Mark Reed

2.3k total citations
64 papers, 1.8k citations indexed

About

Mark Reed is a scholar working on Pollution, Oceanography and Global and Planetary Change. According to data from OpenAlex, Mark Reed has authored 64 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Pollution, 26 papers in Oceanography and 16 papers in Global and Planetary Change. Recurrent topics in Mark Reed's work include Oil Spill Detection and Mitigation (48 papers), Marine and coastal ecosystems (16 papers) and Oceanographic and Atmospheric Processes (14 papers). Mark Reed is often cited by papers focused on Oil Spill Detection and Mitigation (48 papers), Marine and coastal ecosystems (16 papers) and Oceanographic and Atmospheric Processes (14 papers). Mark Reed collaborates with scholars based in Norway, United States and United Kingdom. Mark Reed's co-authors include Per S. Daling, Øistein Johansen, Alun Lewis, Per Johan Brandvik, Ole Morten Aamo, Henrik Rye, Don Mackay, Robert J. Fiocco, Richard T. Prentki and C.J. Beegle‐Krause and has published in prestigious journals such as Marine Pollution Bulletin, Chemical Engineering Science and Computer Physics Communications.

In The Last Decade

Mark Reed

63 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Reed Norway 23 1.3k 733 483 405 303 64 1.8k
Øistein Johansen Norway 19 1.4k 1.1× 596 0.8× 481 1.0× 414 1.0× 262 0.9× 39 1.7k
Per Johan Brandvik Norway 23 1.3k 1.0× 453 0.6× 526 1.1× 380 0.9× 215 0.7× 55 1.7k
Per S. Daling Norway 21 1.4k 1.1× 480 0.7× 636 1.3× 343 0.8× 249 0.8× 72 1.8k
Henrik Rye Norway 16 385 0.3× 279 0.4× 169 0.3× 178 0.4× 169 0.6× 51 773
Oscar Garcia‐Pineda United States 18 981 0.7× 698 1.0× 246 0.5× 432 1.1× 107 0.4× 29 1.2k
Jan Svejkovsky United States 12 615 0.5× 491 0.7× 210 0.4× 334 0.8× 56 0.2× 22 964
Eliza S. Bradley United States 12 468 0.4× 301 0.4× 138 0.3× 495 1.2× 40 0.1× 20 921
Borut Smodiš Slovenia 20 204 0.2× 73 0.1× 120 0.2× 399 1.0× 38 0.1× 96 1.4k
Zhenduo Zhu United States 22 124 0.1× 123 0.2× 83 0.2× 653 1.6× 97 0.3× 84 1.4k
John L. Rayner Australia 25 479 0.4× 16 0.0× 262 0.5× 293 0.7× 187 0.6× 55 1.9k

Countries citing papers authored by Mark Reed

Since Specialization
Citations

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

Fields of papers citing papers by Mark Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Reed

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Reed. A scholar is included among the top collaborators of Mark Reed 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 Mark Reed. Mark Reed 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.
Daling, Per S., Yu Zhang, Mark Reed, et al.. (2020). Fate and behavior of Sanchi oil spill transported by the Kuroshio during January–February 2018. Marine Pollution Bulletin. 152. 110917–110917. 39 indexed citations
2.
Nordam, Tor, C.J. Beegle‐Krause, Jørgen Skancke, Raymond Nepstad, & Mark Reed. (2019). Improving oil spill trajectory modelling in the Arctic. Marine Pollution Bulletin. 140. 65–74. 54 indexed citations
3.
Nordam, Tor, et al.. (2017). Impact of climate change and seasonal trends on the fate of Arctic oil spills. AMBIO. 46(S3). 442–452. 28 indexed citations
4.
Wilkinson, Jeremy, C.J. Beegle‐Krause, Karl‐Ulrich Evers, et al.. (2017). Oil spill response capabilities and technologies for ice-covered Arctic marine waters: A review of recent developments and established practices. AMBIO. 46(S3). 423–441. 77 indexed citations
5.
Reed, Mark, et al.. (2017). Modeling spreading of oil slicks based on random walk methods and Voronoi diagrams. Marine Pollution Bulletin. 118(1-2). 93–100. 11 indexed citations
6.
Rye, Henrik, et al.. (2015). Dynamic modeling of environmental risk associated with drilling discharges to marine sediments. Marine Pollution Bulletin. 99(1-2). 240–249. 8 indexed citations
7.
Johansen, Øistein, et al.. (2015). Natural dispersion revisited. Marine Pollution Bulletin. 93(1-2). 20–26. 75 indexed citations
8.
Socolofsky, Scott A., E. Eric Adams, Michel C. Boufadel, et al.. (2015). Intercomparison of oil spill prediction models for accidental blowout scenarios with and without subsea chemical dispersant injection. Marine Pollution Bulletin. 96(1-2). 110–126. 86 indexed citations
9.
Daling, Per S., Frode Leirvik, Per Johan Brandvik, et al.. (2014). Surface weathering and dispersibility of MC252 crude oil. Marine Pollution Bulletin. 87(1-2). 300–310. 71 indexed citations
10.
Johansen, Stein Tore, et al.. (2014). CFD MODELING OF PNEUMATIC OIL BARRIER. International Oil Spill Conference Proceedings. 2014(1). 300087–300087. 2 indexed citations
11.
Glickson, D., Martha Grabowski, Ken Lee, et al.. (2014). Responding to Oil Spills in the U.S. Arctic Marine Environment. International Oil Spill Conference Proceedings. 2014(1). 283740–283740. 35 indexed citations
12.
Vikebø, Frode B., Vidar S. Lien, Sonnich Meier, et al.. (2013). Spatio-temporal overlap of oil spills and early life stages of fish. ICES Journal of Marine Science. 71(4). 970–981. 27 indexed citations
13.
Rye, Henrik, et al.. (2008). Development of a Numerical Model for Calculating Exposure to Toxic and Nontoxic Stressors in the Water Column and Sediment from Drilling Discharges. Integrated Environmental Assessment and Management. 4(2). 1–1. 34 indexed citations
14.
Fowler, Kathleen, C. T. Kelley, Cass T. Miller, et al.. (2004). Solution of a Well-Field Design Problem with Implicit Filtering. Optimization and Engineering. 5(2). 207–234. 20 indexed citations
15.
Reed, Mark & T. Aunaas. (2004). Development of Data Sets from Experimental Oil Spills for OWM Algorithm and Model Testing and Validation. 1 indexed citations
16.
Price, James M., Mark Reed, Matthew K. Howard, et al.. (2004). Preliminary assessment of an oil-spill trajectory model using satellite-tracked, oil-spill-simulating drifters. Environmental Modelling & Software. 21(2). 258–270. 61 indexed citations
17.
Xiong, Deqi, et al.. (2000). Biological exposure models for oil spill impact analysis. Journal of Environmental Sciences. 12(4). 482–485. 2 indexed citations
18.
Reed, Mark, Ole Morten Aamo, & Per S. Daling. (1997). OSCAR: A Tool for Strategic Analysis of Oil Spill Response Alternatives. 1120–1125. 1 indexed citations
19.
Reed, Mark, et al.. (1994). The role of wind and emulsification in modelling oil spill and surface drifter trajectories. Spill Science & Technology Bulletin. 1(2). 143–157. 84 indexed citations
20.
Reed, Mark, et al.. (1990). Field evaluation of satellite-tracked surface drifting buoys in simulating the movement of spilled oil in the marine environment. Final report. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 14 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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