Austin D. Sendek

3.2k total citations · 1 hit paper
22 papers, 2.7k citations indexed

About

Austin D. Sendek is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Automotive Engineering. According to data from OpenAlex, Austin D. Sendek has authored 22 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 14 papers in Materials Chemistry and 4 papers in Automotive Engineering. Recurrent topics in Austin D. Sendek's work include Advancements in Battery Materials (16 papers), Machine Learning in Materials Science (13 papers) and Advanced Battery Materials and Technologies (11 papers). Austin D. Sendek is often cited by papers focused on Advancements in Battery Materials (16 papers), Machine Learning in Materials Science (13 papers) and Advanced Battery Materials and Technologies (11 papers). Austin D. Sendek collaborates with scholars based in United States, China and Australia. Austin D. Sendek's co-authors include Yi Cui, Evan J. Reed, Wei Liu, Ekin D. Cubuk, Dingchang Lin, Feifei Shi, Seok Woo Lee, Shuang Wang, Karel-Alexander N. Duerloo and Gowoon Cheon and has published in prestigious journals such as The Journal of Chemical Physics, Nano Letters and ACS Nano.

In The Last Decade

Austin D. Sendek

22 papers receiving 2.7k citations

Hit Papers

Enhancing ionic conductivity in composite polymer electro... 2017 2026 2020 2023 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Austin D. Sendek United States 12 2.2k 1.0k 1.0k 271 148 22 2.7k
Dong‐Joo Yoo South Korea 25 2.1k 0.9× 780 0.8× 445 0.4× 307 1.1× 121 0.8× 53 2.3k
Zheyi Zou China 19 1.7k 0.7× 422 0.4× 823 0.8× 139 0.5× 74 0.5× 31 1.8k
Mouyi Weng China 24 1.4k 0.6× 348 0.3× 621 0.6× 452 1.7× 58 0.4× 46 1.9k
Qinglei Wang China 20 1.6k 0.7× 880 0.9× 361 0.4× 151 0.6× 136 0.9× 67 2.0k
Hyeokjun Park South Korea 32 3.6k 1.6× 973 1.0× 533 0.5× 817 3.0× 181 1.2× 58 3.9k
Vitaliy Yurkiv United States 26 1.7k 0.8× 888 0.9× 617 0.6× 267 1.0× 81 0.5× 88 2.3k
B. V. Ratnakumar United States 34 3.8k 1.7× 2.6k 2.5× 706 0.7× 507 1.9× 151 1.0× 137 4.4k
Han Wu China 20 1.4k 0.6× 508 0.5× 334 0.3× 169 0.6× 224 1.5× 59 1.7k

Countries citing papers authored by Austin D. Sendek

Since Specialization
Citations

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

Fields of papers citing papers by Austin D. Sendek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Austin D. Sendek

This figure shows the co-authorship network connecting the top 25 collaborators of Austin D. Sendek. A scholar is included among the top collaborators of Austin D. Sendek 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 Austin D. Sendek. Austin D. Sendek 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.
Sendek, Austin D. & Venkatasubramanian Viswanathan. (2025). Artificial Intelligence for Electrolyte Design: Going Beyond the Molecular Paradigm. The Electrochemical Society Interface. 34(2). 39–42. 1 indexed citations
2.
Grundish, Nicholas S., et al.. (2024). Predicting Anion Redox in Secondary Battery Cathode Materials with a Data-Driven Model. The Journal of Physical Chemistry C. 128(40). 16844–16853. 3 indexed citations
3.
Lomeli, Eder G., Daniel Jost, Brian Moritz, et al.. (2024). Predicting Reactivity and Passivation of Solid-State Battery Interfaces. ACS Applied Materials & Interfaces. 16(38). 51584–51594. 5 indexed citations
4.
Ma, Yinxing, Jiayu Wan, Xin Xu, et al.. (2023). Experimental Discovery of a Fast and Stable Lithium Thioborate Solid Electrolyte, Li6+2x[B10S18]Sx (x ≈ 1). ACS Energy Letters. 8(6). 2762–2771. 16 indexed citations
5.
Lomeli, Eder G., et al.. (2023). Electrolyte Coatings for High Adhesion Interfaces in Solid-State Batteries from First Principles. ACS Applied Materials & Interfaces. 15(37). 44394–44403. 7 indexed citations
7.
Sendek, Austin D., et al.. (2022). Machine Learning Modeling for Accelerated Battery Materials Design in the Small Data Regime. Advanced Energy Materials. 12(31). 78 indexed citations
8.
Sendek, Austin D., et al.. (2022). Temperature Extrapolation of Molecular Dynamics Simulations of Complex Chemistry to Microsecond Timescales Using Kinetic Models: Applications to Hydrocarbon Pyrolysis. Journal of Chemical Theory and Computation. 18(12). 7496–7509. 1 indexed citations
9.
Zhao, Nathan, et al.. (2021). Two low-expansion Li-ion cathode materials with promising multi-property performance. MRS Bulletin. 46(12). 1116–1129. 3 indexed citations
10.
Sendek, Austin D., et al.. (2020). Quantifying the search for solid Li-ion electrolyte materials by anion: A data-driven perspective. Oxford University Research Archive (ORA) (University of Oxford). 45 indexed citations
11.
Sendek, Austin D., Evan R. Antoniuk, Ekin D. Cubuk, et al.. (2020). Combining Superionic Conduction and Favorable Decomposition Products in the Crystalline Lithium–Boron–Sulfur System: A New Mechanism for Stabilizing Solid Li-Ion Electrolytes. ACS Applied Materials & Interfaces. 12(34). 37957–37966. 31 indexed citations
12.
Cubuk, Ekin D., Austin D. Sendek, & Evan J. Reed. (2019). Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data. The Journal of Chemical Physics. 150(21). 214701–214701. 101 indexed citations
13.
Sendek, Austin D., Evan R. Antoniuk, Ekin D. Cubuk, et al.. (2019). A New Solid Li-ion Electrolyte from the Crystalline Lithium-Boron-Sulfur System. SSRN Electronic Journal. 4 indexed citations
14.
Han, Xinpeng, Cheng Liu, Jie Sun, Austin D. Sendek, & Wensheng Yang. (2018). Density functional theory calculations for evaluation of phosphorene as a potential anode material for magnesium batteries. RSC Advances. 8(13). 7196–7204. 97 indexed citations
15.
Cheon, Gowoon, et al.. (2017). Data Mining for New Two- and One-Dimensional Weakly Bonded Solids and Lattice-Commensurate Heterostructures. Nano Letters. 17(3). 1915–1923. 165 indexed citations
16.
Liu, Wei, Seok Woo Lee, Dingchang Lin, et al.. (2017). Enhancing ionic conductivity in composite polymer electrolytes with well-aligned ceramic nanowires. Nature Energy. 2(5). 942 indexed citations breakdown →
17.
Xie, Jin, Austin D. Sendek, Ekin D. Cubuk, et al.. (2017). Atomic Layer Deposition of Stable LiAlF4 Lithium Ion Conductive Interfacial Layer for Stable Cathode Cycling. ACS Nano. 11(7). 7019–7027. 317 indexed citations
18.
Zheng, Guangyuan, Chao Wang, Allen Pei, et al.. (2016). High-Performance Lithium Metal Negative Electrode with a Soft and Flowable Polymer Coating. ACS Energy Letters. 1(6). 1247–1255. 299 indexed citations
19.
Sendek, Austin D., Qian Yang, Ekin D. Cubuk, et al.. (2016). Holistic computational structure screening of more than 12 000 candidates for solid lithium-ion conductor materials. Energy & Environmental Science. 10(1). 306–320. 333 indexed citations
20.
Sendek, Austin D., et al.. (2014). Simulated Cytoskeletal Collapse via Tau Degradation. PLoS ONE. 9(8). e104965–e104965. 4 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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