Minh C. Tran

19 papers receiving 417 citations

Hit Papers

Chemistry beyond the scale of exact diagonalization on a ...2025202620255101520

Peers

Minh C. Tran
Comparison fields: 5 of 33
  • Atomic and Molecular Physics, and Optics 344
  • Artificial Intelligence 309
  • Statistical and Nonlinear Physics 41
  • Nuclear and High Energy Physics 38
  • Condensed Matter Physics 20
Replace Laura García-Álvarez with:
Laura García-Álvarez Spain
Alireza Seif United States
Alaina Green United States
Tom Manovitz Israel
Matthew Ware United States
Bin Yan United States
Dar Dahlen United States
J. M. Matera Argentina
Roland C. Farrell United States
Guanyu Zhu United States
Minh C. Tran relative to Laura García-Álvarez Spain Laura García-Álvarez's profile →
Citations per field
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Citations per year

Countries citing papers authored by Minh C. Tran

Since Specialization
Citations

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

Fields of papers citing papers by Minh C. Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minh C. Tran

This figure shows the co-authorship network connecting the top 25 collaborators of Minh C. Tran. A scholar is included among the top collaborators of Minh C. 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 Minh C. Tran. Minh C. Tran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1
Chemistry beyond the scale of exact diagonalization on a quantum-centric supercomputerbreakdown →
23
2 18
3 6
4 33
5 20
6 26
7 12
8 91
9 26
10 31
11 12
12 29
13 9
14 5
15 6
16 26
17 20
18 31
19 5

About Minh C. Tran

Minh C. Tran is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Hardware and Architecture, having authored 19 papers that have together received 429 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (14 papers), Quantum Information and Cryptography (13 papers) and Quantum many-body systems (8 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (344 citations), Artificial Intelligence (309 citations) and Statistical and Nonlinear Physics (41 citations). Minh C. Tran has collaborated with scholars based in United States, Singapore and Poland. Frequent co-authors include Alexey V. Gorshkov, Tomasz Paterek, Wiesław Laskowski, Yingyue Zhu, C. Huerta Alderete, Norbert M. Linke, Nhung H. Nguyen, Zohreh Davoudi, Alaina Green and Borivoje Dakić. Their work appears in journals such as Physical Review Letters, Nature Communications and Physical Review A.

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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