Kevin Decker

498 total citations
11 papers, 363 citations indexed

About

Kevin Decker is a scholar working on Environmental Engineering, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Kevin Decker has authored 11 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Environmental Engineering, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Materials Chemistry. Recurrent topics in Kevin Decker's work include Remote Sensing and LiDAR Applications (6 papers), Machine Learning in Materials Science (3 papers) and Advanced Vision and Imaging (2 papers). Kevin Decker is often cited by papers focused on Remote Sensing and LiDAR Applications (6 papers), Machine Learning in Materials Science (3 papers) and Advanced Vision and Imaging (2 papers). Kevin Decker collaborates with scholars based in United States and South Korea. Kevin Decker's co-authors include Pavel Nikolaev, Rahul Rao, Benji Maruyama, Daylond Hooper, Rick Barto, Frederick Webber, Michael Krein, Brett J. Borghetti, Jennifer Carpena‐Núñez and Ahmad E. Islam and has published in prestigious journals such as Scientific Reports, Remote Sensing and Applied Sciences.

In The Last Decade

Kevin Decker

10 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin Decker United States	5	259	88	64	53	37	11	363
Frederick Webber United States	5	209 0.8×	73 0.8×	52 0.8×	46 0.9×	31 0.8×	8	309
Sterling G. Baird United States	10	245 0.9×	90 1.0×	63 1.0×	69 1.3×	28 0.8×	20	440
Rick Barto United States	6	285 1.1×	101 1.1×	137 2.1×	47 0.9×	26 0.7×	7	478
David Milsted United States	4	285 1.1×	89 1.0×	105 1.6×	46 0.9×	23 0.6×	6	481
Max C. Gallant United States	4	317 1.2×	83 0.9×	119 1.9×	47 0.9×	26 0.7×	8	505
Bernardus Rendy United States	4	287 1.1×	80 0.9×	113 1.8×	46 0.9×	23 0.6×	8	472
Flore Mekki‐Berrada Singapore	7	206 0.8×	150 1.7×	74 1.2×	56 1.1×	44 1.2×	9	418
Daniil Bash Singapore	7	263 1.0×	114 1.3×	92 1.4×	53 1.0×	41 1.1×	10	429
Daylond Hooper United States	7	382 1.5×	130 1.5×	104 1.6×	68 1.3×	43 1.2×	13	581
Robert MacKnight United States	4	179 0.7×	59 0.7×	47 0.7×	68 1.3×	82 2.2×	4	419

Countries citing papers authored by Kevin Decker

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Decker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Decker

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

All Works

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11 of 11 papers shown

1.

Decker, Kevin & Brett J. Borghetti. (2025). A Survey of Sampling Methods for Hyperspectral Remote Sensing: Addressing Bias Induced by Random Sampling. Remote Sensing. 17(8). 1373–1373. 1 indexed citations

2.

Decker, Kevin & Brett J. Borghetti. (2023). Hyperspectral Point Cloud Projection for the Semantic Segmentation of Multimodal Hyperspectral and Lidar Data with Point Convolution-Based Deep Fusion Neural Networks. Applied Sciences. 13(14). 8210–8210. 6 indexed citations

3.

Decker, Kevin & Brett J. Borghetti. (2022). Composite Style Pixel and Point Convolution-Based Deep Fusion Neural Network Architecture for the Semantic Segmentation of Hyperspectral and Lidar Data. Remote Sensing. 14(9). 2113–2113. 12 indexed citations

4.

Asari, Vijayan K., et al.. (2022). Automated point cloud completion for occlusion reduction in aerial lidar.

5.

Asari, Vijayan K., et al.. (2022). A multimodal data registration strategy for 2D/3D information fusion. 4–4. 1 indexed citations

6.

Asari, Vijayan K., et al.. (2022). Towards a deep-learning aided point cloud labeling suite. 1 indexed citations

7.

Asari, Vijayan K., et al.. (2021). Attention Focused Generative Network for Reducing Self-Occlusions in Aerial LiDAR. 1–7. 1 indexed citations

8.

Nikolaev, Pavel, Jennifer Carpena‐Núñez, Rahul Rao, et al.. (2020). Efficient Closed-loop Maximization of Carbon Nanotube Growth Rate using Bayesian Optimization. Scientific Reports. 10(1). 9040–9040. 58 indexed citations

9.

Maruyama, Benji, et al.. (2017). Autonomous Experimentation Applied to Carbon Nanotube Synthesis. Microscopy and Microanalysis. 23(S1). 182–182. 4 indexed citations

10.

Nikolaev, Pavel, Daylond Hooper, Frederick Webber, et al.. (2016). Autonomy in materials research: a case study in carbon nanotube growth. npj Computational Materials. 2(1). 277 indexed citations

11.

Decker, Kevin. (2003). Dewey and the Democratic Way of Life. Philosophy now. 43. 16–19. 2 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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