Noé Esparza

780 total citations
9 papers, 647 citations indexed

About

Noé Esparza is a scholar working on Mechanics of Materials, Atomic and Molecular Physics, and Optics and Mechanical Engineering. According to data from OpenAlex, Noé Esparza has authored 9 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanics of Materials, 8 papers in Atomic and Molecular Physics, and Optics and 6 papers in Mechanical Engineering. Recurrent topics in Noé Esparza's work include Force Microscopy Techniques and Applications (8 papers), Adhesion, Friction, and Surface Interactions (8 papers) and Gear and Bearing Dynamics Analysis (6 papers). Noé Esparza is often cited by papers focused on Force Microscopy Techniques and Applications (8 papers), Adhesion, Friction, and Surface Interactions (8 papers) and Gear and Bearing Dynamics Analysis (6 papers). Noé Esparza collaborates with scholars based in United States, Switzerland and France. Noé Esparza's co-authors include Mark R. Cutkosky, Daniel Soto, Aaron Parness, Nick Gravish, Kellar Autumn, Matt Wilkinson, Barrett Heyneman, Paul R. Day, Eric V. Eason and David L. Christensen and has published in prestigious journals such as Applied Physics Letters, Journal of The Royal Society Interface and Journal of Micro and Nano-Manufacturing.

In The Last Decade

Noé Esparza

9 papers receiving 633 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Noé Esparza 519 253 235 204 182 9 647
Daniel Soto 378 0.7× 147 0.6× 185 0.8× 141 0.7× 138 0.8× 15 476
Matt Wilkinson 754 1.5× 198 0.8× 425 1.8× 216 1.1× 299 1.6× 16 971
Zhouyi Wang 383 0.7× 302 1.2× 189 0.8× 127 0.6× 99 0.5× 66 760
S. Trujillo 385 0.7× 481 1.9× 130 0.6× 289 1.4× 119 0.7× 7 777
Lien-Wen Chen 179 0.3× 382 1.5× 185 0.8× 232 1.1× 55 0.3× 33 750
Daniel Santos 1.0k 1.9× 583 2.3× 448 1.9× 453 2.2× 312 1.7× 8 1.4k
Elena Pierro 476 0.9× 113 0.4× 154 0.7× 189 0.9× 204 1.1× 19 553
Burak Aksak 1.1k 2.0× 522 2.1× 416 1.8× 441 2.2× 547 3.0× 31 1.6k
Dashuai Tao 390 0.8× 158 0.6× 125 0.5× 185 0.9× 196 1.1× 17 585
Srinivasan A. Suresh 350 0.7× 609 2.4× 108 0.5× 304 1.5× 128 0.7× 27 977

Countries citing papers authored by Noé Esparza

Since Specialization
Citations

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

Fields of papers citing papers by Noé Esparza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noé Esparza

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

All Works

9 of 9 papers shown
1.
Day, Paul R., Eric V. Eason, Noé Esparza, David L. Christensen, & Mark R. Cutkosky. (2013). Microwedge Machining for the Manufacture of Directional Dry Adhesives. Journal of Micro and Nano-Manufacturing. 1(1). 92 indexed citations
2.
Hawkes, Elliot W., J. Ulmen, Noé Esparza, & Mark R. Cutkosky. (2011). Scaling walls: Applying dry adhesives to the real world. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 35 indexed citations
3.
Hawkes, Elliot W., J. Ulmen, Noé Esparza, & Mark R. Cutkosky. (2011). Scaling walls: Applying dry adhesives to the real world. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 5100–5106. 35 indexed citations
4.
Soto, Daniel, et al.. (2010). Effect of fibril shape on adhesive properties. Applied Physics Letters. 97(5). 18 indexed citations
5.
Parness, Aaron, Daniel Soto, Noé Esparza, et al.. (2009). A microfabricated wedge-shaped adhesive array displaying gecko-like dynamic adhesion, directionality and long lifetime. Journal of The Royal Society Interface. 6(41). 1223–1232. 227 indexed citations
6.
Asbeck, Alan T., Aaron Parness, Noé Esparza, et al.. (2009). Climbing rough vertical surfaces with hierarchical directional adhesion. 2675–2680. 78 indexed citations
7.
Gravish, Nick, Matt Wilkinson, Simon Sponberg, et al.. (2009). Rate-dependent frictional adhesion in natural and synthetic gecko setae. Journal of The Royal Society Interface. 7(43). 259–269. 85 indexed citations
8.
Soto, Daniel, Aaron Parness, Noé Esparza, et al.. (2008). MICROFABRICATED DRY ADHESIVE DISPLAYING FRICTIONAL ADHESION. 130–133. 2 indexed citations
9.
Santos, Daniel, Barrett Heyneman, Sangbae Kim, Noé Esparza, & Mark R. Cutkosky. (2008). Gecko-inspired climbing behaviors on vertical and overhanging surfaces. 1125–1131. 75 indexed citations

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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