Tom N. Krupenkin

4.8k total citations · 3 hit papers
40 papers, 3.6k citations indexed

About

Tom N. Krupenkin is a scholar working on Electrical and Electronic Engineering, Surfaces, Coatings and Films and Mechanical Engineering. According to data from OpenAlex, Tom N. Krupenkin has authored 40 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 18 papers in Surfaces, Coatings and Films and 18 papers in Mechanical Engineering. Recurrent topics in Tom N. Krupenkin's work include Electrowetting and Microfluidic Technologies (19 papers), Surface Modification and Superhydrophobicity (18 papers) and Innovative Energy Harvesting Technologies (8 papers). Tom N. Krupenkin is often cited by papers focused on Electrowetting and Microfluidic Technologies (19 papers), Surface Modification and Superhydrophobicity (18 papers) and Innovative Energy Harvesting Technologies (8 papers). Tom N. Krupenkin collaborates with scholars based in United States, Ireland and Germany. Tom N. Krupenkin's co-authors include J. Ashley Taylor, Joanna Aizenberg, Vaibhav Bahadur, Lidiya Mishchenko, Benjamin D. Hatton, Alexander Sidorenko, Shu Yang, P. Mach, Paul Kolodner and Peter Fratzl and has published in prestigious journals such as Science, Advanced Materials and Nature Communications.

In The Last Decade

Tom N. Krupenkin

40 papers receiving 3.5k citations

Hit Papers

Design of Ice-free Nanostructured Surfaces Based on Repul... 2007 2026 2013 2019 2010 2007 2011 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tom N. Krupenkin United States 19 2.0k 1.3k 1.3k 934 840 40 3.6k
Pengyu Lv China 26 945 0.5× 794 0.6× 632 0.5× 308 0.3× 833 1.0× 88 2.2k
Cunjing Lv China 29 2.0k 1.0× 776 0.6× 767 0.6× 291 0.3× 1.4k 1.7× 86 3.0k
Jaakko V. I. Timonen Finland 25 1.1k 0.6× 1.1k 0.8× 557 0.4× 369 0.4× 460 0.5× 71 2.9k
Tingyi Liu United States 15 1.1k 0.5× 1.2k 0.9× 842 0.7× 406 0.4× 393 0.5× 35 2.5k
Hyuneui Lim South Korea 27 1.2k 0.6× 2.5k 1.8× 1.2k 1.0× 381 0.4× 319 0.4× 73 3.8k
Dong‐Dong Han China 36 599 0.3× 2.5k 1.9× 920 0.7× 1.2k 1.3× 281 0.3× 89 3.9k
Daniel J. Preston United States 30 1.2k 0.6× 1.6k 1.2× 781 0.6× 1.3k 1.4× 676 0.8× 105 3.6k
Stefan Jung Switzerland 20 2.5k 1.3× 775 0.6× 806 0.6× 197 0.2× 1.0k 1.2× 33 3.5k
M. S. Bobji India 21 557 0.3× 437 0.3× 241 0.2× 267 0.3× 276 0.3× 71 1.6k
Aurélie Lafuma France 6 3.0k 1.5× 1.1k 0.8× 922 0.7× 206 0.2× 1.1k 1.3× 8 3.6k

Countries citing papers authored by Tom N. Krupenkin

Since Specialization
Citations

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

Fields of papers citing papers by Tom N. Krupenkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom N. Krupenkin. 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 Tom N. Krupenkin. The network helps show where Tom N. Krupenkin may publish in the future.

Co-authorship network of co-authors of Tom N. Krupenkin

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

All Works

20 of 20 papers shown
1.
Krupenkin, Tom N., et al.. (2023). Mechanical energy harvesting using combined reverse electrowetting and electromagnetic method. Device. 1(1). 100005–100005. 3 indexed citations
2.
Taylor, J. Ashley, et al.. (2021). Three-phase alternating current liquid metal vortex magnetohydrodynamic generator. iScience. 24(6). 102644–102644. 8 indexed citations
3.
Taylor, J. Ashley, et al.. (2020). Alternating current liquid metal vortex magnetohydrodynamic generator. Energy Conversion and Management. 223. 113223–113223. 14 indexed citations
4.
Taylor, J. Ashley, et al.. (2017). Energy harvesting from aperiodic low-frequency motion using reverse electrowetting. Faraday Discussions. 199. 377–392. 18 indexed citations
5.
Taylor, J. Ashley, et al.. (2015). Bubbler: A Novel Ultra-High Power Density Energy Harvesting Method Based on Reverse Electrowetting. Scientific Reports. 5(1). 16537–16537. 55 indexed citations
6.
Krupenkin, Tom N. & J. Ashley Taylor. (2011). Reverse electrowetting as a new approach to high-power energy harvesting. Nature Communications. 2(1). 448–448. 387 indexed citations breakdown →
7.
Bahadur, Vaibhav, Lidiya Mishchenko, Benjamin D. Hatton, et al.. (2011). Predictive Model for Ice Formation on Superhydrophobic Surfaces. Langmuir. 27(23). 14143–14150. 175 indexed citations
8.
Mishchenko, Lidiya, Benjamin D. Hatton, Vaibhav Bahadur, et al.. (2010). Design of Ice-free Nanostructured Surfaces Based on Repulsion of Impacting Water Droplets. ACS Nano. 4(12). 7699–7707. 1020 indexed citations breakdown →
9.
Wang, Evelyn N., Michael Bucaro, J. Ashley Taylor, et al.. (2008). Droplet mixing using electrically tunable superhydrophobic nanostructured surfaces. Microfluidics and Nanofluidics. 7(1). 137–140. 20 indexed citations
10.
Enright, Ryan, Tara Dalton, Tom N. Krupenkin, et al.. (2008). Effects of Interfacial Position on Drag Reduction in a Superhydrophobic Microchannel. 835–845. 4 indexed citations
11.
Lifton, Victor A., J. Ashley Taylor, Paul Kolodner, et al.. (2008). Superhydrophobic membranes with electrically controllable permeability and their application to “smart” microbatteries. Applied Physics Letters. 93(4). 35 indexed citations
12.
Peters, Frank H., et al.. (2007). Factors influencing adhesion of fluorocarbon (FC) thin film on silicon substrate. Thin Solid Films. 516(16). 5673–5680. 9 indexed citations
13.
Taylor, J. Ashley, Victor A. Lifton, Alexander Sidorenko, et al.. (2007). Nanonails:  A Simple Geometrical Approach to Electrically Tunable Superlyophobic Surfaces. Langmuir. 24(1). 9–14. 294 indexed citations
14.
Dalton, Tara, Marc Hodes, Cormac Eason, et al.. (2006). Challenges in using nano-textured surfaces to reduce pressure drop through microchannels. 16. 1–3. 2 indexed citations
15.
Henoch, Charles, Tom N. Krupenkin, Paul Kolodner, et al.. (2006). Turbulent Drag Reduction Using Superhydrophobic Surfaces. 88 indexed citations
16.
Krupenkin, Tom N., et al.. (2005). Manipulating Liquids on the Tunable Nanostructured Surfaces. Bulletin of the American Physical Society. 3 indexed citations
17.
Salamon, Todd, Tom N. Krupenkin, Marc Hodes, et al.. (2005). The Effects of Geometry and Wetting on Fluid Flow in Microchannels with Superhydrophobic Walls: A Numerical Study. Bulletin of the American Physical Society. 58. 3 indexed citations
18.
Krupenkin, Tom N., Shu Yang, & P. Mach. (2003). Tunable liquid microlens. Applied Physics Letters. 82(3). 316–318. 276 indexed citations
19.
Yang, Shu, Tom N. Krupenkin, P. Mach, & Edwin A. Chandross. (2003). Tunable and Latchable Liquid Microlens with Photopolymerizable Components. Advanced Materials. 15(11). 940–943. 78 indexed citations
20.
Krupenkin, Tom N. & Philip L. Taylor. (1998). Microscopic model of true strain softening and hardening in a polymer glass. Macromolecular Theory and Simulations. 7(1). 119–128. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026