Nicholas Trân

582 citations
26 papers · 343 · h-index 8

Impact in

  • Software top 10%
    • Software Testing and Debugging Techniques
    • Academic integrity and plagiarism

Papers in

Nicholas Trân

22 papers receiving 320 citations

Peers

Nicholas Trân
Comparison fields: 5 of 56
  • Software 51
  • Safety Research 69
  • Signal Processing 87
  • Information Systems 120
  • Health Informatics 5
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
Manaar Alam India
Horace He United States
Nicholas Trân relative to R. Venkatesh India R. Venkatesh's profile →
Citations per field
00.5×4.6×
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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999122
2 202058
3 199941
4 199526
5 200724
6 199919
7 202210
8 20168
9 20167
10 19925
11 20233
12 19983
13 19973
14 19932
15 19932
16 19932
17 20102
18 20131
19 20121
20 19941

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 26 papers that have together received 343 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), Academic integrity and plagiarism (2 papers), Cryptography and Data Security (2 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Software (51 citations), Safety Research (69 citations), Signal Processing (87 citations), Information Systems (120 citations) and Health Informatics (5 citations). Nicholas Trân has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Ganapati Bhat, Ümit Y. Ogras, Holly A. Shill, Óscar H. Ibarra, Tao Jiang, Hui Wang, Amy Schneeberg, Christopher Napier, Archontis Giannakidis and Youngho Seo. Their work appears in journals such as Theoretical Computer Science, International Journal of Foundations of Computer Science, Journal of Computational Biology, Journal of Computer and System Sciences and Information Systems.

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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