Tegan Emerson

792 total citations
21 papers, 62 citations indexed

About

Tegan Emerson is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Tegan Emerson has authored 21 papers receiving a total of 62 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 4 papers in Computational Mechanics. Recurrent topics in Tegan Emerson's work include Sparse and Compressive Sensing Techniques (4 papers), Remote-Sensing Image Classification (4 papers) and Advanced Image Processing Techniques (4 papers). Tegan Emerson is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Remote-Sensing Image Classification (4 papers) and Advanced Image Processing Techniques (4 papers). Tegan Emerson collaborates with scholars based in United States. Tegan Emerson's co-authors include Timothy Doster, Gustavo K. Rohde, Jonathan M. Nichols, Colin C. Olson, Pradyumna Narayana, Michael Kirby, Chris Peterson, Bruce A. Draper, А. В. Канаев and Abbie T. Watnik and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition Letters.

In The Last Decade

Tegan Emerson

17 papers receiving 60 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tegan Emerson United States	5	21	14	10	8	7	21	62
G. Marino Italy	6	39 1.9×	4 0.3×	6 0.6×	9 1.1×	7 1.0×	18	104
Jiaben Lin China	7	15 0.7×	8 0.6×	41 4.1×	3 0.4×	4 0.6×	24	175
Pablo Navarrete Michelini China	6	51 2.4×	7 0.5×	8 0.8×	2 0.3×	26 3.7×	18	84
F. Albiol Spain	6	23 1.1×	7 0.5×	7 0.7×	2 0.3×	9 1.3×	17	76
Byeong Hak Kim South Korea	6	62 3.0×	6 0.4×	11 1.1×	2 0.3×	20 2.9×	11	120
Daniel Soukup Austria	7	54 2.6×	7 0.5×	11 1.1×	2 0.3×	21 3.0×	16	78
JJ Nebrensky United Kingdom	6	9 0.4×	37 2.6×	11 1.1×	5 0.6×	22 3.1×	31	95
Yılmaz Korkmaz Türkiye	3	62 3.0×	11 0.8×	50 5.0×	4 0.5×	3 0.4×	8	224
P. Van Hove United States	3	40 1.9×	7 0.5×	4 0.4×	2 0.3×	8 1.1×	7	75
Vincent Stimper Germany	3	31 1.5×	3 0.2×	16 1.6×		8 1.1×	5	86

Countries citing papers authored by Tegan Emerson

Since Specialization

Citations

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

Fields of papers citing papers by Tegan Emerson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tegan Emerson

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

All Works

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20 of 20 papers shown

Munikoti, Sai, et al.. (2025). Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities. SSRN Electronic Journal.

King, Edward, et al.. (2024). Stars: Sensor-Agnostic Transformer Architecture for Remote Sensing. 1–6.

Munikoti, Sai, et al.. (2024). Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities. arXiv (Cornell University).

Bernacki, Bruce E., et al.. (2024). Data-Driven Invertible Neural Surrogates of Atmospheric Transmission. 31. 6943–6947.

Kappagantula, Keerti, et al.. (2023). Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Toward ML-Assisted Advanced Manufacturing. Integrating materials and manufacturing innovation. 12(1). 1–10. 6 indexed citations

Doster, Timothy, et al.. (2023). A neural differential equation formulation for modeling atmospheric effects in hyperspectral images. 21–21. 2 indexed citations

Emerson, Tegan, et al.. (2023). TopFusion: Using Topological Feature Space for Fusion and Imputation in Multi-Modal Data. 600–609. 1 indexed citations

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

Doster, Timothy, et al.. (2020). Rotational Equivariance for Object Classification Using xView. 11. 3684–3687. 2 indexed citations

10.

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

11.

Emerson, Tegan, et al.. (2019). Generative And Encoded Anomaly Detectors. abs 1511 5644. 1–5. 3 indexed citations

12.

Emerson, Tegan & Jonathan M. Nichols. (2019). Fitting local, low-dimensional parameterizations of optical turbulence modeled from optimal transport velocity vectors. Pattern Recognition Letters. 133. 123–128. 1 indexed citations

13.

Emerson, Tegan, et al.. (2019). Image Recovery in the Infrared Domain via Path-Augmented Compressive Sampling Matching Pursuit. 871–880. 1 indexed citations

14.

Nichols, Jonathan M., Tegan Emerson, & Gustavo K. Rohde. (2019). A transport model for broadening of a linearly polarized, coherent beam due to inhomogeneities in a turbulent atmosphere. Journal of Modern Optics. 66(8). 835–849. 7 indexed citations

15.

Narayana, Pradyumna, et al.. (2018). Motion Segmentation via Generalized Curvatures. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(12). 2919–2932. 11 indexed citations

16.

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

17.

Emerson, Tegan, Timothy Doster, & Colin C. Olson. (2018). Path Orthogonal Matching Pursuit for k-Sparse Image Reconstruction. 1955–1959. 3 indexed citations

18.

Emerson, Tegan, Timothy Doster, & Colin C. Olson. (2018). Path-Based Background Model Augmentation for Hyperspectral Anomaly Detection. 1–5. 2 indexed citations

19.

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

20.

Emerson, Tegan, Michael Kirby, Kelly Bethel, et al.. (2014). Fourier-ring descriptor to characterize rare circulating cells from images generated using immunofluorescence microscopy. Computerized Medical Imaging and Graphics. 40. 70–87. 4 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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