John Tran

2.2k total citations
13 papers, 228 citations indexed

About

John Tran is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, John Tran has authored 13 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in John Tran's work include Computer Graphics and Visualization Techniques (4 papers), Advanced Vision and Imaging (3 papers) and Image Enhancement Techniques (3 papers). John Tran is often cited by papers focused on Computer Graphics and Visualization Techniques (4 papers), Advanced Vision and Imaging (3 papers) and Image Enhancement Techniques (3 papers). John Tran collaborates with scholars based in United States, Israel and United Kingdom. John Tran's co-authors include David Luebke, Rui Wang, Rui Wang, Kenneth A. Cunefare, Robert F. Lucas, Paul J. Chung, Dan Davis, Elizabeth S. Barnert, Enhao Gong and Bryan Catanzaro and has published in prestigious journals such as The Journal of the Acoustical Society of America, ACM Transactions on Graphics and Children and Youth Services Review.

In The Last Decade

John Tran

12 papers receiving 208 citations

Peers

John Tran

CGCD

CVPR

CM

EE

GHP

P. S. Rokita Poland

Manfred Weiler Germany

Bruce Merry South Africa

Eric Paquette Canada

Thomas Kollig Germany

C.W.A.M. van Overveld Netherlands

Jonathan Granskog United States

Hanspeter Bieri Switzerland

Mohamed Tamaazousti France

Boris Odehnal Austria

P. S. Rokita Poland

John Tran

104 ×0.7

CGCD

188 ×1.3

CVPR

23 ×0.3

CM

13 ×1.0

EE

2 ×0.2

GHP

Citations per year, relative to John Tran John Tran (= 1×) peers P. S. Rokita

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-authorship network of co-authors of John Tran

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

All Works

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13 of 13 papers shown

1.

Barnert, Elizabeth S., et al.. (2020). Parent and provider perspectives on recently incarcerated youths’ access to healthcare during community reentry. Children and Youth Services Review. 110. 104804–104804. 7 indexed citations

2.

Barnert, Elizabeth S., Ryan J. Coller, Bergen B. Nelson, et al.. (2019). Key Population Health Outcomes for Children with Medical Complexity: A Systematic Review. Maternal and Child Health Journal. 23(9). 1167–1176. 13 indexed citations

3.

Han, Song, Jeff Pool, Sharan Narang, et al.. (2016). DSD: Dense-Sparse-Dense Training for Deep Neural Networks. arXiv (Cornell University). 12 indexed citations

4.

Lucas, Robert F., et al.. (2012). Multifrontal Sparse Matrix Factorization on Graphics Processing Units. 7 indexed citations

5.

Tran, John, et al.. (2011). Evaluating cloud computing in the NASA DESDynI ground data system. 36–42. 7 indexed citations

6.

Hart, Andrew F., C. A. Mattmann, John Tran, et al.. (2009). Enabling effective curation of cancer biomarker research data. 2. 1–4. 1 indexed citations

7.

Hart, Andrew F., John Tran, Daniel Crichton, et al.. (2009). AN EXTENSIBLE BIOMARKER CURATION APPROACH AND SOFTWARE INFRASTRUCTURE FOR THE EARLY DETECTION OF CANCER. 387–392. 4 indexed citations

8.

Wang, Rui, John Tran, & David Luebke. (2006). All-frequency relighting of glossy objects. ACM Transactions on Graphics. 25(2). 293–318. 34 indexed citations

9.

Curiel, Jacqueline M., et al.. (2005). Developing Situation Awareness Metrics in a Synthetic Battlespace Environment. 1 indexed citations

10.

Wang, Rui, John Tran, & David Luebke. (2005). All-frequency interactive relighting of translucent objects with single and multiple scattering. 1202–1207. 6 indexed citations

11.

Wang, Rui, John Tran, & David Luebke. (2005). All-frequency interactive relighting of translucent objects with single and multiple scattering. ACM Transactions on Graphics. 24(3). 1202–1207. 63 indexed citations

12.

Wang, Rui, John Tran, & David Luebke. (2004). All-Frequency Relighting of Non-Diffuse Objects using Separable BRDF Approximation. Eurographics. 345–354. 55 indexed citations

13.

Cunefare, Kenneth A., et al.. (2003). Anechoic chamber qualification: Traverse method, inverse square law analysis method, and nature of test signal. The Journal of the Acoustical Society of America. 113(2). 881–892. 18 indexed citations

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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