Akio Arakawa

14.5k total citations · 7 hit papers
98 papers, 8.8k citations indexed

About

Akio Arakawa is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Akio Arakawa has authored 98 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Atmospheric Science, 54 papers in Global and Planetary Change and 19 papers in Oceanography. Recurrent topics in Akio Arakawa's work include Meteorological Phenomena and Simulations (67 papers), Climate variability and models (47 papers) and Tropical and Extratropical Cyclones Research (18 papers). Akio Arakawa is often cited by papers focused on Meteorological Phenomena and Simulations (67 papers), Climate variability and models (47 papers) and Tropical and Extratropical Cyclones Research (18 papers). Akio Arakawa collaborates with scholars based in United States, Japan and Taiwan. Akio Arakawa's co-authors include Wayne H. Schubert, Fedor Mesinger, V. R. Lamb, Chien‐Ming Wu, David A. Randall, Carlos R. Mechoso, Marat Khairoutdinov, Wojciech W. Grabowski, Max J. Suárez and Young‐Joon Kim and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Journal of Climate.

In The Last Decade

Akio Arakawa

94 papers receiving 8.1k citations

Hit Papers

Interaction of a Cumulus Cloud Ensemble with the Large-Sc... 1966 2026 1986 2006 1974 1966 2004 1997 2003 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akio Arakawa United States 38 6.8k 6.2k 2.0k 1.2k 539 98 8.8k
Dale R. Durran United States 46 6.0k 0.9× 4.0k 0.7× 1.2k 0.6× 1.1k 0.9× 1.0k 1.9× 128 7.5k
Andrew Staniforth United Kingdom 36 4.5k 0.7× 3.3k 0.5× 1.0k 0.5× 1.8k 1.5× 645 1.2× 132 6.4k
Piotr K. Smolarkiewicz United States 52 4.7k 0.7× 3.0k 0.5× 1.2k 0.6× 2.8k 2.3× 982 1.8× 156 8.1k
Geoffrey K. Vallis United States 43 5.2k 0.8× 5.0k 0.8× 4.3k 2.1× 915 0.8× 210 0.4× 148 8.2k
Brian F. Farrell United States 41 3.4k 0.5× 3.6k 0.6× 1.6k 0.8× 2.6k 2.2× 635 1.2× 107 6.6k
Joseph Pedlosky United States 39 5.5k 0.8× 4.7k 0.8× 7.7k 3.8× 2.0k 1.7× 199 0.4× 173 12.5k
A. E. Gill United Kingdom 37 5.6k 0.8× 5.5k 0.9× 5.3k 2.6× 1.5k 1.3× 190 0.4× 64 9.2k
S. Leibovich United States 27 2.5k 0.4× 1.4k 0.2× 3.3k 1.6× 3.5k 3.0× 566 1.1× 80 8.2k
James J. Hack United States 41 9.2k 1.4× 8.6k 1.4× 2.2k 1.1× 559 0.5× 295 0.5× 79 11.1k
David G. Dritschel United Kingdom 38 2.4k 0.4× 1.2k 0.2× 2.2k 1.1× 1.8k 1.6× 233 0.4× 181 4.9k

Countries citing papers authored by Akio Arakawa

Since Specialization
Citations

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

Fields of papers citing papers by Akio Arakawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akio Arakawa

This figure shows the co-authorship network connecting the top 25 collaborators of Akio Arakawa. A scholar is included among the top collaborators of Akio Arakawa 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 Akio Arakawa. Akio Arakawa 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
2.
Arakawa, Akio, et al.. (2014). Modeling the moist‐convective atmosphere with a Quasi‐3‐D Multiscale Modeling Framework (Q3D MMF). Journal of Advances in Modeling Earth Systems. 6(1). 185–205. 15 indexed citations
3.
Wu, Chien‐Ming & Akio Arakawa. (2011). Inclusion of Surface Topography into the Vector Vorticity Equation Model (VVM). Journal of Advances in Modeling Earth Systems. 3(2). n/a–n/a. 21 indexed citations
4.
Arakawa, Akio, Jinwook Jung, & Chien‐Ming Wu. (2011). Toward unification of the multiscale modeling of the atmosphere. Atmospheric chemistry and physics. 11(8). 3731–3742. 146 indexed citations
5.
Takeuchi, Yutaka, et al.. (2004). Development of Operator Training Simulator for Rokkasho Reprocessing Plant. Transactions of the Atomic Energy Society of Japan. 3(4). 407–416.
6.
Yu, Jin‐Yi, Carlos R. Mechoso, James C. McWilliams, & Akio Arakawa. (2002). Impacts of the Indian Ocean on the ENSO cycle. Geophysical Research Letters. 29(8). 102 indexed citations
7.
Tung, Wen‐wen, et al.. (1999). Basic modes of cumulus heating and drying observed during TOGA‐COARE IOP. Geophysical Research Letters. 26(20). 3117–3120. 23 indexed citations
8.
Arakawa, Akio. (1997). Adjustment Mechanisms in Atmospheric Models (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice). Journal of the Meteorological Society of Japan Ser II. 75(1B). 155–179. 8 indexed citations
9.
Arakawa, Akio. (1997). Computational Design for Long-Term Numerical Integration of the Equations of Fluid Motion: Two-Dimensional Incompressible Flow. Part I. Journal of Computational Physics. 135(2). 103–114. 569 indexed citations breakdown →
10.
Arakawa, Akio & Celal S. Konor. (1996). Vertical Differencing of the Primitive Equations Based on the Charney–Phillips Grid in Hybrid &sigma–pVertical Coordinates. Monthly Weather Review. 124(3). 511–528. 59 indexed citations
11.
Kim, Young‐Joon & Akio Arakawa. (1995). Improvement of Orographic Gravity Wave Parameterization Using a Mesoscale Gravity Wave Model. Journal of the Atmospheric Sciences. 52(11). 1875–1902. 195 indexed citations
12.
Arakawa, Akio & Shrinivas Moorthi. (1988). Baroclinic Instability in Vertically Discrete Systems. Journal of the Atmospheric Sciences. 45(11). 1688–1708. 56 indexed citations
13.
Arakawa, Akio, et al.. (1986). Closure Assumptions in the Cumulus Parameterization Problem. Journal of the Meteorological Society of Japan Ser II. 64A(0). 107–131. 24 indexed citations
14.
Moeng, Chin‐Hoh & Akio Arakawa. (1980). A Numerical Study of a Marine Subtropical Stratus Cloud Layer and its Stability. Journal of the Atmospheric Sciences. 37(12). 2661–2676. 25 indexed citations
15.
Arakawa, Akio. (1961). The Variation of General Circulation in the Barotropic Atmosphere. Journal of the Meteorological Society of Japan Ser II. 39(2). 49–58. 10 indexed citations
16.
Arakawa, Akio. (1960). Non-Geostrophic Effects in the Baroclinic Prognostic Equation. Journal of the Meteorological Society of Japan Ser II. 38(6). 16b–16b. 11 indexed citations
17.
Arakawa, Akio. (1957). On the Mean Meridional Circulation in the Atmosphere. Journal of the Meteorological Society of Japan Ser II. 35A(0). 230–236. 3 indexed citations
18.
Matsumoto, Seiichi, et al.. (1954). An Aerological Study on the Pre-summer Rainy Season in Japan. Journal of the Meteorological Society of Japan Ser II. 32(4). 85–95. 1 indexed citations
19.
Matsumoto, Seiichi, et al.. (1954). On the Cut-off Lows Observed on 12 and 18 June 1951 over Japan. Journal of the Meteorological Society of Japan Ser II. 32(2). 53–56. 2 indexed citations
20.
Matsumoto, Seiichi, et al.. (1953). On the Monthly Mean Distribution of Temperature, Wind and Relative Humidity of the Atmosphere over Japan from March 1951 to February 1952. Journal of the Meteorological Society of Japan Ser II. 31(7). 248–258. 5 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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