Daniel Kamykowski

3.5k total citations
80 papers, 2.9k citations indexed

About

Daniel Kamykowski is a scholar working on Oceanography, Environmental Chemistry and Global and Planetary Change. According to data from OpenAlex, Daniel Kamykowski has authored 80 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Oceanography, 27 papers in Environmental Chemistry and 21 papers in Global and Planetary Change. Recurrent topics in Daniel Kamykowski's work include Marine and coastal ecosystems (66 papers), Oceanographic and Atmospheric Processes (23 papers) and Marine Biology and Ecology Research (21 papers). Daniel Kamykowski is often cited by papers focused on Marine and coastal ecosystems (66 papers), Oceanographic and Atmospheric Processes (23 papers) and Marine Biology and Ecology Research (21 papers). Daniel Kamykowski collaborates with scholars based in United States, Japan and Ecuador. Daniel Kamykowski's co-authors include Sara‐Joan Zentara, Robert E. Reed, Kendall L. Carder, Hidekatsu Yamazaki, N. Meskhidze, Gary J. Kirkpatrick, B. Gantt, John M. Morrison, G. S. Janowitz and Blake A. Schaeffer and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Limnology and Oceanography.

In The Last Decade

Daniel Kamykowski

77 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Kamykowski United States 29 2.4k 953 760 637 375 80 2.9k
Gabriel A. Vargo United States 25 1.9k 0.8× 914 1.0× 808 1.1× 551 0.9× 303 0.8× 39 2.7k
Duncan A. Purdie United Kingdom 31 2.4k 1.0× 1.3k 1.3× 843 1.1× 460 0.7× 273 0.7× 85 3.0k
James Aiken United Kingdom 27 2.5k 1.0× 1.0k 1.1× 263 0.3× 872 1.4× 264 0.7× 55 3.1k
Joséphine Ras France 30 3.0k 1.3× 1.5k 1.6× 349 0.5× 569 0.9× 337 0.9× 50 3.6k
Patrick M. Holligan United Kingdom 26 3.1k 1.3× 1.1k 1.2× 403 0.5× 604 0.9× 707 1.9× 32 3.5k
Timothy J. Cowles United States 31 2.5k 1.1× 1.0k 1.1× 344 0.5× 1.2k 1.9× 445 1.2× 52 3.2k
T. Platt Canada 28 4.2k 1.8× 2.0k 2.1× 887 1.2× 1.3k 2.0× 512 1.4× 53 5.1k
F. G. Figueiras Spain 36 3.5k 1.5× 1.6k 1.7× 882 1.2× 1.2k 1.9× 422 1.1× 122 4.3k
Wayne E. Esaias United States 29 2.6k 1.1× 954 1.0× 215 0.3× 1.3k 2.1× 620 1.7× 63 3.4k
Toby K. Westberry United States 29 3.0k 1.3× 1.2k 1.2× 315 0.4× 951 1.5× 583 1.6× 46 3.4k

Countries citing papers authored by Daniel Kamykowski

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kamykowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Kamykowski

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Kamykowski. A scholar is included among the top collaborators of Daniel Kamykowski 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 Daniel Kamykowski. Daniel Kamykowski 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.
Meskhidze, N., et al.. (2015). Quantifying environmental stress-induced emissions of algal isoprene and monoterpenes using laboratory measurements. Biogeosciences. 12(3). 637–651. 69 indexed citations
2.
Liu, Yanyun, Lian Xie, John M. Morrison, & Daniel Kamykowski. (2013). Dynamic Downscaling of the Impact of Climate Change on the Ocean Circulation in the Galápagos Archipelago. Advances in Meteorology. 2013. 1–18. 16 indexed citations
3.
Yamazaki, Hidekatsu, et al.. (2012). A Lagrangian model for phototaxis-induced thin layer formation. Deep Sea Research Part II Topical Studies in Oceanography. 101. 193–206. 10 indexed citations
4.
5.
Gantt, B., N. Meskhidze, & Daniel Kamykowski. (2009). A new physically-based quantification of isoprene and primary organic aerosol emissions from the world's oceans. 11 indexed citations
6.
Schaeffer, Blake A., et al.. (2009). LIPID CLASS, CAROTENOID, AND TOXIN DYNAMICS OF KARENIA BREVIS (DINOPHYCEAE) DURING DIEL VERTICAL MIGRATION1. Journal of Phycology. 45(1). 154–163. 16 indexed citations
7.
Gantt, B., N. Meskhidze, & Daniel Kamykowski. (2009). A new physically-based quantification of marine isoprene and primary organic aerosol emissions. Atmospheric chemistry and physics. 9(14). 4915–4927. 139 indexed citations
8.
Dolah, Frances M. Van, Kristy B. Lidie, Emily A. Monroe, et al.. (2008). The Florida red tide dinoflagellate Karenia brevis: New insights into cellular and molecular processes underlying bloom dynamics. Harmful Algae. 8(4). 562–572. 45 indexed citations
9.
Kamykowski, Daniel, et al.. (2008). Benthic-pelagic coupling in sediment-associated populations of Karenia brevis. Journal of Plankton Research. 30(7). 829–838. 25 indexed citations
10.
Schaeffer, Blake A., et al.. (2007). A COMPARISON OF PHOTORESPONSE AMONG TEN DIFFERENT KARENIA BREVIS (DINOPHYCEAE) ISOLATES1. Journal of Phycology. 43(4). 702–714. 19 indexed citations
11.
12.
Carder, Kendall L., et al.. (1999). Semianalytic Moderate‐Resolution Imaging Spectrometer algorithms for chlorophyll a and absorption with bio‐optical domains based on nitrate‐depletion temperatures. Journal of Geophysical Research Atmospheres. 104(C3). 5403–5421. 470 indexed citations
13.
Kamykowski, Daniel, et al.. (1999). GEOTAXIS/PHOTOTAXIS AND BIOCHEMICAL PATTERNS IN HETEROCAPSA (=CACHONINA) ILLDEFINA (DINOPHYCEAE) DURING DIEL VERTICAL MIGRATIONS. Journal of Phycology. 35(6). 1397–1403. 23 indexed citations
14.
Yamazaki, Hidekatsu & Daniel Kamykowski. (1991). The vertical trajectories of motile phytoplankton in a wind-mixed water column. Deep Sea Research Part A Oceanographic Research Papers. 38(2). 219–241. 65 indexed citations
15.
Kirkpatrick, Gary J., et al.. (1990). Measurement of Photosynthetic Response to Euphotic Zone Physical Forcing. Oceanography. 3(1). 18–22. 7 indexed citations
16.
Kamykowski, Daniel & Sara‐Joan Zentara. (1985). Nitrate and silicic acid in the world ocean: patterns and processes. Marine Ecology Progress Series. 26. 47–59. 32 indexed citations
17.
Zentara, Sara‐Joan & Daniel Kamykowski. (1981). Geographic variations in the relationship between silicic acid and nitrate in the South Pacific Ocean. Deep Sea Research Part A Oceanographic Research Papers. 28(5). 455–465. 49 indexed citations
18.
Kamykowski, Daniel. (1979). The growth response of a model Gymnodinium splendens in stationary and wavy water columns. Marine Biology. 50(4). 289–303. 13 indexed citations
19.
Kamykowski, Daniel. (1978). Organism patchiness in lakes resulting from the interaction between the internal seiche and planktonic diurnal vertical migration. Ecological Modelling. 4(2-3). 197–210. 5 indexed citations
20.
Miller, John R., et al.. (1976). Air-Borne Water-Colour Measurements off the Nova Scotia Coast. Canadian Journal of Remote Sensing. 2(1). 42–47. 4 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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