Sasha J. Kramer

795 total citations
19 papers, 326 citations indexed

About

Sasha J. Kramer is a scholar working on Oceanography, Ecology and Atmospheric Science. According to data from OpenAlex, Sasha J. Kramer has authored 19 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oceanography, 9 papers in Ecology and 4 papers in Atmospheric Science. Recurrent topics in Sasha J. Kramer's work include Marine and coastal ecosystems (14 papers), Marine Biology and Ecology Research (8 papers) and Microbial Community Ecology and Physiology (6 papers). Sasha J. Kramer is often cited by papers focused on Marine and coastal ecosystems (14 papers), Marine Biology and Ecology Research (8 papers) and Microbial Community Ecology and Physiology (6 papers). Sasha J. Kramer collaborates with scholars based in United States, United Kingdom and Switzerland. Sasha J. Kramer's co-authors include David A. Siegel, Jason R. Graff, Emmanuel Boss, Lee Karp‐Boss, Alison Chase, Nils Haëntjens, Dylan Catlett, Stéphane Maritorena, Kelsey Bisson and Alexis D. Fischer and has published in prestigious journals such as Remote Sensing of Environment, Optics Express and The ISME Journal.

In The Last Decade

Sasha J. Kramer

19 papers receiving 320 citations

Peers

Sasha J. Kramer

OCEAN

ECOLO

GPC

Orens Pasqueron de Fommervault France

Xiaoju Pan Taiwan

Marie Barbieux France

Michela Sammartino Italy

Yoana G. Voynova Germany

M.C. Hartman United Kingdom

Nathalie Guillocheau United States

Agnieszka Zdun Poland

Ryszard Hapter Poland

Dominique Durand Norway

Orens Pasqueron de Fommervault France

Sasha J. Kramer

413 ×1.7

OCEAN

123 ×0.9

ECOLO

117 ×1.8

GPC

56 ×1.2

32 ×1.1

Citations per year, relative to Sasha J. Kramer Sasha J. Kramer (= 1×) peers Orens Pasqueron de Fommervault

Countries citing papers authored by Sasha J. Kramer

Since Specialization

Citations

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

Fields of papers citing papers by Sasha J. Kramer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sasha J. Kramer. 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 Sasha J. Kramer. The network helps show where Sasha J. Kramer may publish in the future.

Co-authorship network of co-authors of Sasha J. Kramer

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

All Works

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19 of 19 papers shown

Kramer, Sasha J., Margaret Estapa, Tatiana A. Rynearson, et al.. (2025). Sinking particles exporting diatoms and Hacrobia predict the magnitude of oceanic POC flux. The ISME Journal. 19(1). 1 indexed citations

Siegel, David A., Adrian Burd, Margaret Estapa, et al.. (2025). Assessing Marine Snow Dynamics During the Demise of the North Atlantic Spring Bloom Using In Situ Particle Imagery. Global Biogeochemical Cycles. 39(11). 1 indexed citations

Kramer, Sasha J., Stéphane Maritorena, Ivona Cetinić, P. Jeremy Werdell, & David A. Siegel. (2024). Phytoplankton communities quantified from hyperspectral ocean reflectance correspond to pigment-based communities. Optics Express. 32(20). 34482–34482. 3 indexed citations

Kramer, Sasha J., Luis M. Bolaños, Dylan Catlett, et al.. (2024). Toward a synthesis of phytoplankton community composition methods for global‐scale application. Limnology and Oceanography Methods. 22(4). 217–240. 6 indexed citations

Brzezinski, Mark A., et al.. (2024). Size‐Fractionated Primary Production Dynamics During the Decline Phase of the North Atlantic Spring Bloom. Global Biogeochemical Cycles. 38(7). 3 indexed citations

Bisson, Kelsey, et al.. (2023). Informing ocean color inversion products by seeding with ancillary observations. Optics Express. 31(24). 40557–40557. 3 indexed citations

Kramer, Sasha J., Kelsey Bisson, & Catherine Mitchell. (2023). What data are needed to detect wildfire effects on coastal ecosystems? A case study during the Thomas Fire. Frontiers in Marine Science. 10. 2 indexed citations

Bisson, Kelsey, Santiago Gassó, N. M. Mahowald, et al.. (2023). Observing ocean ecosystem responses to volcanic ash. Remote Sensing of Environment. 296. 113749–113749. 12 indexed citations

Fox, James, Sasha J. Kramer, Jason R. Graff, et al.. (2022). An absorption‐based approach to improved estimates of phytoplankton biomass and net primary production. Limnology and Oceanography Letters. 7(5). 419–426. 12 indexed citations

10.

Kramer, Sasha J., David A. Siegel, Stéphane Maritorena, & Dylan Catlett. (2022). Modeling surface ocean phytoplankton pigments from hyperspectral remote sensing reflectance on global scales. Remote Sensing of Environment. 270. 112879–112879. 42 indexed citations

11.

Bell, Thomas G., Wei‐Lei Wang, Michael J. Lawler, et al.. (2021). Predictability of seawater DMS during the North Atlantic Aerosol and Marine Ecosystem Study (NAAMES). 1 indexed citations

12.

Kramer, Sasha J., Kelsey Bisson, & Alexis D. Fischer. (2020). Observations of Phytoplankton Community Composition in the Santa Barbara Channel During the Thomas Fire. Journal of Geophysical Research Oceans. 125(12). 22 indexed citations

13.

Fox, James, Michael J. Behrenfeld, Nils Haëntjens, et al.. (2020). Phytoplankton Growth and Productivity in the Western North Atlantic: Observations of Regional Variability From the NAAMES Field Campaigns. Frontiers in Marine Science. 7. 39 indexed citations

14.

Kramer, Sasha J., David A. Siegel, & Jason R. Graff. (2020). Phytoplankton Community Composition Determined From Co-variability Among Phytoplankton Pigments From the NAAMES Field Campaign. Frontiers in Marine Science. 7. 35 indexed citations

15.

Chase, Alison, Sasha J. Kramer, Nils Haëntjens, et al.. (2020). Evaluation of diagnostic pigments to estimate phytoplankton size classes. Limnology and Oceanography Methods. 18(10). 570–584. 48 indexed citations

16.

Kramer, Sasha J. & David A. Siegel. (2019). How Can Phytoplankton Pigments Be Best Used to Characterize Surface Ocean Phytoplankton Groups for Ocean Color Remote Sensing Algorithms?. Journal of Geophysical Research Oceans. 124(11). 7557–7574. 68 indexed citations

17.

Kramer, Sasha J., Collin S. Roesler, & Heidi M. Sosik. (2018). Bio-optical discrimination of diatoms from other phytoplankton in the surface ocean: Evaluation and refinement of a model for the Northwest Atlantic. Remote Sensing of Environment. 217. 126–143. 16 indexed citations

18.

Kramer, Sasha J.. (2014). The Relationship between Nitrate Concentration and Phytoplankton Blooms in Harpswell Sound. Bowdoin - Digital Commons (Bowdoin College). 1 indexed citations

19.

Hoz, Rafael E. de la, et al.. (2012). Polysomnographic Diagnoses Among Former World Trade Center Rescue Workers and Volunteers. Archives of Environmental & Occupational Health. 67(4). 239–242. 11 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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