John Tran

2.3k citations
13 papers · 229 · h-index 8

Impact in

Papers in

John Tran

12 papers receiving 209 citations

Peers

John Tran
Comparison fields: 5 of 51
  • Computer Graphics and Computer-Aided Design 156
  • Computer Vision and Pattern Recognition 146
  • Computational Mechanics 88
  • Instrumentation 4
  • Acoustics and Ultrasonics 1
Replace Thomas Kollig with:
Thomas Kollig Germany
Bruce Merry South Africa
Susan Spach United States
P. S. Rokita Poland
Eric Paquette Canada
Manfred Weiler Germany
Alexandrina Orzan France
Siegfried Föessel Germany
C.W.A.M. van Overveld Netherlands
Norman Müller Canada
John Tran relative to Thomas Kollig Germany Thomas Kollig's profile →
Citations per field
00.5×2.7×
Thomas Kollig · 1×
Citations per year

Countries citing papers authored by John Tran

Since Specialization
Citations

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

Fields of papers citing papers by John Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Tran, 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 John Tran Line = papers co-authored together John Tran links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200563
2 200455
3 200634
4 200318
5 201913
6
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
201612
7 20208
8 20117
9
Multifrontal Sparse Matrix Factorization on Graphics Processing Units
20127
10 20056
11 20094
12
Developing Situation Awareness Metrics in a Synthetic Battlespace Environment
20051
13 20091

About John Tran

John Tran is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Information Systems and Management and Computer Networks and Communications, having authored 13 papers that have together received 229 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (4 papers), Image Enhancement Techniques (3 papers), Advanced Vision and Imaging (3 papers), Scientific Computing and Data Management (3 papers), Distributed and Parallel Computing Systems (2 papers), Child Abuse and Trauma (1 paper), Hearing Loss and Rehabilitation (1 paper) and VLSI and FPGA Design Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (156 citations), Computer Vision and Pattern Recognition (146 citations), Computational Mechanics (88 citations), Instrumentation (4 citations) and Acoustics and Ultrasonics (1 citation). John Tran has collaborated with scholars based in United States, China and Israel. Frequent co-authors include David Luebke, Rui Wang, Rui Wang, Kenneth A. Cunefare, Elizabeth S. Barnert, Robert F. Lucas, Paul J. Chung, Dan Davis, Bonnie T. Zima and Vincent Chan. Their work appears in journals such as ACM Transactions on Graphics, Maternal and Child Health Journal, The Journal of the Acoustical Society of America, Children and Youth Services Review and Eurographics.

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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