Jared Mitchell

543 total citations
7 papers, 367 citations indexed

About

Jared Mitchell is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, Jared Mitchell has authored 7 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 4 papers in Automotive Engineering and 4 papers in Materials Chemistry. Recurrent topics in Jared Mitchell's work include Advanced Battery Technologies Research (4 papers), Machine Learning in Materials Science (4 papers) and Advancements in Battery Materials (3 papers). Jared Mitchell is often cited by papers focused on Advanced Battery Technologies Research (4 papers), Machine Learning in Materials Science (4 papers) and Advancements in Battery Materials (3 papers). Jared Mitchell collaborates with scholars based in United States. Jared Mitchell's co-authors include Jay Whitacre, Venkatasubramanian Viswanathan, Adarsh Dave, Sven Burke, Kirthevasan Kandasamy, Biswajit Paria, Barnabás Póczos, Han Wang, Ziwen Ye and Jeffrey A. Kowalski and has published in prestigious journals such as Nature Communications, Journal of The Electrochemical Society and Journal of Power Sources.

In The Last Decade

Jared Mitchell

7 papers receiving 351 citations

Peers

Jared Mitchell

EEE

AE

MC

CSE

BE

Adarsh Dave United States

Fabian Årén Sweden

Kevin W. Gao United States

Jiayu Yu China

Eibar Flores Denmark

Wenna Zhang China

Priyanka Gupta India

Kwang-Heon Kim South Korea

Sehwan Moon South Korea

Diego E. Galvez‐Aranda United States

Adarsh Dave United States

Jared Mitchell

202 ×0.8

EEE

116 ×0.6

AE

141 ×1.1

MC

24 ×0.8

CSE

31 ×1.0

BE

Citations per year, relative to Jared Mitchell Jared Mitchell (= 1×) peers Adarsh Dave

Countries citing papers authored by Jared Mitchell

Since Specialization

Citations

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

Fields of papers citing papers by Jared Mitchell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jared Mitchell

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

All Works

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7 of 7 papers shown

1.

Kowalski, Jeffrey A., et al.. (2022). Avoiding thermal runaway in lithium-ion batteries using ultrasound detection of early failure mechanisms. Journal of Power Sources. 535. 231423–231423. 78 indexed citations

2.

Dave, Adarsh, et al.. (2022). Autonomous optimization of non-aqueous Li-ion battery electrolytes via robotic experimentation and machine learning coupling. Nature Communications. 13(1). 5454–5454. 111 indexed citations

3.

Dave, Adarsh, et al.. (2021). Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning. arXiv (Cornell University). 2 indexed citations

4.

Dave, Adarsh, Jared Mitchell, Kirthevasan Kandasamy, et al.. (2020). Autonomous Discovery of Battery Electrolytes with Robotic Experimentation and Machine Learning. Cell Reports Physical Science. 1(12). 100264–100264. 123 indexed citations

5.

Whitacre, Jay, Jared Mitchell, Adarsh Dave, et al.. (2019). An Autonomous Electrochemical Test Stand for Machine Learning Informed Electrolyte Optimization. Journal of The Electrochemical Society. 166(16). A4181–A4187. 29 indexed citations

6.

Dave, Adarsh, Kevin L. Gering, Jared Mitchell, Jay Whitacre, & Venkatasubramanian Viswanathan. (2019). Benchmarking Conductivity Predictions of the Advanced Electrolyte Model (AEM) for Aqueous Systems. Journal of The Electrochemical Society. 167(1). 13514–13514. 17 indexed citations

7.

Swalve, Natashia, et al.. (2017). Sex-specific attenuation of impulsive action by progesterone in a go/no-go task for cocaine in rats. Psychopharmacology. 235(1). 135–143. 7 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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