Matthew A. Estrada

735 citations
12 papers · 603 indexed · 1 hit paper · h-index 10
Topics
Adhesion, Friction, and Surface Interactions (4 papers)Robot Manipulation and Learning (4 papers)Robotic Locomotion and Control (3 papers)
Journals
Science RoboticsJournal of Mechanisms and Robotics2022 26th International Conference on Pattern Recognition (ICPR)

In The Last Decade

Matthew A. Estrada

12 papers receiving 587 citations

Hit Papers

A robotic device using gecko-inspired adhesives can grasp...2017202620202023201750100150200250

Peers

Matthew A. Estrada
Comparison fields: 5 of 52
  • Biomedical Engineering 259
  • Mechanics of Materials 231
  • Aerospace Engineering 200
  • Mechanical Engineering 153
  • Control and Systems Engineering 128
Replace Amy Kyungwon Han with:
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Christine Fuller United States
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Matthew A. Estrada relative to Amy Kyungwon Han United States Amy Kyungwon Han's profile →
Citations per field
00.5×8.3×
Amy Kyungwon Han · 1×
Citations per year

Countries citing papers authored by Matthew A. Estrada

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Estrada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew A. Estrada. 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 Matthew A. Estrada. The network helps show where Matthew A. Estrada may publish in the future.

Co-authorship network of co-authors of Matthew A. Estrada

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 4
2 54
3
A robotic device using gecko-inspired adhesives can grasp and manipulate large objects in microgravitybreakdown →
257
4 10
5 33
6 84
7 9
8 22
9 21
10 39
11 61
12 9

About Matthew A. Estrada

Matthew A. Estrada is a scholar working on Control and Systems Engineering, Condensed Matter Physics and Mechanics of Materials, having authored 12 papers that have together received 603 indexed citations. Recurring topics across this work include Adhesion, Friction, and Surface Interactions (4 papers), Robot Manipulation and Learning (4 papers) and Robotic Locomotion and Control (3 papers). The work is most often cited by research in Surfaces, Coatings and Films (84 citations), Mechanics of Materials (231 citations) and Aerospace Engineering (200 citations). Matthew A. Estrada has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include Mark R. Cutkosky, Elliot W. Hawkes, Hao Jiang, Aaron Parness, David L. Christensen, Morgan T. Pope, Christopher J. Ploch, Shiquan Wang, Srinivasan A. Suresh and Amy Kyungwon Han. Their work appears in journals such as Science Robotics, Journal of Mechanisms and Robotics and 2022 26th International Conference on Pattern Recognition (ICPR).

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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