Robert D. Viveros

1.6k total citations · 1 hit paper
14 papers, 1.2k citations indexed

About

Robert D. Viveros is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Robert D. Viveros has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 6 papers in Electrical and Electronic Engineering and 5 papers in Biomedical Engineering. Recurrent topics in Robert D. Viveros's work include Neuroscience and Neural Engineering (8 papers), Advanced Memory and Neural Computing (5 papers) and Nanoparticle-Based Drug Delivery (3 papers). Robert D. Viveros is often cited by papers focused on Neuroscience and Neural Engineering (8 papers), Advanced Memory and Neural Computing (5 papers) and Nanoparticle-Based Drug Delivery (3 papers). Robert D. Viveros collaborates with scholars based in United States and South Korea. Robert D. Viveros's co-authors include Charles M. Lieber, Guosong Hong, Tian-Ming Fu, Tao Zhou, Xiao Yang, Thomas G. Schuhmann, Theodore J. Zwang, Yunlong Zhao, Teng Gao and Hong‐Gyu Park and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Materials.

In The Last Decade

Robert D. Viveros

14 papers receiving 1.2k citations

Hit Papers

Bioinspired neuron-like electronics 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Bioinspired neuron-like electronics
    2019 296 citations Xiao Yang, Tao Zhou et al. Nature Materials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert D. Viveros United States 12 922 584 389 387 174 14 1.2k
Erin K. Purcell United States 16 932 1.0× 391 0.7× 398 1.0× 341 0.9× 181 1.0× 41 1.3k
Florian Fallegger Switzerland 15 677 0.7× 618 1.1× 298 0.8× 334 0.9× 222 1.3× 25 1.2k
James R. Eles United States 20 1.1k 1.2× 333 0.6× 564 1.4× 304 0.8× 239 1.4× 25 1.3k
Andrés Canales United States 11 1.2k 1.4× 864 1.5× 434 1.1× 531 1.4× 322 1.9× 16 1.8k
Thomas J. Richner United States 14 911 1.0× 527 0.9× 511 1.3× 387 1.0× 180 1.0× 38 1.3k
Christian Bergaud France 16 588 0.6× 441 0.8× 236 0.6× 392 1.0× 337 1.9× 34 1.0k
Ulrich P. Froriep Germany 9 637 0.7× 362 0.6× 239 0.6× 217 0.6× 109 0.6× 20 899
W. Nisch Germany 17 1.1k 1.2× 500 0.9× 375 1.0× 521 1.3× 130 0.7× 47 1.5k
Davide Ricci Italy 21 726 0.8× 399 0.7× 348 0.9× 432 1.1× 429 2.5× 42 1.1k
Axel Blau Italy 18 903 1.0× 478 0.8× 433 1.1× 388 1.0× 111 0.6× 39 1.2k

Countries citing papers authored by Robert D. Viveros

Since Specialization
Citations

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

Fields of papers citing papers by Robert D. Viveros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert D. Viveros. 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 Robert D. Viveros. The network helps show where Robert D. Viveros may publish in the future.

Co-authorship network of co-authors of Robert D. Viveros

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

All Works

14 of 14 papers shown
1.
Chung, Gil Yong, Robert D. Viveros, Charles Lee, et al.. (2023). Basal Plane Dislocation Slip Band Characterization and Epitaxial Propagation in 4H SiC. Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forum. 425. 51–56. 1 indexed citations
2.
Yang, Xiao, Tao Zhou, Theodore J. Zwang, et al.. (2019). Bioinspired neuron-like electronics. Nature Materials. 18(5). 510–517. 296 indexed citations breakdown →
3.
Viveros, Robert D., Tao Zhou, Guosong Hong, et al.. (2019). Advanced One- and Two-Dimensional Mesh Designs for Injectable Electronics. Nano Letters. 19(6). 4180–4187. 27 indexed citations
4.
Lee, Jung Min, Guosong Hong, Dingchang Lin, et al.. (2019). Nanoenabled Direct Contact Interfacing of Syringe-Injectable Mesh Electronics. Nano Letters. 19(8). 5818–5826. 36 indexed citations
5.
Hong, Guosong, Tian-Ming Fu, Mu Qiao, et al.. (2018). A method for single-neuron chronic recording from the retina in awake mice. Science. 360(6396). 1447–1451. 137 indexed citations
6.
Hong, Guosong, Robert D. Viveros, Theodore J. Zwang, Xiao Yang, & Charles M. Lieber. (2018). Tissue-like Neural Probes for Understanding and Modulating the Brain. Biochemistry. 57(27). 3995–4004. 35 indexed citations
7.
Fu, Tian-Ming, Guosong Hong, Robert D. Viveros, Tao Zhou, & Charles M. Lieber. (2017). Highly scalable multichannel mesh electronics for stable chronic brain electrophysiology. Proceedings of the National Academy of Sciences. 114(47). E10046–E10055. 122 indexed citations
8.
Zhou, Tao, Guosong Hong, Tian-Ming Fu, et al.. (2017). Syringe-injectable mesh electronics integrate seamlessly with minimal chronic immune response in the brain. Proceedings of the National Academy of Sciences. 114(23). 5894–5899. 178 indexed citations
9.
Mendez, Natalie, Alexander Liberman, Jacqueline Corbeil, et al.. (2016). Assessment of in vivo systemic toxicity and biodistribution of iron-doped silica nanoshells. Nanomedicine Nanotechnology Biology and Medicine. 13(3). 933–942. 20 indexed citations
10.
Fu, Tian-Ming, Guosong Hong, Tao Zhou, et al.. (2016). Stable long-term chronic brain mapping at the single-neuron level. Nature Methods. 13(10). 875–882. 240 indexed citations
11.
Liberman, Alexander, James Wang, Ning Lü, et al.. (2015). Mechanically Tunable Hollow Silica Ultrathin Nanoshells for Ultrasound Contrast Agents. Advanced Functional Materials. 25(26). 4049–4057. 49 indexed citations
12.
Viveros, Robert D., Alexander Liberman, William C. Trogler, & Andrew C. Kummel. (2015). Alkaline and ultrasonic dissolution of biological materials for trace silicon determination. Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena. 33(3). 31803–31803. 6 indexed citations
13.
Liberman, Alexander, Zhe Wu, Christopher V. Barback, et al.. (2014). Hollow iron-silica nanoshells for enhanced high intensity focused ultrasound. Journal of Surgical Research. 190(2). 391–398. 25 indexed citations
14.
Liberman, Alexander, Zhe Wu, Christopher V. Barback, et al.. (2013). Color Doppler Ultrasound and Gamma Imaging of Intratumorally Injected 500 nm Iron–Silica Nanoshells. ACS Nano. 7(7). 6367–6377. 44 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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