Eric V. Eason

1.0k citations
10 papers · 943 · 1 hit paper · h-index 8

Impact in

Papers in

Eric V. Eason

10 papers receiving 931 citations

Eric V. Eason's Hit Papers

Tunable Flexible Pressure Sensors using Microstructured Elastomer Geometries for Intuitive Electronics 2014 · 491 citations
4910+4+8Years since publication100200300400

Peers

Eric V. Eason
Comparison fields: 5 of 56
  • Cognitive Neuroscience 285
  • Biomedical Engineering 657
  • Surfaces, Coatings and Films 105
  • Polymers and Plastics 188
  • Mechanics of Materials 312
Replace Duorui Wang with:
Duorui Wang China
Jae‐Kang Kim South Korea
Veikko Sariola Finland
Hong Hu China
Linpeng Liu China
Xuan Wu China
Joyelle Jones United States
Chu Ma United States
Hyunkyu Park South Korea
Zhibin Jiao China
Eric V. Eason relative to Duorui Wang China Duorui Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eric V. Eason

Since Specialization
Citations

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

Fields of papers citing papers by Eric V. Eason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric V. Eason. 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 Eric V. Eason. The network helps show where Eric V. Eason may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Tunable Flexible Pressure Sensors using Microstructured Elastomer Geometries for Intuitive Electronics
Hit paper breakdown →
2014491
2 2014104
3 201299
4 201397
5 201364
6 201552
7 201722
8 20188
9 20175
10 20141

About Eric V. Eason

Eric V. Eason is a scholar working on Mechanics of Materials, Atomic and Molecular Physics, and Optics, Surfaces, Coatings and Films, Cognitive Neuroscience and Computational Mechanics, having authored 10 papers that have together received 943 indexed citations. Recurring topics across this work include Adhesion, Friction, and Surface Interactions (8 papers), Force Microscopy Techniques and Applications (6 papers), Tactile and Sensory Interactions (3 papers), Surface Modification and Superhydrophobicity (3 papers), Surface Roughness and Optical Measurements (2 papers), Interactive and Immersive Displays (1 paper), Adaptive optics and wavefront sensing (1 paper) and Polymer Surface Interaction Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (285 citations), Biomedical Engineering (657 citations), Surfaces, Coatings and Films (105 citations), Polymers and Plastics (188 citations) and Mechanics of Materials (312 citations). Eric V. Eason has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Mark R. Cutkosky, Zhenan Bao, Alex Chortos, Benjamin C. K. Tee, Elliot W. Hawkes, David L. Christensen, Alan T. Asbeck, Paul R. Day, Noé Esparza and Thomas Libby. Their work appears in journals such as Advanced Functional Materials, Journal of The Royal Society Interface, Bioinspiration & Biomimetics, Smart Materials and Structures and IEEE/ASME Transactions on Mechatronics.

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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