Edward Kim

67 total papers · 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, Stephen G. Young, Duncan C. MacLaren, Jonathan D. Lowenson, Steven Clarke 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Edward Kim 1.0k 297 250 243 191 29 1.5k
Edward O. Pyzer‐Knapp 922 0.9× 347 1.2× 120 0.5× 225 0.9× 246 1.3× 44 1.6k
Alexander Dunn 1.3k 1.3× 301 1.0× 330 1.3× 129 0.5× 354 1.9× 14 1.9k
Robert Pollice 761 0.8× 322 1.1× 110 0.4× 212 0.9× 358 1.9× 39 1.6k
Christoph Kreisbeck 836 0.8× 269 0.9× 156 0.6× 317 1.3× 343 1.8× 26 1.7k
John Dagdelen 976 1.0× 219 0.7× 386 1.5× 143 0.6× 232 1.2× 11 1.6k
Vahe Tshitoyan 929 0.9× 247 0.8× 334 1.3× 124 0.5× 270 1.4× 12 1.5k
Simon Batzner 1.7k 1.7× 525 1.8× 155 0.6× 372 1.5× 391 2.0× 17 2.2k
AkshatKumar Nigam 796 0.8× 586 2.0× 136 0.5× 377 1.6× 145 0.8× 14 1.3k
Kevin Huang 730 0.7× 224 0.8× 442 1.8× 92 0.4× 238 1.2× 69 1.5k
Hanyu Gao 882 0.9× 444 1.5× 126 0.5× 326 1.3× 133 0.7× 56 1.7k

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

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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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