Grant J. Scott

1.9k citations

102 papers · 1.3k indexed · 1 hit paper · h-index 16

Impact in

Media Technology top 0.5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
Computer Vision and Pattern Recognition top 2%
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Advanced Neural Network Applications

Papers in

Media Technology 33
- Remote-Sensing Image Classification 32
Computer Vision and Pattern Recognition 50
- Advanced Image and Video Retrieval Techniques 23
- Advanced Neural Network Applications 17
- Image Retrieval and Classification Techniques 11

Co-authors: Curt H. Davis Richard A. Marcum Chi‐Ren Shyu Derek T. Anderson James M. Keller Kannappan Palaniappan Muhammad Aminul Islam Timothy C. Havens
Journals: IEEE Geoscience and Remote Sensing Letters (5 papers)IEEE Transactions on Geoscience and Remote Sensing (5 papers)International Journal of Environmental Research and Public Health (2 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2 papers)Remote Sensing (2 papers)
Partner nations: United States Australia Thailand

In The Last Decade

Grant J. Scott

88 papers receiving 1.3k citations

Hit Papers

align trajectories log scale

Training Deep Convolutional Neural Networks for Land–Cover Classification of High-Resolution Imagery 2017 · 289 citations

Peers

Countries citing papers authored by Grant J. Scott

Since Specialization

Citations

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

Fields of papers citing papers by Grant J. Scott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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20 of 20 papers shown

#	Work
1	Scanning Electron Microscope Image Segmentation with Foundation AI Vision Model for Nanoparticles in Autonomous Materials Explorations Timothy B. Gaines, Camden Boyle, James M. Keller, Matthew R. Maschmann, Stanton R. Price, Grant J. Scott	2024	1
2	Enabling cross-platform sensor co-registration for distributed situational awareness Christopher W. Scully, Trevor M. Bajkowski, James F. Keller, Grant J. Scott, Samantha S. Carley, Stanton R. Price	2024	0
3	Application of Machine Learning and Deep Neural Visual Features for Predicting Adult Obesity Prevalence in Missouri International Journal of Environmental Research and Public Health ·Butros M. Dahu, Carlos I. Martinez-Villar, Imad Eddine Toubal, Mariam Alshehri, Anes Ouadou, Solaiman Khan, Lincoln Sheets, Grant J. Scott	2024	1
4	Exploring the Geospatial Relationship Between COVID-19 Positivity and Income in Mixed Urban-Rural Population Studies in health technology and informatics ·Butros M. Dahu, Solaiman Khan, Lincoln Sheets, Grant J. Scott	2024	1
5	Geospatial Modeling of Deep Neural Visual Features for Predicting Obesity Prevalence in Missouri: Quantitative Study PubMed ·Butros M. Dahu, Solaiman Khan, Imad Eddine Toubal, Mariam Alshehri, Carlos I. Martinez-Villar, Olabode B. Ogundele, Lincoln Sheets, Grant J. Scott	2024	0
6	A semi-supervised approach to unobtrusively predict abnormality in breathing patterns using hydraulic bed sensor data in older adults aging in place Journal of Biomedical Informatics ·Pallavi Gupta, J. S. Walker, Laurel Despins, David Heise, James M. Keller, Marjorie Skubic, Ruhan Yi, Grant J. Scott	2023	3
7	Deep Seasonal Network for Remote Sensing Imagery Classification of Multi-Temporal Sentinel-2 Data Remote Sensing ·Keli Cheng, Grant J. Scott	2023	4
8	Towards automatic characterization of nano-energetic material response to directed energy Timothy Gaines, Camden Boyle, J. Alex Hurt, Matthew R. Maschmann, James M. Keller, Grant J. Scott, Stanton R. Price	2023	1
9	Cohort Discovery from Bed Sensor Data with Fuzzy Evidence Accumulation Clustering Trevor M. Bajkowski, Noah Marchal, Jamal Saied-Walker, Pallavi Gupta, James M. Keller, Marjorie Skubic, Grant J. Scott	2023	2
10	Comparing hand-crafted and learned key-point feature extraction for co-location of sequential low-altitude UAS video frames Trevor M. Bajkowski, J. Alex Hurt, Jeffrey Dale, James M. Keller, Grant J. Scott, Stanton R. Price	2023	1
11	Enabling Scalable Analytics of Physiological Sensor and Derived Feature Multi-Modal Time-Series with Big Data Management 2022 IEEE International Conference on Big Data (Big Data) ·Jamal Saied-Walker, Pallavi Gupta, Ruhan Yi, Noah Marchal, Marjorie Skubic, Grant J. Scott	2022	1
12	Unreal engine-based photorealistic aerial data generation and unit testing of artificial intelligence algorithms Andrew R. Buck, Raub Camaioni, Brendan Alvey, Derek T. Anderson, James M. Keller, Robert H. Luke, Grant J. Scott	2022	3
13	Explainable AI for the Choquet Integral IEEE Transactions on Emerging Topics in Computational Intelligence ·Bryce Murray, Muhammad Aminul Islam, Anthony J. Pinar, Derek T. Anderson, Grant J. Scott, Timothy C. Havens, James M. Keller	2020	21
14	Enabling Machine-Assisted Visual Analytics for High-Resolution Remote Sensing Imagery with Enhanced Benchmark Meta-Dataset Training of NAS Neural Networks J. Alex Hurt, David Huangal, Curt H. Davis, Grant J. Scott	2020	2
15	Enabling Explainable Fusion in Deep Learning With Fuzzy Integral Neural Networks IEEE Transactions on Fuzzy Systems ·Muhammad Aminul Islam, Derek T. Anderson, Anthony J. Pinar, Timothy C. Havens, Grant J. Scott, James M. Keller	2019	51
16	Enhanced Fusion of Deep Neural Networks for Classification of Benchmark High-Resolution Image Data Sets IEEE Geoscience and Remote Sensing Letters ·Grant J. Scott, Kyle C. Hagan, Richard A. Marcum, J. Alex Hurt, Derek T. Anderson, Curt H. Davis	2018	56
17	Knowledge-Driven Multidimensional Indexing Structure for Biomedical Media Database Retrieval IEEE Transactions on Information Technology in Biomedicine ·Grant J. Scott, Chi‐Ren Shyu	2007	30
18	A 21st. Century Perspective on Molybdenum Powder Production by Hydrogen Reduction Materials science forum ·Gerard P. Martins, Tawiwan Kangsadan, Grant J. Scott, C. Wagner, Jeff Van Hoose	2007	29
19	Knowledge Discovery by Mining Association Rules and Temporal-Spatial Information from Large-Scale Geospatial Image Databases Chi‐Ren Shyu, M. Klaric, Grant J. Scott, Wannapa Kay Mahamaneerat	2006	8
20	ProteinDBS: a real-time retrieval system for protein structure comparison Nucleic Acids Research ·Chi‐Ren Shyu, Pin-Hao Chi, Grant J. Scott, Dong Xu	2004	23

About Grant J. Scott

Grant J. Scott is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Signal Processing, Environmental Engineering and Artificial Intelligence, having authored 102 papers that have together received 1.3k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (32 papers), Advanced Image and Video Retrieval Techniques (23 papers), Advanced Neural Network Applications (17 papers), Image Retrieval and Classification Techniques (11 papers), Remote Sensing and LiDAR Applications (10 papers), Data Management and Algorithms (9 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Automated Road and Building Extraction (9 papers). The work is most often cited by research in Media Technology (566 citations), Computer Vision and Pattern Recognition (545 citations), Atmospheric Science (186 citations), Environmental Engineering (145 citations) and Ecology (213 citations). Grant J. Scott has collaborated with scholars based in United States, Australia and Thailand. Frequent co-authors include Curt H. Davis, Richard A. Marcum, Chi‐Ren Shyu, Derek T. Anderson, James M. Keller, Kannappan Palaniappan, Muhammad Aminul Islam, Timothy C. Havens, Anthony J. Pinar and Allen I. Kraut. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Geoscience and Remote Sensing, International Journal of Environmental Research and Public Health, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Remote Sensing.

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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