Nicholas Trân

572 citations
25 papers · 339 · h-index 8

Impact in

Papers in

Nicholas Trân

22 papers receiving 314 citations

Peers

Nicholas Trân
Comparison fields: 5 of 56
  • Software 51
  • Signal Processing 87
  • Safety Research 67
  • Information Systems 120
  • Computer Vision and Pattern Recognition 77
Replace R. Venkatesh with:
R. Venkatesh India
Christopher A. Choquette-Choo United States
Nirmalya Kar India
Wenjie Wang China
Allan Knies United States
Anthony Mansfield United Kingdom
Ryan Rakvic United States
Zelun Kong United States
Horace He United States
Manaar Alam India
Nicholas Trân relative to R. Venkatesh India R. Venkatesh's profile →
Citations per field
00.5×4.5×
R. Venkatesh · 1×
Citations per year

Countries citing papers authored by Nicholas Trân

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Trân

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Nicholas Trân, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nicholas Trân Line = papers co-authored together Nicholas Trân links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999122
2 202057
3 199939
4 199526
5 200724
6 199919
7 202210
8 20168
9 20167
10 19925
11 19983
12 19973
13 20232
14 19932
15 20102
16 19932
17 19932
18 20121
19 20131
20 20151

About Nicholas Trân

Nicholas Trân is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 25 papers that have together received 339 indexed citations. Recurring topics across this work include semigroups and automata theory (9 papers), DNA and Biological Computing (6 papers), Computability, Logic, AI Algorithms (5 papers), Machine Learning and Algorithms (4 papers), Cellular Automata and Applications (3 papers), Context-Aware Activity Recognition Systems (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers) and Cryptography and Data Security (2 papers). The work is most often cited by research in Software (51 citations), Signal Processing (87 citations), Safety Research (67 citations), Information Systems (120 citations) and Computer Vision and Pattern Recognition (77 citations). Nicholas Trân has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Ümit Y. Ogras, Ganapati Bhat, Holly A. Shill, Óscar H. Ibarra, Hui Wang, Tao Jiang, G.T. Gullberg, Archontis Giannakidis, Paul Blazey and Youngho Seo. Their work appears in journals such as Theoretical Computer Science, International Journal of Foundations of Computer Science, Frontiers in Sports and Active Living, Sports Biomechanics and Journal of Computer and System Sciences.

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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