David M. Kaplan

7.3k total citations
139 papers, 5.0k citations indexed

About

David M. Kaplan is a scholar working on Global and Planetary Change, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, David M. Kaplan has authored 139 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Global and Planetary Change, 54 papers in Ecology and 22 papers in Nature and Landscape Conservation. Recurrent topics in David M. Kaplan's work include Marine and fisheries research (55 papers), Coral and Marine Ecosystems Studies (43 papers) and Fish Ecology and Management Studies (16 papers). David M. Kaplan is often cited by papers focused on Marine and fisheries research (55 papers), Coral and Marine Ecosystems Studies (43 papers) and Fish Ecology and Management Studies (16 papers). David M. Kaplan collaborates with scholars based in United States, France and Chile. David M. Kaplan's co-authors include Louis W. Botsford, Edward A. Mason, Samuel T. Gladding, John L. Largier, Christine N. Meynard, Gerald R. Ferris, Arnaud Grüss, Michelle M. Arthur, Dwight D. Frink and Vilia M. Tarvydas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

David M. Kaplan

134 papers receiving 4.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Kaplan United States 41 1.8k 1.6k 933 677 522 139 5.0k
Michael McCormick United States 37 839 0.5× 791 0.5× 560 0.6× 502 0.7× 117 0.2× 158 5.6k
Patricia M. Anderson United States 49 1.2k 0.7× 1.0k 0.6× 242 0.3× 421 0.6× 141 0.3× 158 8.4k
Adam Butler United Kingdom 29 874 0.5× 688 0.4× 135 0.1× 273 0.4× 120 0.2× 74 3.1k
Claire W. Armstrong Norway 27 695 0.4× 869 0.5× 287 0.3× 168 0.2× 95 0.2× 118 2.3k
François Guillemette Canada 29 1.0k 0.6× 410 0.3× 1.3k 1.4× 198 0.3× 196 0.4× 84 3.8k
DNN 19 1.3k 0.7× 626 0.4× 253 0.3× 503 0.7× 116 0.2× 44 3.9k
Jane Hughes Australia 49 3.8k 2.1× 837 0.5× 419 0.4× 3.1k 4.6× 278 0.5× 423 9.8k
Cameron N. McIntosh Canada 19 697 0.4× 556 0.3× 304 0.3× 444 0.7× 228 0.4× 31 3.5k
Andrew J. Weaver Canada 62 1.8k 1.0× 8.4k 5.1× 4.8k 5.2× 353 0.5× 907 1.7× 303 17.1k
Jock Young Australia 39 1.5k 0.8× 1.8k 1.1× 478 0.5× 1.2k 1.7× 324 0.6× 104 5.0k

Countries citing papers authored by David M. Kaplan

Since Specialization
Citations

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

Fields of papers citing papers by David M. Kaplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Kaplan. 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 David M. Kaplan. The network helps show where David M. Kaplan may publish in the future.

Co-authorship network of co-authors of David M. Kaplan

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Kaplan. A scholar is included among the top collaborators of David M. Kaplan 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 David M. Kaplan. David M. Kaplan 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.
Gaertner, Daniel, et al.. (2024). First look at the distribution of deactivated dFADs used by the French Indian Ocean tropical tuna purse-seine fishery. ICES Journal of Marine Science. 81(9). 1697–1704. 1 indexed citations
2.
Duparc, Antoine, et al.. (2024). Modeling bycatch abundance in tropical tuna purse seine fisheries on floating objects using the Δ method. ICES Journal of Marine Science. 81(5). 887–908. 2 indexed citations
3.
Kaplan, David M., et al.. (2023). Simulations of drifting fish aggregating device (dFAD) trajectories in the Atlantic and Indian Oceans. Fisheries Research. 264. 106711–106711. 3 indexed citations
4.
Burt, April, et al.. (2023). Sources of marine debris for Seychelles and other remote islands in the western Indian Ocean. Marine Pollution Bulletin. 187. 114497–114497. 28 indexed citations
5.
Attrill, Martin J., et al.. (2022). Spatio-temporal variability in drifting Fish Aggregating Device (dFAD) beaching events in the Seychelles Archipelago. ICES Journal of Marine Science. 79(5). 1687–1700. 6 indexed citations
6.
Lett, Christophe, et al.. (2022). Recovery at sea of abandoned, lost or discarded drifting fish aggregating devices. Nature Sustainability. 5(7). 593–602. 18 indexed citations
7.
Guéry, Loreleï, et al.. (2020). Quantifying the increase in fishing efficiency due to the use of drifting FADs equipped with echosounders in tropical tuna purse seine fisheries. ICES Journal of Marine Science. 78(1). 235–245. 26 indexed citations
8.
Meynard, Christine N., David M. Kaplan, & Boris Leroy. (2019). Detecting outliers in species distribution data: Some caveats and clarifications on a virtual species study. Journal of Biogeography. 46(9). 2141–2144. 2 indexed citations
9.
Meynard, Christine N., Boris Leroy, & David M. Kaplan. (2019). Testing methods in species distribution modelling using virtual species: what have we learnt and what are we missing?. Ecography. 42(12). 2021–2036. 62 indexed citations
10.
Friedrichs, Marjorie A. M., et al.. (2018). Likely locations of sea turtle stranding mortality using experimentally-calibrated, time and space-specific drift models. Biological Conservation. 226. 127–143. 27 indexed citations
11.
Kaplan, David M., et al.. (2016). Data-Limited Population-Status Evaluation of Two Coastal Fishes in Southern Angola Using Recreational Catch Length-Frequency Data. PLoS ONE. 11(2). e0147834–e0147834. 4 indexed citations
13.
Kaplan, David M., et al.. (2015). Monthly variability of self-recruitment for a coral reef damselfish. Coral Reefs. 34(3). 759–770. 11 indexed citations
14.
Monsarrat, Sophie, María Grazia Pennino, Tim D. Smith, et al.. (2015). Historical summer distribution of the endangered North Atlantic right whale (Eubalaena glacialis): a hypothesis based on environmental preferences of a congeneric species. Diversity and Distributions. 21(8). 925–937. 17 indexed citations
15.
Château, Olivier, et al.. (2014). Evaluation of transgenerational isotope labeling of embryonic otoliths in a coral reef damselfish with single and repeated injections of enriched 137Barium. Journal of Experimental Marine Biology and Ecology. 459. 151–159. 6 indexed citations
16.
Bez, Nicolas, et al.. (2014). How many Fish Aggregating Devices are currently drifting in the Indian Ocean? Combining sources of information to provide a reliable estimate.. 4 indexed citations
17.
Currie, Jock C., Matthieu Lengaigne, Jérôme Vialard, et al.. (2013). Indian Ocean Dipole and El Niño/Southern Oscillation impacts on regional chlorophyll anomalies in the Indian Ocean. Biogeosciences. 10(10). 6677–6698. 130 indexed citations
18.
Meynard, Christine N. & David M. Kaplan. (2011). The effect of a gradual response to the environment on species distribution modeling performance. Ecography. 35(6). 499–509. 37 indexed citations
19.
Kaplan, David M., Aaron Smith, & Rose Grobstein. (1974). SCHOOL MANAGEMENT OF THE SERIOUSLY ILL CHILD. Journal of School Health. 44(5). 250–254. 12 indexed citations
20.
Kaplan, David M. & Fan Wu. (1971). EIGENVALUES OF ORBITAL ANGULAR MOMENTUM.. Chinese Journal of Physics. 9(1). 31–33. 1 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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