Shale Rosen

547 total citations
14 papers, 414 citations indexed

About

Shale Rosen is a scholar working on Nature and Landscape Conservation, Ecology and Water Science and Technology. According to data from OpenAlex, Shale Rosen has authored 14 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nature and Landscape Conservation, 6 papers in Ecology and 6 papers in Water Science and Technology. Recurrent topics in Shale Rosen's work include Fish Ecology and Management Studies (12 papers), Water Quality Monitoring Technologies (6 papers) and Marine animal studies overview (5 papers). Shale Rosen is often cited by papers focused on Fish Ecology and Management Studies (12 papers), Water Quality Monitoring Technologies (6 papers) and Marine animal studies overview (5 papers). Shale Rosen collaborates with scholars based in Norway, United States and Canada. Shale Rosen's co-authors include Jens Christian Holst, Vaneeda Allken, Ketil Malde, Nils Olav Handegard, Terje Jørgensen, Nuno Gracias, Josep Quintana, Ricard Prados, Rafael García and Arill Engås and has published in prestigious journals such as PLoS ONE, Canadian Journal of Fisheries and Aquatic Sciences and ICES Journal of Marine Science.

In The Last Decade

Shale Rosen

12 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shale Rosen Norway 8 246 196 127 101 81 14 414
Eric L. Jinks Australia 7 165 0.7× 130 0.7× 76 0.6× 60 0.6× 123 1.5× 7 313
Ellen M. Ditria Australia 9 177 0.7× 142 0.7× 97 0.8× 66 0.7× 192 2.4× 10 458
Sébastien Villon France 5 129 0.5× 92 0.5× 40 0.3× 78 0.8× 90 1.1× 8 285
Danelle E. Cline United States 11 168 0.7× 97 0.5× 61 0.5× 58 0.6× 129 1.6× 23 390
Sebastian Lopez‐Marcano Australia 11 180 0.7× 151 0.8× 174 1.4× 65 0.6× 310 3.8× 15 539
Richard H. Towler United States 10 106 0.4× 124 0.6× 158 1.2× 22 0.2× 159 2.0× 18 358
Marc Nogueras Spain 10 91 0.4× 63 0.3× 82 0.6× 38 0.4× 136 1.7× 20 342
Yinfeng Hao China 6 270 1.1× 110 0.6× 18 0.1× 45 0.4× 28 0.3× 11 338
Eric C. Orenstein United States 9 80 0.3× 36 0.2× 55 0.4× 50 0.5× 101 1.2× 19 335
Ammar Mahmood Australia 6 113 0.5× 46 0.2× 37 0.3× 26 0.3× 129 1.6× 6 301

Countries citing papers authored by Shale Rosen

Since Specialization
Citations

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

Fields of papers citing papers by Shale Rosen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shale Rosen

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

All Works

14 of 14 papers shown
1.
Enberg, Katja, et al.. (2025). Effects of fish behaviour on abundance and length frequency estimates from in-trawl stereo cameras. ICES Journal of Marine Science. 82(6).
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Allken, Vaneeda, Shale Rosen, Nils Olav Handegard, & Ketil Malde. (2021). A deep learning-based method to identify and count pelagic and mesopelagic fishes from trawl camera images. ICES Journal of Marine Science. 78(10). 3780–3792. 28 indexed citations
5.
Allken, Vaneeda, Shale Rosen, Nils Olav Handegard, & Ketil Malde. (2021). A real‐world dataset and data simulation algorithm for automated fish species identification. Geoscience Data Journal. 8(2). 199–209. 10 indexed citations
6.
García, Rafael, et al.. (2019). Automatic segmentation of fish using deep learning with application to fish size measurement. ICES Journal of Marine Science. 77(4). 1354–1366. 114 indexed citations
7.
Allken, Vaneeda, et al.. (2018). Fish species identification using a convolutional neural network trained on synthetic data. ICES Journal of Marine Science. 76(1). 342–349. 124 indexed citations
8.
9.
Rosen, Shale, et al.. (2016). Flume tank testing of a multiple inner-paneled trawl to reduce loss and clogging of small organisms. BIBSYS Brage (BIBSYS (Norway)). 2 indexed citations
10.
Rosen, Shale, et al.. (2014). Deep Vision: An In-Trawl Stereo Camera Makes a Step Forward in Monitoring the Pelagic Community. PLoS ONE. 9(11). e112304–e112304. 17 indexed citations
11.
Rosen, Shale, et al.. (2013). DeepVision: a stereo camera system provides highly accurate counts and lengths of fish passing inside a trawl. Canadian Journal of Fisheries and Aquatic Sciences. 70(10). 1456–1467. 46 indexed citations
12.
Rosen, Shale & Jens Christian Holst. (2013). DeepVision in-trawl imaging: Sampling the water column in four dimensions. Fisheries Research. 148. 64–73. 39 indexed citations
13.
Rosen, Shale, Arill Engås, Anders Fernö, & Terje Jørgensen. (2012). The reactions of shoaling adult cod to a pelagic trawl: implications for commercial trawling. ICES Journal of Marine Science. 69(2). 303–312. 22 indexed citations
14.
Reid, David G., et al.. (2007). Current status of mobile and static sampling gears used in resource surveys. ICES Journal of Marine Science. 64(8). 1607–1609. 5 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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2026