Patrick K. Herring

5.3k total citations · 3 hit papers
26 papers, 3.8k citations indexed

About

Patrick K. Herring is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, Patrick K. Herring has authored 26 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 8 papers in Automotive Engineering and 8 papers in Materials Chemistry. Recurrent topics in Patrick K. Herring's work include Advancements in Battery Materials (10 papers), Advanced Battery Technologies Research (8 papers) and Advanced Battery Materials and Technologies (5 papers). Patrick K. Herring is often cited by papers focused on Advancements in Battery Materials (10 papers), Advanced Battery Technologies Research (8 papers) and Advanced Battery Materials and Technologies (5 papers). Patrick K. Herring collaborates with scholars based in United States, United Kingdom and Switzerland. Patrick K. Herring's co-authors include Muratahan Aykol, Richard D. Braatz, William C. Chueh, Peter M. Attia, Stephen J. Harris, Kristen Severson, Zi Yang, Norman Jin, Michael H. Chen and Martin Z. Bazant and has published in prestigious journals such as Nature, Nature Communications and Nano Letters.

In The Last Decade

Patrick K. Herring

25 papers receiving 3.7k citations

Hit Papers

Data-driven prediction of battery cycle life before capac... 2019 2026 2021 2023 2019 2020 2025 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick K. Herring United States 18 2.9k 2.7k 632 455 446 26 3.8k
Norman Jin United States 9 2.9k 1.0× 2.7k 1.0× 355 0.6× 415 0.9× 384 0.9× 11 3.5k
Peter M. Attia United States 16 3.3k 1.2× 3.3k 1.2× 354 0.6× 485 1.1× 442 1.0× 25 4.0k
Dimitrios Fraggedakis United States 17 2.7k 0.9× 2.4k 0.9× 279 0.4× 354 0.8× 314 0.7× 22 3.5k
Jingyuan Zhao China 30 1.8k 0.6× 1.3k 0.5× 734 1.2× 137 0.3× 393 0.9× 97 3.0k
Afida Ayob Malaysia 26 3.3k 1.1× 3.0k 1.1× 207 0.3× 306 0.7× 803 1.8× 91 4.2k
Kandler Smith United States 49 6.9k 2.4× 6.5k 2.4× 273 0.4× 172 0.4× 513 1.2× 151 7.6k
Jason B. Siegel United States 39 4.4k 1.5× 3.9k 1.4× 311 0.5× 154 0.3× 484 1.1× 162 5.1k
Nagarajan Raghavan Singapore 29 2.2k 0.8× 485 0.2× 666 1.1× 225 0.5× 157 0.4× 261 3.5k
Zhongliang Li China 28 2.2k 0.8× 1.0k 0.4× 409 0.6× 83 0.2× 496 1.1× 129 2.6k

Countries citing papers authored by Patrick K. Herring

Since Specialization
Citations

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

Fields of papers citing papers by Patrick K. Herring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick K. Herring. 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 Patrick K. Herring. The network helps show where Patrick K. Herring may publish in the future.

Co-authorship network of co-authors of Patrick K. Herring

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick K. Herring. A scholar is included among the top collaborators of Patrick K. Herring 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 Patrick K. Herring. Patrick K. Herring 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.
Attia, Peter M., et al.. (2025). Challenges and opportunities for high-quality battery production at scale. Nature Communications. 16(1). 611–611. 37 indexed citations breakdown →
2.
Jiang, Benben, William E. Gent, Fabian Mohr, et al.. (2021). Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols. Joule. 5(12). 3187–3203. 89 indexed citations
3.
Hughes, Lauren A., Benjamin H. Savitzky, Haitao Deng, et al.. (2021). Correlative analysis of structure and chemistry of LixFePO4 platelets using 4D-STEM and X-ray ptychography. Materials Today. 52. 102–111. 11 indexed citations
4.
Aykol, Muratahan, Chirranjeevi Balaji Gopal, Abraham Anapolsky, et al.. (2021). Perspective—Combining Physics and Machine Learning to Predict Battery Lifetime. Journal of The Electrochemical Society. 168(3). 30525–30525. 174 indexed citations
5.
Jiang, Benben, Marc D. Berliner, Kun Lai, et al.. (2021). Fast charging design for Lithium-ion batteries via Bayesian optimization. Applied Energy. 307. 118244–118244. 61 indexed citations
6.
Attia, Peter M., Aditya Grover, Norman Jin, et al.. (2020). Closed-loop optimization of fast-charging protocols for batteries with machine learning. Nature. 578(7795). 397–402. 748 indexed citations breakdown →
7.
Savitzky, Benjamin H., Steven E. Zeltmann, Lauren A. Hughes, et al.. (2020). Towards Automated Classification of Complex 4D-STEM Datasets. Microscopy and Microanalysis. 26(S2). 722–723. 1 indexed citations
8.
Aykol, Muratahan, Patrick K. Herring, & Abraham Anapolsky. (2020). Machine learning for continuous innovation in battery technologies. Nature Reviews Materials. 5(10). 725–727. 187 indexed citations
9.
Herring, Patrick K., Chirranjeevi Balaji Gopal, Muratahan Aykol, et al.. (2020). BEEP: A Python library for Battery Evaluation and Early Prediction. SoftwareX. 11. 100506–100506. 38 indexed citations
10.
Aykol, Muratahan, Vinay I. Hegde, Linda Hung, et al.. (2019). Network analysis of synthesizable materials discovery. Nature Communications. 10(1). 2018–2018. 85 indexed citations
11.
Savitzky, Benjamin H., Lauren Hughes, Karen C. Bustillo, et al.. (2019). py4DSTEM: Open Source Software for 4D-STEM Data Analysis. Microscopy and Microanalysis. 25(S2). 124–125. 20 indexed citations
12.
Hsu, Allen, Patrick K. Herring, Nathaniel M. Gabor, et al.. (2015). Graphene-Based Thermopile for Thermal Imaging Applications. Nano Letters. 15(11). 7211–7216. 86 indexed citations
13.
Herring, Patrick K., Allen Hsu, Nathaniel M. Gabor, et al.. (2014). Photoresponse of an Electrically Tunable Ambipolar Graphene Infrared Thermocouple. Nano Letters. 14(2). 901–907. 39 indexed citations
14.
Schmid, Silvan, T. Bagci, Emil Zeuthen, et al.. (2014). Single-layer graphene on silicon nitride micromembrane resonators. Journal of Applied Physics. 115(5). 22 indexed citations
15.
Frenzel, Alex, Chun Hung Lui, Wenjing Fang, et al.. (2013). Observation of suppressed terahertz absorption in photoexcited graphene. Applied Physics Letters. 102(11). 64 indexed citations
16.
Kuemmeth, Ferdinand, Hugh Churchill, Patrick K. Herring, & C. M. Marcus. (2010). Carbon nanotubes for coherent spintronics. Materials Today. 13(3). 18–26. 59 indexed citations
17.
Petrelli, Daniela, Micheline Beaulieu, Mark Sanderson, et al.. (2004). Observing users, designing clarity: A case study on the user‐centered design of a cross‐language information retrieval system. Journal of the American Society for Information Science and Technology. 55(10). 923–934. 38 indexed citations
18.
Petrelli, Daniela, George Demetriou, Patrick K. Herring, Micheline Beaulieu, & Mark Sanderson. (2002). Is query translation a distinct task from search. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 1 indexed citations
19.
Gaizauskas, Robert, et al.. (2001). Intelligent access to text. 1–5. 13 indexed citations
20.

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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