Scott Gray

10.5k total citations · 2 hit papers
9 papers, 916 citations indexed

About

Scott Gray is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Scott Gray has authored 9 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Automotive Engineering, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Scott Gray's work include Generative Adversarial Networks and Image Synthesis (2 papers), Structural Health Monitoring Techniques (1 paper) and Innovative Teaching and Learning Methods (1 paper). Scott Gray is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Structural Health Monitoring Techniques (1 paper) and Innovative Teaching and Learning Methods (1 paper). Scott Gray collaborates with scholars based in United States, United Kingdom and Germany. Scott Gray's co-authors include Andrew Lavin, Rasha Atwi, Vilas G. Pol, Bhuvaneswari M. Sivakumar, Nav Nidhi Rajput, Thomas A. Everett, Kee Sung Han, Vijayakumar Murugesan, Bharat Gwalani and Derek H. Alderman and has published in prestigious journals such as Nature Communications, SAE technical papers on CD-ROM/SAE technical paper series and Tourism Planning & Development.

In The Last Decade

Scott Gray

9 papers receiving 891 citations

Hit Papers

Fast Algorithms for Convolutional Neural Networks 2016 2026 2019 2022 2016 2023 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Fast Algorithms for Convolutional Neural Networks
    2016 561 citations Andrew Lavin, Scott Gray profile →
  2. Non-polar ether-based electrolyte solutions for stable high-voltage non-aqueous lithium metal batteries
    2023 208 citations Rasha Atwi, Bhuvaneswari M. Sivakumar et al. Nature Communications profile →

Peers

Scott Gray
Yang Hu China
Chen Wu China
Kyuho Lee South Korea
Yangtao Wang China
Ebrahim M. Songhori United States
Venkatesh Akella United States
David Bol Belgium
Ming Wen China
Yang Hu China
Scott Gray
Citations per year, relative to Scott Gray Scott Gray (= 1×) peers Yang Hu

Countries citing papers authored by Scott Gray

Since Specialization
Citations

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

Fields of papers citing papers by Scott Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Gray

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

All Works

9 of 9 papers shown
1.
Atwi, Rasha, Bhuvaneswari M. Sivakumar, Bharat Gwalani, et al.. (2023). Non-polar ether-based electrolyte solutions for stable high-voltage non-aqueous lithium metal batteries. Nature Communications. 14(1). 208 indexed citations breakdown →
2.
3.
Ramesh, Aditya, Mikhail Pavlov, Gabriel Goh, et al.. (2021). Zero-Shot Text-to-Image Generation. International Conference on Machine Learning. 8821–8831. 6 indexed citations
4.
5.
Köster, Urs, Tristan J. Webb, Xin Wang, et al.. (2017). Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks. Neural Information Processing Systems. 30. 1742–1752. 76 indexed citations
6.
Lavin, Andrew & Scott Gray. (2016). Fast Algorithms for Convolutional Neural Networks. 4013–4021. 561 indexed citations breakdown →
7.
Kline, Carol, et al.. (2014). A Spatial Analysis of Tourism, Entrepreneurship and the Entrepreneurial Ecosystem in North Carolina, USA. Tourism Planning & Development. 11(3). 305–316. 34 indexed citations
8.
Gray, Scott, et al.. (1993). Development of an Engine Mount Optimization Method Using Modal Parameters. SAE technical papers on CD-ROM/SAE technical paper series. 1. 10 indexed citations
9.
Starkey, John M., et al.. (1988). Vehicle Performance Simulation and Optimization Including Tire Slip. SAE technical papers on CD-ROM/SAE technical paper series. 1. 15 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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