Edward Kim

2.2k total citations
29 papers, 1.5k citations indexed

About

Edward Kim is a scholar working on Materials Chemistry, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Edward Kim has authored 29 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 5 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. Recurrent topics in Edward Kim's work include Machine Learning in Materials Science (12 papers), X-ray Diffraction in Crystallography (5 papers) and Computational Drug Discovery Methods (5 papers). Edward Kim is often cited by papers focused on Machine Learning in Materials Science (12 papers), X-ray Diffraction in Crystallography (5 papers) and Computational Drug Discovery Methods (5 papers). Edward Kim collaborates with scholars based in United States, Canada and India. Edward Kim's co-authors include Elsa Olivetti, Kevin Huang, Gerbrand Ceder, Andrew McCallum, Adam M. Saunders, Duncan C. MacLaren, Steven Clarke, Jonathan D. Lowenson, Stephen G. Young and Stefanie Jegelka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Chemistry of Materials.

In The Last Decade

Edward Kim

26 papers receiving 1.5k citations

Peers

Edward Kim
Edward O. Pyzer‐Knapp United Kingdom
Christoph Kreisbeck United States
AkshatKumar Nigam Canada
Yuyang Wang United States
Ichigaku Takigawa Japan
Loı̈c M. Roch Switzerland
Felipe Oviedo United States
Ryo Yoshida Japan
Philip Adler United Kingdom
Kei Terayama Japan
Edward O. Pyzer‐Knapp United Kingdom
Edward Kim
Citations per year, relative to Edward Kim Edward Kim (= 1×) peers Edward O. Pyzer‐Knapp

Countries citing papers authored by Edward Kim

Since Specialization
Citations

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

Fields of papers citing papers by Edward Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Edward Kim. A scholar is included among the top collaborators of Edward Kim 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 Edward Kim. Edward Kim 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, Edward. (2025). CEO bargaining power and compensation. Financial Review. 60(3). 1033–1061.
2.
Ko, Young‐Jin, Hyo Sang Jeon, Edward Kim, et al.. (2025). Tailored Reconstruction of Polycrystalline CuO Nanorods Promotes C─C Coupling in CO 2 Electroreduction. Advanced Functional Materials. 36(5). 1 indexed citations
3.
Tripathi, Satvik, K. R. Gabriel, Pushpendra Kumar Tripathi, & Edward Kim. (2024). Large language models reshaping molecular biology and drug development. Chemical Biology & Drug Design. 103(6). e14568–e14568. 6 indexed citations
4.
Kim, Edward, et al.. (2024). Structured Extraction of Real World Medical Knowledge using LLMs for Summarization and Search. 3421–3430. 2 indexed citations
5.
Kim, Edward, et al.. (2021). Linking Sparse Coding Dictionaries for Representation Learning. 84–87. 1 indexed citations
6.
Kenyon, Garrett T., et al.. (2021). A Surrogate of Slow-Wave Sleep is Necessary for Stable Unsupervised Learning in a Model of Cortical Development. Biological Psychiatry. 89(9). S30–S31. 1 indexed citations
7.
8.
Kim, Edward, et al.. (2020). Machine-learned metrics for predicting the likelihood of success in materials discovery. npj Computational Materials. 6(1). 24 indexed citations
9.
Olivetti, Elsa, Jacqueline M. Cole, Edward Kim, et al.. (2020). Data-driven materials research enabled by natural language processing and information extraction. Applied Physics Reviews. 7(4). 198 indexed citations
10.
Kim, Edward, Zach Jensen, Kevin Huang, et al.. (2020). Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. Journal of Chemical Information and Modeling. 60(3). 1194–1201. 104 indexed citations
11.
Kim, Edward, et al.. (2020). Design space visualization for guiding investments in biodegradable and sustainably sourced materials. MRS Communications. 10(1). 18–24. 3 indexed citations
12.
Jensen, Zach, Edward Kim, Soonhyoung Kwon, et al.. (2019). A Machine Learning Approach to Zeolite Synthesis Enabled by Automatic Literature Data Extraction. ACS Central Science. 5(5). 892–899. 206 indexed citations
13.
Kim, Edward, Kevin Huang, Olga Kononova, Gerbrand Ceder, & Elsa Olivetti. (2019). Distilling a Materials Synthesis Ontology. Matter. 1(1). 8–12. 30 indexed citations
14.
Kim, Edward, Kevin Huang, Sara Matthews, et al.. (2017). Machine-learned and codified synthesis parameters of oxide materials. Scientific Data. 4(1). 170127–170127. 126 indexed citations
15.
Kim, Edward, Kevin Huang, Stefanie Jegelka, & Elsa Olivetti. (2017). Virtual screening of inorganic materials synthesis parameters with deep learning. npj Computational Materials. 3(1). 146 indexed citations
16.
Kim, Edward, Robert J. Brunner, & M. Carrasco Kind. (2015). A hybrid ensemble learning approach to star–galaxy classification. Monthly Notices of the Royal Astronomical Society. 453(1). 507–521. 27 indexed citations
17.
18.
Kim, Edward, et al.. (2015). Fabrication and Characterization of Thin Film Nickel Hydroxide Electrodes for Micropower Applications. ACS Applied Materials & Interfaces. 7(23). 12797–12808. 7 indexed citations
19.
Kim, Edward, Ning Chen, Jeffrey A. Warner, et al.. (2013). Multiple Scattering Debye-Waller Factors for Arsenate. Journal of Physics Conference Series. 430. 12086–12086. 2 indexed citations
20.
Chen, Ning, et al.. (2013). XAFS Study of Arsenical Nickel Hydroxide. Journal of Physics Conference Series. 430. 12092–12092. 2 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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2026