, James H., et al.. (2023). Characterizing affiliative touch in humans and its role in advancing haptic design. Annals of the New York Academy of Sciences. 1528(1). 29–41. 4 indexed citations

Kim, Lawrence H., Amori Yee Mikami, Elizabeth Reid, et al.. (2023). Sharing Feelings via Mini Robot Gestures. 1–5. 2 indexed citations

Boerner, Katelynn E., et al.. (2022). Data visualization as an intervention for pediatric chronic pain: a pilot feasibility study protocol for a randomized controlled crossover trial. Pilot and Feasibility Studies. 8(1). 223–223. 3 indexed citations

Rantala, Jussi, et al.. (2021). Discerning Affect From Touch and Gaze During Interaction With a Robot Pet. IEEE Transactions on Affective Computing. 14(2). 1598–1612. 7 indexed citations

Sefidgar, Yasaman S., Karon E. MacLean, Steve Yohanan, et al.. (2015). Design and Evaluation of a Touch-Centered Calming Interaction with a Social Robot. IEEE Transactions on Affective Computing. 7(2). 108–121. 79 indexed citations

10.

Gleeson, Brian T., et al.. (2015). Tap and push: assessing the value of direct physical control in human-robot collaborative tasks. Human-Robot Interaction. 4(1). 95–113. 3 indexed citations

11.

Schneider, Oliver, et al.. (2013). It's alive!: exploring the design space of a gesturing phone. Graphics Interface. 205–212. 14 indexed citations

12.

Gleeson, Brian T., et al.. (2013). Gestures for industry: intuitive human-robot communication from human observation. Human-Robot Interaction. 349–356. 64 indexed citations

13.

Gleeson, Brian T., et al.. (2013). Gestures for industry Intuitive human-robot communication from human observation. 349–356. 79 indexed citations

14.

MacLean, Karon E., et al.. (2012). Conductive fur sensing for a gesture-aware furry robot. 99–104. 20 indexed citations

15.

MacLean, Karon E., et al.. (2009). Exploring melodic variance in rhythmic haptic stimulus design. Graphics Interface. 133–140. 15 indexed citations

16.

Enriquez, Mario & Karon E. MacLean. (2008). Backward and common-onset masking of vibrotactile stimuli. Brain Research Bulletin. 75(6). 761–769. 17 indexed citations

17.

Chan, Andrew, Karon E. MacLean, & Joanna McGrenere. (2007). Designing haptic icons to support collaborative turn-taking. International Journal of Human-Computer Studies. 66(5). 333–355. 64 indexed citations

18.

Pasquero, Jérôme, et al.. (2006). Perceptual Analysis of Haptic Icons: an Investigation into the Validity of Cluster Sorted MDS. 67. 33 indexed citations

19.

Swindells, Colin, Karon E. MacLean, Kellogg S. Booth, & Michael J. Meitner. (2006). A case-study of affect measurement tools for physical user interface design. Graphics Interface. 243–250. 16 indexed citations

20.

MacLean, Karon E., et al.. (2006). Predictive haptic guidance: intelligent user assistance for the control of dynamic tasks. IEEE Transactions on Visualization and Computer Graphics. 12(1). 103–113. 97 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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