Mark Micire

19 papers receiving 391 citations

Peers

Mark Micire
Comparison fields: 5 of 59
  • Human-Computer Interaction 117
  • Computer Vision and Pattern Recognition 164
  • Aerospace Engineering 114
  • Control and Systems Engineering 100
  • Mechanical Engineering 154
Replace Boris Gromov with:
Boris Gromov Switzerland
Yuki Uranishi Japan
Eimei Oyama Japan
T. Mung Lam Netherlands
Takafumi Matsumaru Japan
M. Kakikura Japan
Jacques Penders United Kingdom
Nobuto Matsuhira Japan
Marc G. Slack United States
Eric Martinson United States
Mark Micire relative to Boris Gromov Switzerland Boris Gromov's profile →
Citations per field
00.5×10×13×
Boris Gromov · 1×
Citations per year

Countries citing papers authored by Mark Micire

Since Specialization
Citations

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

Fields of papers citing papers by Mark Micire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Mark Micire, 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 Micire Line = papers co-authored together Mark Micire links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 200269
2 200058
3 200748
4 200945
5 200137
6 201331
7 200927
8 200326
9 200723
10 201118
11 200413
12 201210
13
Multi-touch interaction for robot command and control
20108
14
Horizontal Selection: An Evaluation of a Digital Tabletop Input Device
20075
15 20075
16 20034
17 20113
18 20102
19 20081

About Mark Micire

Mark Micire is a scholar working on Chemical Health and Safety, Human-Computer Interaction, Aerospace Engineering, Statistics, Probability and Uncertainty and Ocean Engineering, having authored 19 papers that have together received 433 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Interactive and Immersive Displays (6 papers), Tactile and Sensory Interactions (5 papers), Gaze Tracking and Assistive Technology (4 papers), Teleoperation and Haptic Systems (3 papers), Robotic Path Planning Algorithms (3 papers), Risk and Safety Analysis (2 papers) and Evacuation and Crowd Dynamics (2 papers). The work is most often cited by research in Human-Computer Interaction (117 citations), Computer Vision and Pattern Recognition (164 citations), Aerospace Engineering (114 citations), Control and Systems Engineering (100 citations) and Mechanical Engineering (154 citations). Mark Micire has collaborated with scholars based in United States. Frequent co-authors include Robin R. Murphy, Jennifer Casper, Holly A. Yanco, Jeff Hyams, Katherine M. Tsui, Munjal Desai, Jill L. Drury, Bruce Maxwell, Matt Bailey and Eric Park. Their work appears in journals such as AI Magazine, IEEE Transactions on Robotics and Automation, Journal of the Association for Information Systems, Journal of Field Robotics and Future Cardiology.

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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