Joshua Schrier

6.7k total citations · 3 hit papers
90 papers, 4.8k citations indexed

About

Joshua Schrier is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Inorganic Chemistry. According to data from OpenAlex, Joshua Schrier has authored 90 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Materials Chemistry, 22 papers in Electrical and Electronic Engineering and 20 papers in Inorganic Chemistry. Recurrent topics in Joshua Schrier's work include Machine Learning in Materials Science (22 papers), Crystal Structures and Properties (12 papers) and Quantum Dots Synthesis And Properties (12 papers). Joshua Schrier is often cited by papers focused on Machine Learning in Materials Science (22 papers), Crystal Structures and Properties (12 papers) and Quantum Dots Synthesis And Properties (12 papers). Joshua Schrier collaborates with scholars based in United States, Canada and Germany. Joshua Schrier's co-authors include Alexander J. Norquist, Mat­thias Zeller, Sorelle A. Friedler, Philip Adler, Katherine C. Elbert, Malia B. Wenny, Paul Raccuglia, Aurelio Mollo, A. Paul Alivisatos and D. O. Demchenko and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Joshua Schrier

87 papers receiving 4.7k citations

Hit Papers

Machine-learning-assisted materials discovery using faile... 2016 2026 2019 2022 2016 2021 2025 400 800 1.2k
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. Machine-learning-assisted materials discovery using failed experiments
    2016 1.3k citations Paul Raccuglia, Katherine C. Elbert et al. Nature profile →
  2. Machine Learning: New Ideas and Tools in Environmental Science and Engineering
    2021 725 citations Joshua Schrier et al. profile →
  3. Science acceleration and accessibility with self-driving labs
    2025 21 citations Joshua Schrier et al. Nature Communications profile →

Peers

Joshua Schrier
Wencong Lu China
Xiang Wang China
T. Yong-Jin Han United States
Yongjin Lee South Korea
Jinjin Li China
Chiho Kim United States
Alex Yokochi United States
Abhijit Chatterjee India
Marc‐Olivier Coppens United Kingdom
Yangyang Li China
Wencong Lu China
Joshua Schrier
Citations per year, relative to Joshua Schrier Joshua Schrier (= 1×) peers Wencong Lu

Countries citing papers authored by Joshua Schrier

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Schrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Schrier

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Schrier. A scholar is included among the top collaborators of Joshua Schrier 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 Joshua Schrier. Joshua Schrier 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.
Kim, Seong-Min, Joshua Schrier, & Yousung Jung. (2025). Explainable Synthesizability Prediction of Inorganic Crystal Polymorphs Using Large Language Models. Angewandte Chemie International Edition. 64(19). e202423950–e202423950. 7 indexed citations
2.
Aspuru‐Guzik, Alán, Jason E. Hein, & Joshua Schrier. (2025). Commit: Mini article for dynamic reporting of incremental improvements to previous scholarly work. Digital Discovery. 4(2). 301–302.
3.
Zhang, B. Y., Aurora E. Clark, Danny Pérez, et al.. (2025). Creation of the Separation Archive for Elements (SAFE) Database. Solvent Extraction and Ion Exchange. 43(7). 847–852.
4.
Kim, Seong-Min, Yousung Jung, & Joshua Schrier. (2024). Large Language Models for Inorganic Synthesis Predictions. Journal of the American Chemical Society. 146(29). 19654–19659. 28 indexed citations
5.
Wang, Yufei, Enrique R. Batista, Stosh A. Kozimor, et al.. (2024). Advancing Rare-Earth (4f) and Actinide (5f) Separation through Machine Learning and Automated High-Throughput Experiments. ACS Sustainable Chemistry & Engineering. 12(45). 16692–16699. 3 indexed citations
6.
Hein, Jason E. & Joshua Schrier. (2024). Guidelines for hardware-focused articles. Digital Discovery. 3(3). 447–448. 2 indexed citations
7.
Norquist, Alexander J., et al.. (2023). A Modern Twist on an Old Measurement: Using Laboratory Automation and Data Science to Determine the Solubility Product of Lead Iodide. Journal of Chemical Education. 100(9). 3445–3453. 2 indexed citations
8.
Li, Zhi, Nicholas Leiby, Mat­thias Zeller, et al.. (2022). Spatiotemporal Route to Understanding Metal Halide Perovskitoid Crystallization. Chemistry of Materials. 34(12). 5386–5396. 3 indexed citations
9.
Li, Zhi, Chaochao Dun, Mat­thias Zeller, et al.. (2022). Dimensional Control over Metal Halide Perovskite Crystallization Guided by Active Learning. Chemistry of Materials. 34(2). 756–767. 22 indexed citations
10.
Yano, Junko, Kelly J. Gaffney, John M. Gregoire, et al.. (2022). The case for data science in experimental chemistry: examples and recommendations. Nature Reviews Chemistry. 6(5). 357–370. 53 indexed citations
11.
LeSuer, Robert J., et al.. (2022). Sidekick: A Low-Cost Open-Source 3D-printed liquid dispensing robot. HardwareX. 12. e00319–e00319. 22 indexed citations
12.
Ai, Qianxiang, et al.. (2021). Predicting inorganic dimensionality in templated metal oxides. The Journal of Chemical Physics. 154(18). 184708–184708. 7 indexed citations
13.
Li, Zhi, Mansoor Ani Najeeb, Ian M. Pendleton, et al.. (2020). Robot-Accelerated Perovskite Investigation and Discovery. Chemistry of Materials. 32(13). 5650–5663. 135 indexed citations
14.
Nisbet, Matthew L., Ian M. Pendleton, Gene M. Nolis, et al.. (2020). Machine-Learning-Assisted Synthesis of Polar Racemates. Journal of the American Chemical Society. 142(16). 7555–7566. 26 indexed citations
15.
Xu, Rosalind J., Jacob H. Olshansky, Philip Adler, et al.. (2018). Understanding structural adaptability: a reactant informatics approach to experiment design. Molecular Systems Design & Engineering. 3(3). 473–484. 11 indexed citations
16.
Yao, Bowen, et al.. (2017). Gas Separation through Bilayer Silica, the Thinnest Possible Silica Membrane. ACS Applied Materials & Interfaces. 9(49). 43061–43071. 35 indexed citations
17.
Raccuglia, Paul, Katherine C. Elbert, Philip Adler, et al.. (2016). Machine-learning-assisted materials discovery using failed experiments. Nature. 533(7601). 73–76. 1251 indexed citations breakdown →
18.
Adler, Philip, Rosalind J. Xu, Jacob H. Olshansky, et al.. (2015). Probing structural adaptability in templated vanadium selenites. Polyhedron. 114. 184–193. 8 indexed citations
19.
Olshansky, Jacob H., T. Thao Tran, Mat­thias Zeller, et al.. (2012). Role of Hydrogen-Bonding in the Formation of Polar Achiral and Nonpolar Chiral Vanadium Selenite Frameworks. Inorganic Chemistry. 51(20). 11040–11048. 24 indexed citations
20.
Sokolov, Anatoliy N., Şule Atahan-Evrenk, Rajib Mondal, et al.. (2011). From computational discovery to experimental characterization of a high hole mobility organic crystal. Nature Communications. 2(1). 437–437. 319 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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