Nathan Sharpes

18 total papers · 507 total citations
12 papers, 427 citations indexed

About

Nathan Sharpes is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Nathan Sharpes has authored 12 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanical Engineering, 11 papers in Biomedical Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Nathan Sharpes's work include Innovative Energy Harvesting Technologies (12 papers), Advanced Sensor and Energy Harvesting Materials (10 papers) and Energy Harvesting in Wireless Networks (4 papers). Nathan Sharpes is often cited by papers focused on Innovative Energy Harvesting Technologies (12 papers), Advanced Sensor and Energy Harvesting Materials (10 papers) and Energy Harvesting in Wireless Networks (4 papers). Nathan Sharpes collaborates with scholars based in United States, South Korea and India. Nathan Sharpes's co-authors include Shashank Priya, Abdessattar Abdelkefi, Hyeon Lee, Jungho Ryu, Hichem Abdelmoula, Rammohan Sriramdas, Min‐Gyu Kang, Deepam Maurya, Hyun‐Cheol Song and Prashant Kumar and has published in prestigious journals such as Applied Physics Letters, Applied Energy and Journal of materials research/Pratt's guide to venture capital sources.

In The Last Decade

Nathan Sharpes

12 papers receiving 413 citations

Author Peers

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

Author Last Decade Papers Cites
Nathan Sharpes 337 278 213 71 63 12 427
Hyeoungwoo Kim 341 1.0× 263 0.9× 269 1.3× 47 0.7× 39 0.6× 10 427
Ronnie Varghese 252 0.7× 237 0.9× 209 1.0× 112 1.6× 49 0.8× 9 425
Salem Saadon 389 1.2× 308 1.1× 300 1.4× 43 0.6× 20 0.3× 9 479
Corina Covaci 309 0.9× 293 1.1× 236 1.1× 56 0.8× 27 0.4× 9 472
Alperen Toprak 291 0.9× 349 1.3× 222 1.0× 61 0.9× 27 0.4× 12 465
Vishwas Bedekar 244 0.7× 191 0.7× 182 0.9× 122 1.7× 95 1.5× 26 407
Benqiang Chen 231 0.7× 162 0.6× 289 1.4× 58 0.8× 35 0.6× 20 469
Anuj Chopra 256 0.8× 278 1.0× 208 1.0× 137 1.9× 85 1.3× 17 441
Douglas C. Markley 291 0.9× 309 1.1× 211 1.0× 71 1.0× 16 0.3× 23 424
Daniel Guyomar 314 0.9× 299 1.1× 201 0.9× 174 2.5× 67 1.1× 12 471

Countries citing papers authored by Nathan Sharpes

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Sharpes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Sharpes

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

All Works

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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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