Mark Lee

32 papers receiving 321 citations

Peers

Mark Lee
Comparison fields: 5 of 54
  • Control and Systems Engineering 181
  • Human-Computer Interaction 43
  • Cognitive Neuroscience 99
  • Developmental and Educational Psychology 50
  • Social Psychology 71
Replace Martin Hülse with:
Martin Hülse United Kingdom
Stéphane Lallée Spain
Shun Nishide Japan
Matthew K. X. J. Pan Canada
Damien Petit Japan
Lijin Aryananda Switzerland
Alexander Mörtl Germany
Matt Berlin United States
Patrick HENAFF France
Tibor Ujbányi Hungary
Mark Lee relative to Martin Hülse United Kingdom Martin Hülse's profile →
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Citations per year

Countries citing papers authored by Mark Lee

Since Specialization
Citations

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

Fields of papers citing papers by Mark Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Mark Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Lee Line = papers co-authored together Mark Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201070
2 201038
3 201328
4 201421
5 200918
6
A control and monitoring system for multiple-sensor industrial robots
198318
7 200715
8 200913
9 201412
10
Automating Mechanical FMEA Using Functional Models
199911
11 202010
12 20119
13 20179
14 20107
15 20126
16 20155
17 20185
18 20135
19 20025
20 20164

About Mark Lee

Mark Lee is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Developmental and Educational Psychology, Control and Systems Engineering and Social Psychology, having authored 34 papers that have together received 330 indexed citations. Recurring topics across this work include Child and Animal Learning Development (10 papers), Robot Manipulation and Learning (8 papers), Gaze Tracking and Assistive Technology (7 papers), Social Robot Interaction and HRI (6 papers), Tactile and Sensory Interactions (4 papers), Visual Attention and Saliency Detection (4 papers), Motor Control and Adaptation (4 papers) and Action Observation and Synchronization (4 papers). The work is most often cited by research in Control and Systems Engineering (181 citations), Human-Computer Interaction (43 citations), Cognitive Neuroscience (99 citations), Developmental and Educational Psychology (50 citations) and Social Psychology (71 citations). Mark Lee has collaborated with scholars based in United Kingdom, Pakistan and Australia. Frequent co-authors include Martin Hülse, James Law, Patricia H. Shaw, Tao Geng, Sebastian D. McBride, Michael Sheldon, Qiang Shen, Nigel W. Hardy, Chris Price and Kim Lowell. Their work appears in journals such as IEEE Transactions on Cognitive and Developmental Systems, PLoS ONE, Robotics and Autonomous Systems, Cognitive Computation and Autonomous Robots.

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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