Shunya Koseki

793 total citations
34 papers, 481 citations indexed

About

Shunya Koseki is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Shunya Koseki has authored 34 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Global and Planetary Change, 30 papers in Atmospheric Science and 25 papers in Oceanography. Recurrent topics in Shunya Koseki's work include Climate variability and models (33 papers), Oceanographic and Atmospheric Processes (22 papers) and Meteorological Phenomena and Simulations (17 papers). Shunya Koseki is often cited by papers focused on Climate variability and models (33 papers), Oceanographic and Atmospheric Processes (22 papers) and Meteorological Phenomena and Simulations (17 papers). Shunya Koseki collaborates with scholars based in Norway, Germany and France. Shunya Koseki's co-authors include Noel Keenlyside, Tieh‐Yong Koh, Thomas Toniazzo, William Cabos, Alba de la Vara, Masahiro Watanabe, Teferi Demissie, Katerina Goubanova, Emilia Sánchez-Gómez and François Counillon and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and The Science of The Total Environment.

In The Last Decade

Shunya Koseki

33 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shunya Koseki Norway 13 428 347 285 13 11 34 481
Yishuai Jin China 11 232 0.5× 236 0.7× 165 0.6× 10 0.8× 19 1.7× 37 295
Hyacinth C. Nnamchi Nigeria 12 491 1.1× 380 1.1× 337 1.2× 11 0.8× 8 0.7× 22 555
Alex Megann United Kingdom 10 471 1.1× 415 1.2× 400 1.4× 7 0.5× 20 1.8× 20 564
Xiao‐Yi Yang China 11 387 0.9× 416 1.2× 204 0.7× 15 1.2× 27 2.5× 29 506
Mi‐Kyung Sung South Korea 16 691 1.6× 672 1.9× 288 1.0× 14 1.1× 15 1.4× 32 753
Alok Kumar Mishra India 15 431 1.0× 336 1.0× 222 0.8× 19 1.5× 9 0.8× 47 481
Nobuyuki Shikama Japan 10 254 0.6× 184 0.5× 337 1.2× 12 0.9× 21 1.9× 16 383
Eleftheria Exarchou Spain 9 259 0.6× 182 0.5× 170 0.6× 6 0.5× 8 0.7× 13 295
Libin Ma China 9 272 0.6× 251 0.7× 109 0.4× 12 0.9× 9 0.8× 30 320
Luís Bejarano United States 5 350 0.8× 318 0.9× 280 1.0× 17 1.3× 7 0.6× 9 414

Countries citing papers authored by Shunya Koseki

Since Specialization
Citations

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

Fields of papers citing papers by Shunya Koseki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunya Koseki

This figure shows the co-authorship network connecting the top 25 collaborators of Shunya Koseki. A scholar is included among the top collaborators of Shunya Koseki 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 Shunya Koseki. Shunya Koseki 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.
Koseki, Shunya, et al.. (2024). Dakar Niño under global warming investigated by a high-resolution regionally coupled model. Earth System Dynamics. 15(6). 1401–1416. 1 indexed citations
2.
Koseki, Shunya, et al.. (2024). Assessing the tropical Atlantic biogeochemical processes in the Norwegian Earth System Model. Biogeosciences. 21(18). 4149–4168.
3.
Tang, C. Q., Benjamin Pohl, Béatrice Morel, et al.. (2023). Intraseasonal and synoptic modulation of diurnal surface solar radiation over Reunion island in the South-West Indian Ocean. Solar Energy. 262. 111856–111856. 1 indexed citations
4.
Keenlyside, Noel, François Counillon, Alberto Carrassi, et al.. (2023). Supermodeling: Improving Predictions with an Ensemble of Interacting Models. Bulletin of the American Meteorological Society. 104(9). E1670–E1686. 3 indexed citations
5.
Koseki, Shunya, et al.. (2023). Seasonality of coastal upwelling trends in the Mauritania-Senegalese region under RCP8.5 climate change scenario. The Science of The Total Environment. 898. 166391–166391. 10 indexed citations
6.
Counillon, François, Noel Keenlyside, Shuo Wang, et al.. (2023). Framework for an Ocean‐Connected Supermodel of the Earth System. Journal of Advances in Modeling Earth Systems. 15(3). 6 indexed citations
7.
Koseki, Shunya, et al.. (2023). Disentangling the impact of Atlantic Niño on sea-air CO2 flux. Nature Communications. 14(1). 3649–3649. 9 indexed citations
8.
Keenlyside, Noel, et al.. (2022). Weakening of the Atlantic Niño variability under global warming. Nature Climate Change. 12(9). 822–827. 28 indexed citations
9.
Keenlyside, Noel, et al.. (2022). Scripts: Weakening of the Atlantic Niño variability under global warming. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
10.
Koseki, Shunya, Priscilla Mooney, William Cabos, et al.. (2021). Modelling a tropical-like cyclone in the Mediterranean Sea under present and warmer climate. Natural hazards and earth system sciences. 21(1). 53–71. 23 indexed citations
11.
Koseki, Shunya & Priscilla Mooney. (2019). Influences of Lake Malawi on the spatial and diurnal variability of local precipitation. Hydrology and earth system sciences. 23(7). 2795–2812. 6 indexed citations
12.
Koseki, Shunya & Priscilla Mooney. (2019). Observed and modeled diurnal variations around Lake Malawi. 1 indexed citations
13.
Koseki, Shunya, Hervé Giordani, & Katerina Goubanova. (2019). Frontogenesis of the Angola–Benguela Frontal Zone. Ocean science. 15(1). 83–96. 12 indexed citations
14.
Voldoire, Aurore, Eleftheria Exarchou, Emilia Sánchez-Gómez, et al.. (2019). Role of wind stress in driving SST biases in the Tropical Atlantic. Climate Dynamics. 53(5-6). 3481–3504. 41 indexed citations
15.
Koseki, Shunya, Hervé Giordani, & Katerina Goubanova. (2018). Genesis dynamics of the Angola-Benguela Frontal Zone. Biogeosciences (European Geosciences Union). 2 indexed citations
16.
Koseki, Shunya, et al.. (2018). Atmospheric Signature of the Agulhas Current. Geophysical Research Letters. 45(10). 5185–5193. 26 indexed citations
17.
Koseki, Shunya, et al.. (2014). Borneo vortex and mesoscale convective rainfall. Atmospheric chemistry and physics. 14(9). 4539–4562. 45 indexed citations
18.
Koseki, Shunya, Tomohiro Nakamura, Humio Mitsudera, & Yuqing Wang. (2012). Modeling low‐level clouds over the Okhotsk Sea in summer: Cloud formation and its effects on the Okhotsk high. Journal of Geophysical Research Atmospheres. 117(D5). 15 indexed citations
19.
Koseki, Shunya, et al.. (2012). Effects of the cold tongue in the South China Sea on the monsoon, diurnal cycle and rainfall in the Maritime Continent. Quarterly Journal of the Royal Meteorological Society. 139(675). 1566–1582. 36 indexed citations
20.
Koseki, Shunya, Masahiro Watanabe, & Masahide Kimoto. (2008). Role of the Midlatitude Air-Sea Interaction in Orographically Forced Climate. Journal of the Meteorological Society of Japan Ser II. 86(2). 335–351. 9 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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