Maki Kikuchi

1.3k total citations
20 papers, 769 citations indexed

About

Maki Kikuchi is a scholar working on Atmospheric Science, Global and Planetary Change and Paleontology. According to data from OpenAlex, Maki Kikuchi has authored 20 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atmospheric Science, 18 papers in Global and Planetary Change and 1 paper in Paleontology. Recurrent topics in Maki Kikuchi's work include Atmospheric aerosols and clouds (18 papers), Atmospheric chemistry and aerosols (14 papers) and Atmospheric and Environmental Gas Dynamics (9 papers). Maki Kikuchi is often cited by papers focused on Atmospheric aerosols and clouds (18 papers), Atmospheric chemistry and aerosols (14 papers) and Atmospheric and Environmental Gas Dynamics (9 papers). Maki Kikuchi collaborates with scholars based in Japan, China and Netherlands. Maki Kikuchi's co-authors include Takashi M. Nagao, Hiroshi Murakami, Akiko Higurashi, Mayumi Yoshida, Kentaroh Suzuki, Keiya Yumimoto, Taichu Y. Tanaka, Husi Letu, Takashi Y. Nakajima and Miho Sekiguchi and has published in prestigious journals such as The Science of The Total Environment, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Maki Kikuchi

20 papers receiving 753 citations

Peers

Maki Kikuchi

GPC

HTM

Youtong Zheng United States

John E. Yorks United States

S. Paradise United States

Luc Blarel France

Marcin Witek United States

Catherine Moroney United States

María José Granados-Muñoz Spain

N. T. O’Neill Canada

J. Christine Chiu United States

Yannian Zhu China

Youtong Zheng United States

Maki Kikuchi

858 ×1.3

935 ×1.4

GPC

104 ×1.0

120 ×1.2

HTM

27 ×0.5

Citations per year, relative to Maki Kikuchi Maki Kikuchi (= 1×) peers Youtong Zheng

Countries citing papers authored by Maki Kikuchi

Since Specialization

Citations

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

Fields of papers citing papers by Maki Kikuchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maki Kikuchi

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

All Works

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20 of 20 papers shown

Wehr, Tobias, Takuji Kubota, Kotska Wallace, et al.. (2023). The EarthCARE mission – science and system overview. Atmospheric measurement techniques. 16(15). 3581–3608. 72 indexed citations

Shi, Chong, Husi Letu, Run Ma, et al.. (2023). Evaluation and uncertainty analysis of Himawari-8 hourly aerosol product version 3.1 and its influence on surface solar radiation before and during the COVID-19 outbreak. The Science of The Total Environment. 892. 164456–164456. 7 indexed citations

Sherriff‐Tadano, Sam, Ayako Abe‐Ouchi, Masakazu Yoshimori, et al.. (2023). Southern Ocean Surface Temperatures and Cloud Biases in Climate Models Connected to the Representation of Glacial Deep Ocean Circulation. Journal of Climate. 36(11). 3849–3866. 9 indexed citations

Yoshida, Mayumi, Keiya Yumimoto, Takashi M. Nagao, et al.. (2021). Satellite retrieval of aerosol combined with assimilated forecast. Atmospheric chemistry and physics. 21(3). 1797–1813. 27 indexed citations

Kikuchi, Maki, Hajime Okamoto, & Kaori Sato. (2021). A Climatological View of Horizontal Ice Plates in Clouds: Findings From Nadir and Off‐Nadir CALIPSO Observations. Journal of Geophysical Research Atmospheres. 126(9). 12 indexed citations

Yoshida, Mayumi, Keiya Yumimoto, Takashi M. Nagao, et al.. (2020). Retrieval of Aerosol Combined with Assimilated Forecast. 2 indexed citations

Dai, Tie, Yueming Cheng, Kentaroh Suzuki, et al.. (2019). Hourly Aerosol Assimilation of Himawari‐8 AOT Using the Four‐Dimensional Local Ensemble Transform Kalman Filter. Journal of Advances in Modeling Earth Systems. 11(3). 680–711. 35 indexed citations

Dai, Tie, Yueming Cheng, Daisuke Goto, et al.. (2019). Inverting the East Asian Dust Emission Fluxes Using the Ensemble Kalman Smoother and Himawari-8 AODs: A Case Study with WRF-Chem v3.5.1. Atmosphere. 10(9). 543–543. 6 indexed citations

Yoshida, Mayumi, et al.. (2018). Common Retrieval of Aerosol Properties for Imaging Satellite Sensors. Journal of the Meteorological Society of Japan Ser II. 96B(0). 193–209. 139 indexed citations

10.

Yumimoto, Keiya, Taichu Y. Tanaka, Mayumi Yoshida, et al.. (2018). Assimilation and Forecasting Experiment for Heavy Siberian Wildfire Smoke in May 2016 with Himawari-8 Aerosol Optical Thickness. Journal of the Meteorological Society of Japan Ser II. 96B(0). 133–149. 21 indexed citations

11.

Letu, Husi, Takashi M. Nagao, Takashi Y. Nakajima, et al.. (2018). Ice Cloud Properties From Himawari-8/AHI Next-Generation Geostationary Satellite: Capability of the AHI to Monitor the DC Cloud Generation Process. IEEE Transactions on Geoscience and Remote Sensing. 57(6). 3229–3239. 138 indexed citations

12.

Kikuchi, Maki, Hiroshi Murakami, Kentaroh Suzuki, Takashi M. Nagao, & Akiko Higurashi. (2018). Improved Hourly Estimates of Aerosol Optical Thickness Using Spatiotemporal Variability Derived From Himawari-8 Geostationary Satellite. IEEE Transactions on Geoscience and Remote Sensing. 56(6). 3442–3455. 114 indexed citations

13.

Goto, Daisuke, Maki Kikuchi, Kentaroh Suzuki, et al.. (2018). Aerosol model evaluation using two geostationary satellites over East Asia in May 2016. Atmospheric Research. 217. 93–113. 14 indexed citations

14.

Kikuchi, Maki & Kentaroh Suzuki. (2018). Characterizing Vertical Particle Structure of Precipitating Cloud System From Multiplatform Measurements of A‐Train Constellation. Geophysical Research Letters. 46(2). 1040–1048. 12 indexed citations

15.

Irie, Hitoshi, Alessandro Damiani, Takashi Y. Nakajima, et al.. (2017). Importance of Himawari-8 Aerosol Products for Energy Management System. 32(2). 95–100. 7 indexed citations

16.

Kikuchi, Maki, Hajime Okamoto, Kaori Sato, & Yuichiro Hagihara. (2017). Testing hydrometeor particle type discrimination derived from CloudSat and CALIPSO. AIP conference proceedings. 1810. 70005–70005. 1 indexed citations

17.

Kikuchi, Maki, Hajime Okamoto, Kaori Sato, et al.. (2017). Development of Algorithm for Discriminating Hydrometeor Particle Types With a Synergistic Use of CloudSat and CALIPSO. Journal of Geophysical Research Atmospheres. 122(20). 11022–11044. 17 indexed citations

18.

Sekiyama, Tsuyoshi Thomas, Keiya Yumimoto, Taichu Y. Tanaka, et al.. (2016). Data Assimilation of Himawari-8 Aerosol Observations: Asian Dust Forecast in June 2015. SOLA. 12(0). 86–90. 25 indexed citations

19.

Yumimoto, Keiya, Takashi M. Nagao, Maki Kikuchi, et al.. (2016). Aerosol data assimilation using data from Himawari‐8, a next‐generation geostationary meteorological satellite. Geophysical Research Letters. 43(11). 5886–5894. 108 indexed citations

20.

Yumimoto, Keiya, Taichu Y. Tanaka, Tsuyoshi Thomas Sekiyama, et al.. (2015). Development of a Forecasting and Data Assimilation System for Asian Dust in the Japan Meteorological Agency (JMA). AGU Fall Meeting Abstracts. 2015. 3 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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