Richard Tran

2.2k citations
22 papers · 1.6k indexed · 2 hit papers · h-index 12
Topics
Machine Learning in Materials Science (6 papers)Transition Metal Oxide Nanomaterials (4 papers)Electronic and Structural Properties of Oxides (3 papers)

In The Last Decade

Richard Tran

22 papers receiving 1.6k citations

Hit Papers

Surface energies of elemental crystals201620262019202220162023250500750

Peers

Richard Tran
Comparison fields: 5 of 85
  • Materials Chemistry 1.1k
  • Electrical and Electronic Engineering 415
  • Mechanical Engineering 314
  • Renewable Energy, Sustainability and the Environment 257
  • Atomic and Molecular Physics, and Optics 163
Replace Mira Todorova with:
Mira Todorova Germany
Donny Winston United States
Zihan Xu United States
Matthew K. Horton United States
Alexander Thompson United States
Venkatesh Botu United States
Zhi Deng United States
Fedwa El‐Mellouhi Qatar
O. Aaboubi France
Qi‐Jun Hong United States
Richard Tran relative to Mira Todorova Germany Mira Todorova's profile →
Citations per field
00.5×1.5×2.0×
Mira Todorova · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 7
4 6
5
The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalystsbreakdown →
174
6 15
7 1
8 6
9 28
10 10
11 10
12 19
13 21
14 110
15 183
16 110
17 22
18
Surface energies of elemental crystalsbreakdown →
763
19 10
20 85

About Richard Tran

Richard Tran is a scholar working on Catalysis, Polymers and Plastics and Surfaces, Coatings and Films, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Transition Metal Oxide Nanomaterials (4 papers) and Electronic and Structural Properties of Oxides (3 papers). The work is most often cited by research in Metals and Alloys (78 citations), Materials Chemistry (1.1k citations) and Catalysis (154 citations). Richard Tran has collaborated with scholars based in United States, China and United Kingdom. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Chemical Physics.

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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