Kyle Strabala

22 papers receiving 605 citations

Peers

Kyle Strabala
Comparison fields: 5 of 73
  • Control and Systems Engineering 325
  • Human-Computer Interaction 75
  • Social Psychology 196
  • Computer Vision and Pattern Recognition 143
  • Biomedical Engineering 187
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Aitor Ibarguren Spain
Jyrki Latokartano Finland
Tadashi Odashima Japan
Panagiotis Ν. Koustoumpardis Greece
Honghao Lyu China
Kanako Miura Japan
Shunichi Nozawa Japan
Ariel S. Kapusta United States
Yohei Kakiuchi Japan
Aleš Vysocký Czechia
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Countries citing papers authored by Kyle Strabala

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Strabala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kyle Strabala, 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 Kyle Strabala Line = papers co-authored together Kyle Strabala links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013211
2 2015103
3 201298
4 201250
5 201135
6 201728
7 201025
8 201515
9 200711
10 200911
11 200910
12 20188
13 20137
14 20076
15
The Effects of Combined Compression and Aging on the Properties of Glassy Polycarbonate
20096
16
Stereoscopic visualization and haptic technology used to create a virtual environment for remote surgery - biomed 2011.
20115
17 20114
18 20163
19 20232
20 20072

About Kyle Strabala

Kyle Strabala is a scholar working on Computer Vision and Pattern Recognition, Polymers and Plastics, Control and Systems Engineering, Biomedical Engineering and Human-Computer Interaction, having authored 22 papers that have together received 642 indexed citations. Recurring topics across this work include Polymer crystallization and properties (6 papers), Robotic Path Planning Algorithms (5 papers), Robot Manipulation and Learning (5 papers), Polymer Nanocomposites and Properties (3 papers), Surgical Simulation and Training (3 papers), Minimally Invasive Surgical Techniques (3 papers), Social Robot Interaction and HRI (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Control and Systems Engineering (325 citations), Human-Computer Interaction (75 citations), Social Psychology (196 citations), Computer Vision and Pattern Recognition (143 citations) and Biomedical Engineering (187 citations). Kyle Strabala has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Siddhartha S Srinivasa, Anca D. Dragan, Jodi Forlizzi, Min Kyung Lee, Maya Çakmak, Dmitry Oleynikov, Shane M Farritor, Alvaro Collet, Tim Niemueller and Ross A. Knepper. Their work appears in journals such as Polymer Engineering and Science, Journal of Field Robotics, Experimental Mechanics, Macromolecular Symposia and Springer tracts in advanced robotics.

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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