R. M. Kudela

531 total citations
11 papers, 402 citations indexed

About

R. M. Kudela is a scholar working on Oceanography, Ecology and Environmental Chemistry. According to data from OpenAlex, R. M. Kudela has authored 11 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oceanography, 5 papers in Ecology and 5 papers in Environmental Chemistry. Recurrent topics in R. M. Kudela's work include Marine and coastal ecosystems (9 papers), Marine animal studies overview (3 papers) and Marine Toxins and Detection Methods (3 papers). R. M. Kudela is often cited by papers focused on Marine and coastal ecosystems (9 papers), Marine animal studies overview (3 papers) and Marine Toxins and Detection Methods (3 papers). R. M. Kudela collaborates with scholars based in United States. R. M. Kudela's co-authors include P. Raimondi, Daniel P. Costa, Samantha E. Simmons, Sara M. Maxwell, Daniel Croll, Christopher R. Perle, Andreas Rais, BA Block, Ken-ichi Hayashi and Michele A. Burford and has published in prestigious journals such as Marine Ecology Progress Series, Aquatic Microbial Ecology and Oceanography.

In The Last Decade

R. M. Kudela

11 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. M. Kudela United States 8 267 194 156 92 38 11 402
Felicity Shelley United Kingdom 8 219 0.8× 219 1.1× 206 1.3× 156 1.7× 35 0.9× 9 439
Zrinka Burić Croatia 13 305 1.1× 106 0.5× 155 1.0× 68 0.7× 24 0.6× 20 381
Mika Raateoja Finland 10 351 1.3× 165 0.9× 147 0.9× 69 0.8× 24 0.6× 20 424
Romina Kraus Croatia 15 443 1.7× 222 1.1× 143 0.9× 193 2.1× 33 0.9× 30 620
Elif Eker‐Develi Türkiye 12 458 1.7× 203 1.0× 121 0.8× 160 1.7× 29 0.8× 27 564
Pellervo Kokkonen United States 4 376 1.4× 219 1.1× 169 1.1× 72 0.8× 19 0.5× 7 494
N. Saravanane India 7 219 0.8× 160 0.8× 73 0.5× 95 1.0× 22 0.6× 31 357
N. Wasmund Germany 7 398 1.5× 191 1.0× 177 1.1× 89 1.0× 13 0.3× 10 472
Kent K. Cavender‐Bares United States 7 383 1.4× 285 1.5× 97 0.6× 81 0.9× 21 0.6× 8 502
Joanna Paczkowska Sweden 11 268 1.0× 237 1.2× 93 0.6× 83 0.9× 26 0.7× 13 412

Countries citing papers authored by R. M. Kudela

Since Specialization
Citations

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

Fields of papers citing papers by R. M. Kudela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. M. Kudela

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

All Works

11 of 11 papers shown
1.
Berg, GM, Susan Kane Driscoll, Ken-ichi Hayashi, & R. M. Kudela. (2019). Effects of nitrogen source, concentration, and irradiance on growth rates of two diatoms endemic to northern San Francisco Bay. Aquatic Biology. 28. 33–43. 4 indexed citations
3.
Hayashi, Ken-ichi, et al.. (2017). Phytoplankton and microbial abundance and bloom dynamics in the upwelling shadow of Monterey Bay, California, from 2006 to 2013. Marine Ecology Progress Series. 572. 43–56. 14 indexed citations
4.
Kudela, R. M., Elisa Berdalet, Stewart Bernard, et al.. (2015). Harmful Algal Blooms : A scientific summary for policy makers. eCite Digital Repository (University of Tasmania). 54 indexed citations
5.
Maxwell, Sara M., et al.. (2015). Are we missing important areas in pelagic marine conservation? Redefining conservation hotspots in the ocean. Endangered Species Research. 29(3). 229–237. 33 indexed citations
6.
Kudela, R. M., et al.. (2012). Alkaline phosphatase activity detected in distinct phytoplankton communities in the northern Gulf of Alaska. Marine Ecology Progress Series. 473. 79–90. 7 indexed citations
7.
Raimondi, P., et al.. (2009). Development of a logistic regression model for the prediction of toxigenic Pseudo-nitzschia blooms in Monterey Bay, California. Marine Ecology Progress Series. 383. 37–51. 72 indexed citations
8.
Kudela, R. M., et al.. (2009). Estimating chlorophyll profiles from electronic tags deployed on pelagic animals. Aquatic Biology. 5. 195–207. 29 indexed citations
9.
Simmons, Samantha E., et al.. (2007). Linking foraging behaviour of the northern elephant seal with oceanography and bathymetry at mesoscales. Marine Ecology Progress Series. 346. 265–275. 42 indexed citations
10.
Ryan, John P., et al.. (2005). Coastal ocean physics and red tides. Oceanography. 18(2). 247–255. 6 indexed citations
11.
Kudela, R. M., et al.. (2000). Nitrogen and carbon uptake kinetics and the influence of irradiance for a red tide bloom off southern California. Aquatic Microbial Ecology. 21. 31–47. 129 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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