John Tran

14 papers receiving 224 citations

Peers

John Tran
Comparison fields: 5 of 53
  • Computer Graphics and Computer-Aided Design 160
  • Computer Vision and Pattern Recognition 150
  • Computational Mechanics 93
  • Information Systems and Management 11
  • Instrumentation 4
Replace Manfred Weiler with:
Manfred Weiler Germany
Jonathan Granskog United States
Siegfried Föessel Germany
Nikolče Stefanoski Switzerland
Chris Gray Canada
Mohamed Tamaazousti France
Juan Gerardo Alcázar Spain
Jin‐ichi Itoh Japan
Cristina Gomila United States
Wen Yi Zhao United States
John Tran relative to Manfred Weiler Germany Manfred Weiler's profile →
Citations per field
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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

15 of 15 papers shown
#Work
1 200565
2 200456
3 200635
4 200320
5 201915
6
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
201612
7 201110
8 20209
9
Multifrontal Sparse Matrix Factorization on Graphics Processing Units
20127
10 20056
11 20095
12 20094
13
Developing Situation Awareness Metrics in a Synthetic Battlespace Environment
20052
14 20061
15 20190

About John Tran

John Tran is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Computer Networks and Communications and Information Systems and Management, having authored 15 papers that have together received 247 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 (3 papers), Gene expression and cancer classification (1 paper), Aerodynamics and Acoustics in Jet Flows (1 paper) and Human-Automation Interaction and Safety (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (160 citations), Computer Vision and Pattern Recognition (150 citations), Computational Mechanics (93 citations), Information Systems and Management (11 citations) and Instrumentation (4 citations). John Tran has collaborated with scholars based in United States, Spain and China. Frequent co-authors include David Luebke, Rui Wang, Rui Wang, Paul J. Chung, Elizabeth S. Barnert, Kenneth A. Cunefare, Thomas S. Klitzner, Robert F. Lucas, Bergen B. Nelson and Dan Davis. Their work appears in journals such as ACM Transactions on Graphics, The Journal of the Acoustical Society of America, Children and Youth Services Review, Maternal and Child Health Journal and Lecture notes in computer science.

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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