Hakase Hayashida

1.1k total citations
24 papers, 454 citations indexed

About

Hakase Hayashida is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Hakase Hayashida has authored 24 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oceanography, 15 papers in Atmospheric Science and 12 papers in Global and Planetary Change. Recurrent topics in Hakase Hayashida's work include Arctic and Antarctic ice dynamics (12 papers), Marine and coastal ecosystems (12 papers) and Oceanographic and Atmospheric Processes (9 papers). Hakase Hayashida is often cited by papers focused on Arctic and Antarctic ice dynamics (12 papers), Marine and coastal ecosystems (12 papers) and Oceanographic and Atmospheric Processes (9 papers). Hakase Hayashida collaborates with scholars based in Australia, Canada and Japan. Hakase Hayashida's co-authors include Peter G. Strutton, Richard J. Matear, Nadja Steiner, Xuebin Zhang, Adam H. Monahan, Tessa Sou, Eric Mortenson, Virginie Galindo, Andrew Shao and James R. Christian and has published in prestigious journals such as Nature Communications, Global Change Biology and Global Biogeochemical Cycles.

In The Last Decade

Hakase Hayashida

21 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hakase Hayashida Australia 12 279 217 214 97 76 24 454
Hiromichi Ueno Japan 14 457 1.6× 250 1.2× 277 1.3× 113 1.2× 60 0.8× 45 586
Tessa Sou Canada 11 174 0.6× 165 0.8× 297 1.4× 58 0.6× 68 0.9× 18 429
Amèlie Sallon France 7 213 0.8× 110 0.5× 204 1.0× 103 1.1× 80 1.1× 7 353
Anna Nikolopoulos Norway 12 230 0.8× 98 0.5× 298 1.4× 103 1.1× 156 2.1× 24 443
João Rodrigues United Kingdom 5 232 0.8× 117 0.5× 124 0.6× 191 2.0× 32 0.4× 5 378
В. А. Лучин Russia 11 351 1.3× 150 0.7× 318 1.5× 95 1.0× 184 2.4× 25 539
George A. Whitehouse United States 9 127 0.5× 256 1.2× 139 0.6× 159 1.6× 38 0.5× 13 393
Laurent Oziel France 13 506 1.8× 182 0.8× 471 2.2× 211 2.2× 236 3.1× 17 786
Kate M. Lewis United States 11 493 1.8× 117 0.5× 383 1.8× 208 2.1× 158 2.1× 16 685
Zhi-Ping Mei Canada 11 431 1.5× 121 0.6× 210 1.0× 225 2.3× 125 1.6× 13 548

Countries citing papers authored by Hakase Hayashida

Since Specialization
Citations

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

Fields of papers citing papers by Hakase Hayashida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hakase Hayashida

This figure shows the co-authorship network connecting the top 25 collaborators of Hakase Hayashida. A scholar is included among the top collaborators of Hakase Hayashida 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 Hakase Hayashida. Hakase Hayashida 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.
Wongpan, Pat, et al.. (2024). Data collation for climate-cooling gas dimethylsulfide in Antarctic snow, sea ice and underlying seawater. Scientific Data. 11(1). 1185–1185. 1 indexed citations
2.
Wood, Richard, Jonathan Baker, Grégory Beaugrand, et al.. (2024). Opportunities for Earth Observation to Inform Risk Management for Ocean Tipping Points. Surveys in Geophysics. 46(2). 443–502. 3 indexed citations
3.
Miyazawa, Yasumasa, et al.. (2024). An ensemble-based data assimilation system for forecasting variability of the Northwestern Pacific ocean. Ocean Dynamics. 74(6). 471–493.
4.
Menviel, Laurie, Paul Spence, Andrew E. Kiss, et al.. (2023). Enhanced Southern Ocean CO 2 outgassing as a result of stronger and poleward shifted southern hemispheric westerlies. Biogeosciences. 20(21). 4413–4431. 3 indexed citations
5.
Willis, Megan D., Delphine Lannuzel, Brent Else, et al.. (2023). Polar oceans and sea ice in a changing climate. Elementa Science of the Anthropocene. 11(1). 13 indexed citations
6.
Hayashida, Hakase, Andrew E. Kiss, Toru Miyama, Yasumasa Miyazawa, & Sayaka Yasunaka. (2023). Anomalous Nutricline Drives Marked Biogeochemical Contrasts During the Kuroshio Large Meander. Journal of Geophysical Research Oceans. 128(7). 5 indexed citations
7.
8.
Christian, James R., Kenneth L. Denman, Hakase Hayashida, et al.. (2022). Ocean biogeochemistry in the Canadian Earth System Model version 5.0.3: CanESM5 and CanESM5-CanOE. Geoscientific model development. 15(11). 4393–4424. 34 indexed citations
9.
Hayashida, Hakase, et al.. (2022). Benefits and detrimental effects of ocean warming for Tasmanian salmon aquaculture. Continental Shelf Research. 246. 104829–104829. 16 indexed citations
10.
Hayashida, Hakase, Meibing Jin, Nadja Steiner, et al.. (2021). Ice Algae Model Intercomparison Project phase 2 (IAMIP2). Geoscientific model development. 14(11). 6847–6861. 9 indexed citations
11.
Christian, James R., Kenneth L. Denman, Hakase Hayashida, et al.. (2021). Ocean biogeochemistry in the Canadian Earth System Model version 5.0.3: CanESM5 and CanESM5-CanOE. 3 indexed citations
12.
Hashihama, Fuminori, Shinya Kouketsu, Yoshiko Kondo, et al.. (2021). Decadal vision in oceanography 2021: Mid-latitude ocean. Oceanography in Japan. 30(5). 127–154. 1 indexed citations
13.
Hayashida, Hakase, Richard J. Matear, & Peter G. Strutton. (2020). Background nutrient concentration determines phytoplankton bloom response to marine heatwaves. Global Change Biology. 26(9). 4800–4811. 92 indexed citations
14.
Mortenson, Eric, Nadja Steiner, Adam H. Monahan, et al.. (2020). Modeled Impacts of Sea Ice Exchange Processes on Arctic Ocean Carbon Uptake and Acidification (1980–2015). Journal of Geophysical Research Oceans. 125(7). 19 indexed citations
15.
Hayashida, Hakase, Richard J. Matear, Peter G. Strutton, & Xuebin Zhang. (2020). Insights into projected changes in marine heatwaves from a high-resolution ocean circulation model. Nature Communications. 11(1). 4352–4352. 86 indexed citations
16.
Watanabe, Eiji, Meibing Jin, Hakase Hayashida, Jinlun Zhang, & Nadja Steiner. (2019). Multi‐Model Intercomparison of the Pan‐Arctic Ice‐Algal Productivity on Seasonal, Interannual, and Decadal Timescales. Journal of Geophysical Research Oceans. 124(12). 9053–9084. 21 indexed citations
17.
Hayashida, Hakase, James R. Christian, Xianmin Hu, et al.. (2019). CSIB v1 (Canadian Sea-ice Biogeochemistry): a sea-ice biogeochemical model for the NEMO community ocean modelling framework. Geoscientific model development. 12(5). 1965–1990. 16 indexed citations
18.
19.
Hayashida, Hakase, James R. Christian, Xianmin Hu, et al.. (2018). CSIB v1: a sea-ice biogeochemical model for the NEMO communityocean modelling framework. Biogeosciences (European Geosciences Union). 2 indexed citations
20.
Hayashida, Hakase, Nadja Steiner, Adam H. Monahan, et al.. (2017). Implications of sea-ice biogeochemistry for oceanic production and emissions of dimethyl sulfide in the Arctic. Biogeosciences. 14(12). 3129–3155. 33 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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