Kristin A. Persson

63.7k total citations · 31 hit papers
365 papers, 48.2k citations indexed

About

Kristin A. Persson is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Inorganic Chemistry. According to data from OpenAlex, Kristin A. Persson has authored 365 papers receiving a total of 48.2k indexed citations (citations by other indexed papers that have themselves been cited), including 208 papers in Materials Chemistry, 164 papers in Electrical and Electronic Engineering and 40 papers in Inorganic Chemistry. Recurrent topics in Kristin A. Persson's work include Machine Learning in Materials Science (122 papers), Advancements in Battery Materials (112 papers) and Advanced Battery Materials and Technologies (100 papers). Kristin A. Persson is often cited by papers focused on Machine Learning in Materials Science (122 papers), Advancements in Battery Materials (112 papers) and Advanced Battery Materials and Technologies (100 papers). Kristin A. Persson collaborates with scholars based in United States, China and United Kingdom. Kristin A. Persson's co-authors include Gerbrand Ceder, Anubhav Jain, Shyue Ping Ong, Geoffroy Hautier, Wei Chen, Dan Gunter, William D. Richards, Shreyas Cholia, Stephen Dacek and David Skinner and has published in prestigious journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Kristin A. Persson

354 papers receiving 47.4k citations

Hit Papers

Commentary: The Materials Project: A materials genome app... 2010 2026 2015 2020 2013 2012 2020 2011 2017 2.5k 5.0k 7.5k
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. Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
    2013 9.2k citations Anubhav Jain, Shyue Ping Ong et al. profile →
  2. Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis
    2012 3.1k citations Shyue Ping Ong, Anubhav Jain et al. Computational Materials Science profile →
  3. Promises and Challenges of Next-Generation “Beyond Li-ion” Batteries for Electric Vehicles and Grid Decarbonization
    2020 1.2k citations Haegyeom Kim, Julius Koettgen et al. profile →
  4. Formation enthalpies by mixing GGA and GGA+Ucalculations
    2011 1.0k citations Anubhav Jain, Geoffroy Hautier et al. profile →
  5. Odyssey of Multivalent Cathode Materials: Open Questions and Future Challenges
    2017 1.0k citations Kristin A. Persson, Gerbrand Ceder et al. profile →
  6. A high-throughput infrastructure for density functional theory calculations
    2011 842 citations Anubhav Jain, Geoffroy Hautier et al. Computational Materials Science profile →
  7. Charting the complete elastic properties of inorganic crystalline compounds
    2015 792 citations Wei Chen, Anubhav Jain et al. profile →
  8. Surface energies of elemental crystals
    2016 763 citations Kristin A. Persson, Shyue Ping Ong et al. profile →
  9. Lithium Diffusion in Graphitic Carbon
    2010 720 citations Kristin A. Persson, Venkat Srinivasan et al. The Journal of Physical Chemistry Letters profile →
  10. Unsupervised word embeddings capture latent knowledge from materials science literature
    2019 698 citations John Dagdelen, Kristin A. Persson et al. Nature profile →
  11. Matminer: An open source toolkit for materials data mining
    2018 675 citations Mark Asta, Kristin A. Persson et al. Computational Materials Science profile →
  12. The thermodynamic scale of inorganic crystalline metastability
    2016 671 citations Shyue Ping Ong, Geoffroy Hautier et al. profile →
  13. Computational predictions of energy materials using density functional theory
    2016 658 citations Anubhav Jain, Kristin A. Persson et al. profile →
  14. Accelerating the discovery of materials for clean energy in the era of smart automation
    2018 572 citations Shyam Dwaraknath, Kristin A. Persson et al. profile →
  15. Materials Design Rules for Multivalent Ion Mobility in Intercalation Structures
    2015 485 citations Anubhav Jain, Kristin A. Persson et al. profile →
  16. The origin of high electrolyte–electrode interfacial resistances in lithium cells containing garnet type solid electrolytes
    2014 471 citations Wei Chen, Kristin A. Persson et al. Physical Chemistry Chemical Physics profile →
  17. Spinel compounds as multivalent battery cathodes: a systematic evaluation based on ab initio calculations
    2014 464 citations Anubhav Jain, Gerbrand Ceder et al. profile →
  18. Lattice instabilities in metallic elements
    2012 452 citations Kristin A. Persson et al. profile →
  19. An autonomous laboratory for the accelerated synthesis of inorganic materials
    2023 451 citations Nathan J. Szymanski, Bernardus Rendy et al. Nature profile →
  20. Uncharted Waters: Super-Concentrated Electrolytes
    2020 448 citations Kristin A. Persson, Kang Xu et al. Joule profile →
  21. Efficient calculation of carrier scattering rates from first principles
    2021 412 citations Kristin A. Persson, Anubhav Jain et al. Nature Communications profile →
  22. A Review on Challenges and Successes in Atomic-Scale Design of Catalysts for Electrochemical Synthesis of Hydrogen Peroxide
    2020 405 citations Kristin A. Persson et al. profile →
  23. FireWorks: a dynamic workflow system designed for high‐throughput applications
    2015 393 citations Anubhav Jain, Shyue Ping Ong et al. Concurrency and Computation Practice and Experience profile →
  24. The influence of FEC on the solvation structure and reduction reaction of LiPF6/EC electrolytes and its implication for solid electrolyte interphase formation
    2019 365 citations Nav Nidhi Rajput, Kristin A. Persson et al. profile →
  25. Combining theory and experiment in lithium–sulfur batteries: Current progress and future perspectives
    2018 359 citations Kristin A. Persson et al. profile →
  26. Thermodynamic and kinetic properties of the Li-graphite system from first-principles calculations
    2010 358 citations Kristin A. Persson, Gerbrand Ceder et al. profile →
  27. Machine Learning for Materials Scientists: An Introductory Guide toward Best Practices
    2020 323 citations Kristin A. Persson et al. profile →
  28. Structured information extraction from scientific text with large language models
    2024 225 citations John Dagdelen, Andrew Rosen et al. Nature Communications profile →
  29. Enabling selective zinc-ion intercalation by a eutectic electrolyte for practical anodeless zinc batteries
    2023 223 citations Chang Li, Ryan Kingsbury et al. Nature Communications profile →
  30. Systematic softening in universal machine learning interatomic potentials
    2025 51 citations Bowen Deng, Peichen Zhong et al. npj Computational Materials profile →
  31. A framework to evaluate machine learning crystal stability predictions
    2025 29 citations Janosh Riebesell, Rhys E. A. Goodall et al. Nature Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kristin A. Persson United States 100 27.4k 25.0k 5.7k 5.3k 5.1k 365 48.2k
Shyue Ping Ong United States 81 22.7k 0.8× 20.0k 0.8× 3.6k 0.6× 3.9k 0.7× 2.8k 0.6× 194 37.2k
Geoffroy Hautier United States 58 20.4k 0.7× 14.2k 0.6× 4.4k 0.8× 1.8k 0.3× 3.2k 0.6× 189 30.2k
Ying Chen China 98 23.0k 0.8× 16.0k 0.6× 6.8k 1.2× 2.1k 0.4× 8.6k 1.7× 1.1k 43.5k
Anubhav Jain United States 62 21.1k 0.8× 12.9k 0.5× 3.6k 0.6× 1.8k 0.3× 2.7k 0.5× 175 31.4k
Clare P. Grey United Kingdom 120 16.6k 0.6× 41.0k 1.6× 14.6k 2.5× 11.7k 2.2× 3.0k 0.6× 723 57.1k
Ju Li United States 127 33.2k 1.2× 27.8k 1.1× 8.1k 1.4× 8.7k 1.6× 4.5k 0.9× 827 65.5k
Xiaojun Wu China 107 23.7k 0.9× 20.4k 0.8× 4.9k 0.9× 1.7k 0.3× 15.9k 3.1× 603 42.4k
Peng Wang China 87 13.9k 0.5× 14.6k 0.6× 4.3k 0.8× 1.4k 0.3× 6.3k 1.2× 845 29.9k
Weitao Zheng China 100 22.0k 0.8× 20.1k 0.8× 6.9k 1.2× 1.2k 0.2× 9.8k 1.9× 1.1k 41.0k
Qing Jiang China 105 24.2k 0.9× 16.3k 0.7× 6.3k 1.1× 1.3k 0.2× 15.0k 3.0× 1.1k 45.3k

Countries citing papers authored by Kristin A. Persson

Since Specialization
Citations

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

Fields of papers citing papers by Kristin A. Persson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kristin A. Persson. 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 Kristin A. Persson. The network helps show where Kristin A. Persson may publish in the future.

Co-authorship network of co-authors of Kristin A. Persson

This figure shows the co-authorship network connecting the top 25 collaborators of Kristin A. Persson. A scholar is included among the top collaborators of Kristin A. Persson 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 Kristin A. Persson. Kristin A. Persson 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.
Riebesell, Janosh, Rhys E. A. Goodall, Philipp Benner, et al.. (2025). A framework to evaluate machine learning crystal stability predictions. Nature Machine Intelligence. 7(6). 836–847. 29 indexed citations breakdown →
2.
Kaplan, Aaron D., et al.. (2025). An Atomistic Study of Reactivity in Solid-State Electrolyte Interphase Formation for Li/Li7P3S11. The Journal of Physical Chemistry C. 129(36). 16043–16054.
3.
Persson, Kristin A., et al.. (2025). Structural origin of disorder-induced ion conduction in NaFePO 4 cathode materials. Journal of Materials Chemistry A. 13(30). 24619–24632.
4.
Rinkel, Bernardine L. D., et al.. (2025). Disordered Rocksalts as High‐Energy and Earth‐Abundant Li‐Ion Cathodes. Advanced Materials. 37(46). e2502766–e2502766. 2 indexed citations
5.
Deng, Bowen, Peichen Zhong, Janosh Riebesell, et al.. (2025). Systematic softening in universal machine learning interatomic potentials. npj Computational Materials. 11(1). 51 indexed citations breakdown →
6.
Li, Chang, Rishabh D. Guha, Stephen D. House, et al.. (2024). A dynamically bare metal interface enables reversible magnesium electrodeposition at 50 mAh cm−2. Joule. 9(2). 101790–101790. 15 indexed citations
7.
Sivonxay, Eric, Max C. Gallant, Matthew J. McDermott, et al.. (2024). The ab initio non-crystalline structure database: empowering machine learning to decode diffusivity. npj Computational Materials. 10(1). 7 indexed citations
8.
Ilić, Stefan, Xiaowei Xie, Zhenzhen Yang, et al.. (2024). Design Principles and Routes for Calcium Alkoxyaluminate Electrolytes. The Journal of Physical Chemistry Letters. 15(19). 5096–5102. 7 indexed citations
9.
Siron, Martin, et al.. (2023). Enabling automated high-throughput Density Functional Theory studies of amorphous material surface reactions. Computational Materials Science. 226. 112192–112192. 4 indexed citations
10.
Szymanski, Nathan J., Bernardus Rendy, Rishi E. Kumar, et al.. (2023). An autonomous laboratory for the accelerated synthesis of inorganic materials. Nature. 624(7990). 86–91. 451 indexed citations breakdown →
11.
Dagdelen, John, Amalie Trewartha, Haoyan Huo, et al.. (2023). COVIDScholar: An automated COVID-19 research aggregation and analysis platform. PLoS ONE. 18(2). e0281147–e0281147. 6 indexed citations
12.
Li, Chang, Ryan Kingsbury, Arashdeep Singh Thind, et al.. (2023). Enabling selective zinc-ion intercalation by a eutectic electrolyte for practical anodeless zinc batteries. Nature Communications. 14(1). 3067–3067. 223 indexed citations breakdown →
13.
Cheng, Jianli, Kara D. Fong, & Kristin A. Persson. (2022). Materials design principles of amorphous cathode coatings for lithium-ion battery applications. Journal of Materials Chemistry A. 10(41). 22245–22256. 26 indexed citations
14.
Li, Chang, Ryan Kingsbury, Laidong Zhou, et al.. (2022). Tuning the Solvation Structure in Aqueous Zinc Batteries to Maximize Zn-Ion Intercalation and Optimize Dendrite-Free Zinc Plating. ACS Energy Letters. 7(1). 533–540. 133 indexed citations
15.
Kingsbury, Ryan, Christopher J. Bartel, Jason M. Munro, et al.. (2022). Performance comparison of r 2 SCAN and SCAN metaGGA density functionals for solid materials via an automated, high-throughput computational workflow. Physical Review Materials. 6(1). 68 indexed citations
16.
Kingsbury, Ryan, Andrew Rosen, Jason M. Munro, et al.. (2022). A flexible and scalable scheme for mixing computed formation energies from different levels of theory. npj Computational Materials. 8(1). 30 indexed citations
17.
Trahey, Lynn, Fikile R. Brushett, Nitash P. Balsara, et al.. (2020). Energy storage emerging: A perspective from the Joint Center for Energy Storage Research. Proceedings of the National Academy of Sciences. 117(23). 12550–12557. 281 indexed citations
18.
Koettgen, Julius, Christopher J. Bartel, Jimmy‐Xuan Shen, Kristin A. Persson, & Gerbrand Ceder. (2020). First-principles study of CaB 12 H 12 as a potential solid-state conductor for Ca. Physical Chemistry Chemical Physics. 22(47). 27600–27604. 11 indexed citations
19.
Pan, Huilin, Junzheng Chen, Ruiguo Cao, et al.. (2017). Non-encapsulation approach for high-performance Li–S batteries through controlled nucleation and growth. Nature Energy. 2(10). 813–820. 373 indexed citations
20.
Jain, Anubhav, Shyue Ping Ong, Wei Chen, et al.. (2015). FireWorks: a dynamic workflow system designed for high‐throughput applications. Concurrency and Computation Practice and Experience. 27(17). 5037–5059. 393 indexed citations breakdown →

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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