Timothy Doster

634 total citations
32 papers, 459 citations indexed

About

Timothy Doster is a scholar working on Media Technology, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Timothy Doster has authored 32 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Media Technology, 9 papers in Biomedical Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Timothy Doster's work include Remote-Sensing Image Classification (16 papers), Advanced Image Fusion Techniques (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Timothy Doster is often cited by papers focused on Remote-Sensing Image Classification (16 papers), Advanced Image Fusion Techniques (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Timothy Doster collaborates with scholars based in United States and Peru. Timothy Doster's co-authors include Abbie T. Watnik, Colin C. Olson, Wojciech Czaja, Gustavo K. Rohde, Jonathan M. Nichols, John J. Benedetto, Tegan Emerson, David Gillis, Alexander Cloninger and James M. Murphy and has published in prestigious journals such as IEEE Transactions on Image Processing, Optics Express and Inverse Problems.

In The Last Decade

Timothy Doster

29 papers receiving 431 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Timothy Doster United States 9 300 189 167 87 75 32 459
Morteza H. Shoreh Iran 7 256 0.9× 109 0.6× 204 1.2× 40 0.5× 98 1.3× 13 474
A. L. Duncan United States 12 201 0.7× 160 0.8× 142 0.9× 47 0.5× 126 1.7× 31 394
V. V. Krasnov Russia 14 299 1.0× 87 0.5× 116 0.7× 412 4.7× 326 4.3× 109 672
Sehoon Lim United States 9 394 1.3× 50 0.3× 183 1.1× 170 2.0× 206 2.7× 18 614
Ning Zhou China 10 248 0.8× 62 0.3× 119 0.7× 44 0.5× 116 1.5× 50 449
Libo Zhong China 13 201 0.7× 193 1.0× 80 0.5× 24 0.3× 62 0.8× 42 439
J.‐M. Conan France 13 329 1.1× 206 1.1× 147 0.9× 25 0.3× 112 1.5× 40 463
Zhimin Xu Hong Kong 11 332 1.1× 51 0.3× 106 0.6× 298 3.4× 349 4.7× 23 639
Anhong Dang China 16 337 1.1× 539 2.9× 65 0.4× 11 0.1× 43 0.6× 62 737
Laurent Jolıssaınt United States 13 506 1.7× 305 1.6× 195 1.2× 13 0.1× 89 1.2× 64 590

Countries citing papers authored by Timothy Doster

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Doster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy Doster

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

All Works

20 of 20 papers shown
1.
2.
Bernacki, Bruce E., et al.. (2024). Data-Driven Invertible Neural Surrogates of Atmospheric Transmission. 31. 6943–6947.
3.
4.
Doster, Timothy, et al.. (2022). To fail or not to fail: an exploration of machine learning techniques for predictive maintenance. 77–77. 1 indexed citations
5.
Doster, Timothy, et al.. (2020). Rotational Equivariance for Object Classification Using xView. 11. 3684–3687. 2 indexed citations
6.
Emerson, Tegan, Colin C. Olson, & Timothy Doster. (2019). Path-Based Dictionary Augmentation: A Framework for Improving $k$ -Sparse Image Processing. IEEE Transactions on Image Processing. 29. 1259–1270. 1 indexed citations
7.
Emerson, Tegan, et al.. (2019). Generative And Encoded Anomaly Detectors. abs 1511 5644. 1–5. 3 indexed citations
8.
Nichols, Jonathan M., Tegan Emerson, А. В. Канаев, et al.. (2018). Transport-based model for turbulence-corrupted imagery. Applied Optics. 57(16). 4524–4524. 13 indexed citations
9.
Emerson, Tegan, Timothy Doster, & Colin C. Olson. (2018). Path Orthogonal Matching Pursuit for k-Sparse Image Reconstruction. 1955–1959. 3 indexed citations
10.
Emerson, Tegan, Timothy Doster, & Colin C. Olson. (2018). Path-Based Background Model Augmentation for Hyperspectral Anomaly Detection. 1–5. 2 indexed citations
11.
Doster, Timothy, Tegan Emerson, & Colin C. Olson. (2018). Path Orthogonal Matching Pursuit for Sparse Reconstruction and Denoising of SWIR Maritime Imagery. 338. 1242–12427. 3 indexed citations
12.
Doster, Timothy, et al.. (2018). Kernel PCA for anomaly detection in hyperspectral images using spectral-spatial fusion. 9840. 83–83. 1 indexed citations
13.
Nichols, Jonathan M., et al.. (2018). De-multiplexing vortex modes in optical communications using transport-based pattern recognition. Optics Express. 26(4). 4004–4004. 52 indexed citations
14.
15.
Doster, Timothy, et al.. (2017). Designing manufacturable filters for a 16-band plenoptic camera using differential evolution. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10198. 1019803–1019803. 3 indexed citations
16.
Doster, Timothy & Abbie T. Watnik. (2016). Measuring Multiplexed OAM Modes with Convolutional Neural Networks. LTh3B.2–LTh3B.2. 11 indexed citations
17.
Benedetto, John J., et al.. (2016). Spatial-spectral operator theoretic methods for hyperspectral image classification. GEM - International Journal on Geomathematics. 7(2). 275–297. 2 indexed citations
18.
Benedetto, John J., et al.. (2014). Operator based integration of information in multimodal radiological search mission with applications to anomaly detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9073. 90731A–90731A. 4 indexed citations
19.
Cloninger, Alexander, Wojciech Czaja, & Timothy Doster. (2013). A case study on data fusion with overlapping segments. 102. 1–11. 3 indexed citations
20.
Benedetto, John J., et al.. (2012). Semi-supervised learning of heterogeneous data in remote sensing imagery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8401. 840104–840104. 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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