Walter Voit

5.3k total citations · 1 hit paper
94 papers, 4.4k citations indexed

About

Walter Voit is a scholar working on Polymers and Plastics, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Walter Voit has authored 94 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Polymers and Plastics, 39 papers in Biomedical Engineering and 33 papers in Cellular and Molecular Neuroscience. Recurrent topics in Walter Voit's work include Conducting polymers and applications (35 papers), Neuroscience and Neural Engineering (33 papers) and Advanced Sensor and Energy Harvesting Materials (32 papers). Walter Voit is often cited by papers focused on Conducting polymers and applications (35 papers), Neuroscience and Neural Engineering (33 papers) and Advanced Sensor and Energy Harvesting Materials (32 papers). Walter Voit collaborates with scholars based in United States, Mexico and South Korea. Walter Voit's co-authors include Taylor H. Ware, Dustin Simon, Kejia Yang, Jonathan T. Reeder, Alexandra Joshi‐Imre, Ronald A. Smaldone, Melanie Ecker, Robert L. Rennaker, Yuvaraj Haldorai and David Arreaga‐Salas and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

Walter Voit

93 papers receiving 4.3k citations

Hit Papers

Electrically, Chemically, and Photonically Powered Torsio... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Walter Voit United States 33 2.1k 1.9k 983 915 869 94 4.4k
Ting Wang China 39 2.9k 1.4× 1.1k 0.6× 964 1.0× 514 0.6× 446 0.5× 159 5.3k
Yuanwen Jiang United States 29 1.9k 0.9× 1.1k 0.6× 1.3k 1.3× 798 0.9× 251 0.3× 51 3.7k
Suk‐Won Hwang South Korea 32 3.2k 1.5× 1.4k 0.8× 1.9k 2.0× 1.1k 1.2× 401 0.5× 86 4.9k
Seung‐Kyun Kang South Korea 33 3.2k 1.5× 1.3k 0.7× 2.0k 2.0× 990 1.1× 598 0.7× 93 4.9k
Zhe Li China 34 3.1k 1.4× 1.6k 0.8× 1.3k 1.3× 320 0.3× 603 0.7× 159 4.8k
Yu Jun Tan Singapore 32 3.8k 1.8× 1.1k 0.6× 779 0.8× 300 0.3× 1.5k 1.7× 71 5.8k
Shuo Li United States 29 4.7k 2.2× 1.4k 0.8× 1.4k 1.4× 659 0.7× 1.4k 1.6× 72 6.1k
Vivian R. Feig United States 22 4.2k 2.0× 2.6k 1.4× 2.0k 2.0× 553 0.6× 482 0.6× 31 5.4k
Taylor H. Ware United States 39 4.5k 2.1× 2.4k 1.3× 621 0.6× 520 0.6× 4.5k 5.2× 99 7.2k

Countries citing papers authored by Walter Voit

Since Specialization
Citations

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

Fields of papers citing papers by Walter Voit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Walter Voit

This figure shows the co-authorship network connecting the top 25 collaborators of Walter Voit. A scholar is included among the top collaborators of Walter Voit 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 Walter Voit. Walter Voit 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.
Chitrakar, Chandani, Yao Ren, Alexandra Joshi‐Imre, et al.. (2024). Softening, Conformable, and Stretchable Conductors for Implantable Bioelectronics Interfaces. Advanced Materials Technologies. 10(6). 3 indexed citations
2.
Parikh, Ankit, et al.. (2024). Surface‐methacrylated microcrystalline cellulose bioresins with soybean oil for additive manufacturing via vat photopolymerization. Journal of Polymer Science. 62(12). 2692–2703. 6 indexed citations
3.
Mejía, I., et al.. (2023). Impact of Applied Voltage on Threshold Voltage Instability in Active Load Thin-Film a-IGZO Inverters. IEEE Transactions on Electron Devices. 70(8). 4220–4224. 3 indexed citations
4.
Chitrakar, Chandani, Ankit Parikh, Joseph J. Pancrazio, et al.. (2023). Softening and flexible hybrid electronics integration for biomedical applications. MRS Communications. 13(5). 892–900. 3 indexed citations
5.
Gutiérrez‐Heredia, Gerardo, et al.. (2022). Indium-gallium-zinc oxide Schottky diodes on softening substrates for rectifying bioelectronic circuits. Flexible and Printed Electronics. 7(3). 35008–35008.
6.
Barrios, Carlos Angulo, Yao Ren, Runyu Zhang, et al.. (2021). Structural response of 3D-printed rubber lattice structures under compressive fatigue. MRS Communications. 11(2). 168–172. 5 indexed citations
7.
Allen, David P., et al.. (2021). Towards an ankle-foot orthosis powered by a dielectric elastomer actuator. Mechatronics. 76. 102551–102551. 24 indexed citations
8.
Stiller, Allison M., et al.. (2020). Mechanically Robust, Softening Shape Memory Polymer Probes for Intracortical Recording. Micromachines. 11(6). 619–619. 25 indexed citations
9.
Frewin, Christopher L., Melanie Ecker, Alexandra Joshi‐Imre, et al.. (2019). Electrical Properties of Thiol-ene-based Shape Memory Polymers Intended for Flexible Electronics. Polymers. 11(5). 902–902. 23 indexed citations
10.
Hosseini, Seyed Mahmoud, Walter Voit, & Melanie Ecker. (2019). Environmental Dynamic Mechanical Analysis to Predict the Softening Behavior of Neural Implants. Journal of Visualized Experiments. 4 indexed citations
11.
Stiller, Allison M., Christopher L. Frewin, Melanie Ecker, et al.. (2018). Chronic Intracortical Recording and Electrochemical Stability of Thiol-ene/Acrylate Shape Memory Polymer Electrode Arrays. Micromachines. 9(10). 500–500. 50 indexed citations
12.
Shoffstall, Andrew J., Melanie Ecker, Alexandra Joshi‐Imre, et al.. (2018). Characterization of the Neuroinflammatory Response to Thiol-ene Shape Memory Polymer Coated Intracortical Microelectrodes. Micromachines. 9(10). 486–486. 27 indexed citations
13.
Reeder, Jonathan T., et al.. (2018). 3D, Reconfigurable, Multimodal Electronic Whiskers via Directed Air Assembly. Advanced Materials. 30(11). 62 indexed citations
14.
Barrera, Diego, et al.. (2018). Solution-processed oxide thin film transistors on shape memory polymer enabled by photochemical self-patterning. Journal of materials research/Pratt's guide to venture capital sources. 33(17). 2454–2462. 25 indexed citations
15.
Kanneganti, Aswini, Alexandra Joshi‐Imre, Ana G. Hernández-Reynoso, et al.. (2018). Thin Film Multi-Electrode Softening Cuffs for Selective Neuromodulation. Scientific Reports. 8(1). 16390–16390. 82 indexed citations
16.
Ecker, Melanie, et al.. (2017). Characterization of a Thiol-Ene/Acrylate-Based Polymer for Neuroprosthetic Implants. ACS Omega. 2(8). 4604–4611. 30 indexed citations
18.
Fuentes‐Hernandez, Canek, et al.. (2015). Organic light-emitting diodes on shape memory polymer substrates for wearable electronics. Organic Electronics. 25. 151–155. 38 indexed citations
19.
Kulikov, Oleg V., et al.. (2015). Plasticization for melt viscosity reduction of melt processable carbon fiber precursor. Carbon. 98. 681–688. 19 indexed citations
20.
Lund, Benjamin, Dustin Simon, Taylor H. Ware, et al.. (2012). High Performance and Multipurpose Triarylamine-Enchained Semifluorinated Polymers. ACS Macro Letters. 2(1). 35–39. 19 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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