Richard Tran

72 total papers · 2.1k total citations
22 papers, 1.6k citations indexed

About

Richard Tran is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Polymers and Plastics. According to data from OpenAlex, Richard Tran has authored 22 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 5 papers in Electrical and Electronic Engineering and 4 papers in Polymers and Plastics. Recurrent topics in Richard Tran's work include Machine Learning in Materials Science (6 papers), Transition Metal Oxide Nanomaterials (4 papers) and Electronic and Structural Properties of Oxides (3 papers). Richard Tran is often cited by papers focused on Machine Learning in Materials Science (6 papers), Transition Metal Oxide Nanomaterials (4 papers) and Electronic and Structural Properties of Oxides (3 papers). Richard Tran collaborates with scholars based in United States, China and United Kingdom. Richard Tran's co-authors include Shyue Ping Ong, Kristin A. Persson, Donny Winston, Balachandran Radhakrishnan, Zihan Xu, Wenhao Sun, Xiangguo Li, Chi Chen, Hui Zheng and Matthew K. Horton and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Chemical Physics.

In The Last Decade

Richard Tran

22 papers receiving 1.5k citations

Hit Papers

Surface energies of eleme... 2016 2026 2019 2022 2016 2023 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Richard Tran 1.1k 402 306 250 162 22 1.6k
Mira Todorova 1.1k 1.0× 372 0.9× 169 0.6× 296 1.2× 255 1.6× 35 1.5k
Donny Winston 1.2k 1.2× 729 1.8× 238 0.8× 356 1.4× 234 1.4× 22 2.1k
Balachandran Radhakrishnan 875 0.8× 853 2.1× 230 0.8× 148 0.6× 142 0.9× 19 1.6k
Jonathan E. Mueller 840 0.8× 539 1.3× 98 0.3× 293 1.2× 234 1.4× 48 1.5k
Edward A. Kenik 900 0.8× 400 1.0× 339 1.1× 256 1.0× 123 0.8× 45 1.5k
Nadi Braidy 1.2k 1.1× 302 0.8× 248 0.8× 200 0.8× 241 1.5× 63 1.8k
Qi‐Jun Hong 915 0.9× 166 0.4× 397 1.3× 130 0.5× 108 0.7× 39 1.3k
Edward R. White 877 0.8× 357 0.9× 123 0.4× 289 1.2× 141 0.9× 24 1.4k
A. Y. Lozovoi 941 0.9× 261 0.6× 669 2.2× 191 0.8× 419 2.6× 28 1.5k
G.D.W. Smith 1.4k 1.3× 204 0.5× 531 1.7× 461 1.8× 208 1.3× 19 2.2k

Countries citing papers authored by Richard Tran

Since Specialization
Citations

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

Fields of papers citing papers by Richard Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Tran

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Tran. A scholar is included among the top collaborators of Richard Tran 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 Richard Tran. Richard Tran 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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