Andrew Remsen

1.4k total citations
21 papers, 783 citations indexed

About

Andrew Remsen is a scholar working on Oceanography, Water Science and Technology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andrew Remsen has authored 21 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oceanography, 7 papers in Water Science and Technology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andrew Remsen's work include Water Quality Monitoring Technologies (7 papers), Marine and coastal ecosystems (5 papers) and Underwater Acoustics Research (4 papers). Andrew Remsen is often cited by papers focused on Water Quality Monitoring Technologies (7 papers), Marine and coastal ecosystems (5 papers) and Underwater Acoustics Research (4 papers). Andrew Remsen collaborates with scholars based in United States and Hong Kong. Andrew Remsen's co-authors include Scott Samson, Thomas L. Hopkins, Kurt Kramer, Dmitry B. Goldgof, Lawrence Hall, T. L. Hopkins, Tracey Sutton, James T. Patten, Feng Lin and Xiaoou Tang and has published in prestigious journals such as The Science of The Total Environment, Marine Pollution Bulletin and Journal of Machine Learning Research.

In The Last Decade

Andrew Remsen

21 papers receiving 748 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Remsen United States 13 202 201 193 149 129 21 783
Scott Samson United States 12 192 1.0× 179 0.9× 132 0.7× 146 1.0× 132 1.0× 37 760
Che-Wei Chang United States 11 118 0.6× 170 0.8× 36 0.2× 842 5.7× 42 0.3× 25 1.2k
Kurt Kramer United States 8 162 0.8× 212 1.1× 32 0.2× 144 1.0× 63 0.5× 15 475
Manuel Cantón Garbín Spain 14 88 0.4× 36 0.2× 451 2.3× 55 0.4× 53 0.4× 29 818
Binge Cui China 13 108 0.5× 54 0.3× 63 0.3× 267 1.8× 70 0.5× 47 563
W.K. Stewart United States 12 71 0.4× 68 0.3× 252 1.3× 23 0.2× 81 0.6× 30 528
Yueting Zhang China 15 156 0.8× 89 0.4× 63 0.3× 103 0.7× 9 0.1× 85 809
Howard Schultz United States 15 146 0.7× 29 0.1× 231 1.2× 24 0.2× 29 0.2× 35 672
Daniel Langenkämper Germany 11 43 0.2× 54 0.3× 139 0.7× 17 0.1× 47 0.4× 31 485
Samir Ahmed United States 20 27 0.1× 82 0.4× 887 4.6× 75 0.5× 272 2.1× 95 1.5k

Countries citing papers authored by Andrew Remsen

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Remsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Remsen

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Remsen. A scholar is included among the top collaborators of Andrew Remsen 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 Andrew Remsen. Andrew Remsen 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.
Daly, Kendra L., et al.. (2020). Resilience of the zooplankton community in the northeast Gulf of Mexico during and after the Deepwater Horizon oil spill. Marine Pollution Bulletin. 163. 111882–111882. 18 indexed citations
2.
Remsen, Andrew, et al.. (2019). Release and transformation of ZnO nanoparticles used in outdoor surface coatings for UV protection. The Science of The Total Environment. 670. 78–86. 23 indexed citations
3.
Remsen, Andrew, et al.. (2019). Transformation and release of nanoparticle additives & byproducts from commercially available surface coatings on pressure treated lumber via dermal contact. The Science of The Total Environment. 694. 133669–133669. 9 indexed citations
4.
Remsen, Andrew, et al.. (2017). Dermal transfer and environmental release of CeO2 nanoparticles used as UV inhibitors on outdoor surfaces: Implications for human and environmental health. The Science of The Total Environment. 613-614. 714–723. 29 indexed citations
5.
Kramer, Kurt, Dmitry B. Goldgof, Lawrence Hall, & Andrew Remsen. (2011). Increased classification accuracy and speedup through pair-wise feature selection for support vector machines. 6. 318–324. 6 indexed citations
6.
Fefilatyev, Sergiy, Kurt Kramer, Lawrence Hall, et al.. (2011). Detection of Anomalous Particles from the Deepwater Horizon Oil Spill Using the SIPPER3 Underwater Imaging Platform. Digital Commons - University of South Florida (University of South Florida). 8. 741–748. 7 indexed citations
7.
Kramer, Kurt, et al.. (2009). Fast Support Vector Machines for Continuous Data. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 39(4). 989–1001. 19 indexed citations
8.
Remsen, Andrew. (2008). Evolution and field application of a plankton imaging system. Digital Commons - University of South Florida (University of South Florida). 3 indexed citations
9.
Lester, Kristen M., Cynthia A. Heil, Susan Murasko, et al.. (2007). Zooplankton and Karenia brevis in the Gulf of Mexico. Continental Shelf Research. 28(1). 99–111. 31 indexed citations
10.
Hall, Lawrence, et al.. (2006). Bit Reduction Support Vector Machine. 3. 733–736. 7 indexed citations
11.
Tang, Xiaoou, Feng Lin, Scott Samson, & Andrew Remsen. (2006). Binary Plankton Image Classification. IEEE Journal of Oceanic Engineering. 31(3). 728–735. 33 indexed citations
12.
Kramer, Kurt, Dmitry B. Goldgof, Lawrence Hall, et al.. (2005). Active Learning to Recognize Multiple Types of Plankton. Journal of Machine Learning Research. 6(20). 589–613. 129 indexed citations
13.
Luo, Ting, Kurt Kramer, Dmitry B. Goldgof, et al.. (2004). Recognizing Plankton Images From the Shadow Image Particle Profiling Evaluation Recorder. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 34(4). 1753–1762. 62 indexed citations
14.
Kramer, Kurt, et al.. (2004). Learning to recognize plankton. 1. 888–893. 18 indexed citations
15.
Kramer, Kurt, Scott Samson, Andrew Remsen, et al.. (2004). Active learning to recognize multiple types of plankton. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 478–481 Vol.3. 154 indexed citations
16.
Tang, Xiaoou, Feng Lin, Scott Samson, & Andrew Remsen. (2003). Feature Extraction for Binary Plankton Image Classification.. 702–707. 2 indexed citations
17.
Remsen, Andrew, Thomas L. Hopkins, & Scott Samson. (2003). What you see is not what you catch: a comparison of concurrently collected net, Optical Plankton Counter, and Shadowed Image Particle Profiling Evaluation Recorder data from the northeast Gulf of Mexico. Deep Sea Research Part I Oceanographic Research Papers. 51(1). 129–151. 119 indexed citations
18.
Remsen, Andrew, T. L. Hopkins, Tracey Sutton, Taylor M. Wilcox, & Lester R. LeBlanc. (2002). A high frequency chirp sonar to be deployed on the High Resolution Sampler (HRS II) and capable of sizing small zooplankton. NSUWorks (Nova Southeastern University). 3. 1480–1484. 1 indexed citations
19.
Samson, Scott, et al.. (2001). A system for high-resolution zooplankton imaging. IEEE Journal of Oceanic Engineering. 26(4). 671–676. 82 indexed citations
20.
Sutton, Tracey, et al.. (2001). Multisensor sampling of pelagic ecosystem variables in a coastal environment to estimate zooplankton grazing impact. Continental Shelf Research. 21(1). 69–87. 28 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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