Tomoko Nitta

2.3k total citations
23 papers, 426 citations indexed

About

Tomoko Nitta is a scholar working on Atmospheric Science, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Tomoko Nitta has authored 23 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atmospheric Science, 11 papers in Global and Planetary Change and 10 papers in Water Science and Technology. Recurrent topics in Tomoko Nitta's work include Climate change and permafrost (8 papers), Hydrology and Watershed Management Studies (8 papers) and Climate variability and models (7 papers). Tomoko Nitta is often cited by papers focused on Climate change and permafrost (8 papers), Hydrology and Watershed Management Studies (8 papers) and Climate variability and models (7 papers). Tomoko Nitta collaborates with scholars based in Japan, United States and United Kingdom. Tomoko Nitta's co-authors include Hiromu Takamatsu, Munekazu Iinuma, Kei Yoshimura, Tetsuro Ito, Yuka Inatomi, Tsutomu Nakanishi, Fujio Asai, Kazuhito Watabe, Takashi Arai and Toshiyuki Tanaka and has published in prestigious journals such as Journal of Climate, Water Resources Research and Journal of Hydrology.

In The Last Decade

Tomoko Nitta

21 papers receiving 379 citations

Peers

Tomoko Nitta

GPC

B. Diop France

Dragan Radnović Serbia

G.J. Zheng Hong Kong

Federico Cozzi Denmark

Jean‐Luc Giraudel France

Elisa Scalabrin Italy

M. Ouédraogo Burkina Faso

Jian Cui China

S. Palanichamy India

Jihad Attieh Lebanon

B. Diop France

Tomoko Nitta

189 ×1.1

127 ×0.8

GPC

50 ×0.5

51 ×0.6

17 ×0.3

Citations per year, relative to Tomoko Nitta Tomoko Nitta (= 1×) peers B. Diop

Countries citing papers authored by Tomoko Nitta

Since Specialization

Citations

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

Fields of papers citing papers by Tomoko Nitta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Nitta

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Nitta. A scholar is included among the top collaborators of Tomoko Nitta 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 Tomoko Nitta. Tomoko Nitta 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

Li, Shuping, Dai Yamazaki, Tomoko Nitta, et al.. (2025). Resolving Land Cover Heterogeneity Along Hillslope Improves Simulation of Terrestrial Water and Energy Budgets. Water Resources Research. 61(9).

Yamazaki, Dai, et al.. (2024). REPRESENT HILL–VALLEY MOISTURE CONTRAST BY LAND SURFACE MODEL WITH LATERAL SUBSURFACE FLOW. Journal of JSCE. 12(1). n/a–n/a. 1 indexed citations

Olson, Roman, Tomoko Nitta, & Kei Yoshimura. (2024). A fast physically-guided emulator of MATSIRO land surface model. Journal of Hydrology. 634. 131093–131093.

Nitta, Tomoko, et al.. (2024). Saving coral reefs: significance and biotechnological approaches for coral conservation. PubMed. 2(4). 42–42. 1 indexed citations

Yoshimura, Kei, et al.. (2024). Sensitivity of the Northern Hemisphere Warming Trend to Snowpack Variability. Journal of Climate. 37(22). 5751–5768. 1 indexed citations

Kodama, Chihiro, Tomoki Ohno, Tatsuya Seiki, et al.. (2021). The Nonhydrostatic ICosahedral Atmospheric Model for CMIP6 HighResMIP simulations (NICAM16-S): experimental design, model description, and impacts of model updates. Geoscientific model development. 14(2). 795–820. 39 indexed citations

Yokohata, Tokuta, Tsuguki Kinoshita, Gen Sakurai, et al.. (2020). MIROC-INTEG-LAND version 1: a global biogeochemical land surface model with human water management, crop growth, and land-use change. Geoscientific model development. 13(10). 4713–4747. 27 indexed citations

Kodama, Chihiro, Tomoki Ohno, Tatsuya Seiki, et al.. (2020). The non-hydrostatic global atmospheric model for CMIP6 HighResMIP simulations (NICAM16-S): Experimental design, model description, and sensitivity experiments. 9 indexed citations

Yokohata, Tokuta, Kazuyuki Saitô, Kumiko Takata, et al.. (2020). Model improvement and future projection of permafrost processes in a global land surface model. Progress in Earth and Planetary Science. 7(1). 69–69. 27 indexed citations

10.

Yokohata, Tokuta, Tsuguki Kinoshita, Gen Sakurai, et al.. (2019). MIROC-INTEG1: A global bio-geochemical land surface model with human water management, crop growth, and land-use change. 6 indexed citations

11.

Yoshimura, Kei, et al.. (2018). IMPACT OF SHORT-LIVED CLIMATE POLLUTANTS ON TERRESTRIAL WATER CIRCULATION. Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering). 74(4). I_217–I_222. 1 indexed citations

12.

Hirsch, Annette L., Benoît P. Guillod, Sonia I. Seneviratne, et al.. (2018). Biogeophysical Impacts of Land‐Use Change on Climate Extremes in Low‐Emission Scenarios: Results From HAPPI‐Land. Earth s Future. 6(3). 396–409. 35 indexed citations

13.

Nitta, Tomoko, Kei Yoshimura, & Ayako Abe‐Ouchi. (2017). Impact of Arctic Wetlands on the Climate System: Model Sensitivity Simulations with the MIROC5 AGCM and a Snow-Fed Wetland Scheme. Journal of Hydrometeorology. 18(11). 2923–2936. 15 indexed citations

14.

Nitta, Tomoko, Kei Yoshimura, & Ayako Abe‐Ouchi. (2015). A SENSITIVITY STUDY OF A SIMPLE WETLAND SCHEME FOR IMPROVEMENTS IN THE REPRESENTATION OF SURFACE HYDROLOGY AND DECREASE OF SURFACE AIR TEMPERATURE BIAS. Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering). 71(4). I_955–I_960. 2 indexed citations

15.

Nitta, Tomoko, Kei Yoshimura, Kumiko Takata, et al.. (2014). Representing Variability in Subgrid Snow Cover and Snow Depth in a Global Land Model: Offline Validation. Journal of Climate. 27(9). 3318–3330. 48 indexed citations

16.

Nitta, Tomoko, Kei Yoshimura, Kumiko Takata, et al.. (2012). REPRESENTATION OF SUBGRID SCALE SNOW COVER AND SNOW DEPTH VARIABILITIES IN A GLOBAL LAND MODEL. Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering). 68(4). I_325–I_330. 2 indexed citations

17.

Tsujiyama, Sho‐ichi, Tomoko Nitta, & Takashi Maoka. (2011). Biodegradation of polyvinyl alcohol by Flammulina velutipes in an unsubmerged culture. Journal of Bioscience and Bioengineering. 112(1). 58–62. 20 indexed citations

18.

Nitta, Tomoko, Kei Yoshimura, Shinjiro Kanae, & Taikan Oki. (2010). Change of flood risk under climate change based on Discharge Probability Index in Japan. AGU Fall Meeting Abstracts. 2010. 1 indexed citations

19.

Nitta, Tomoko, et al.. (2008). DETAILED ANALYSIS ON THE VIRTUAL WATER IMPORT TO JAPAN FOCUSING ON THE ORIGIN OF WATER SUPPLY. PROCEEDINGS OF HYDRAULIC ENGINEERING. 52. 367–372. 2 indexed citations

20.

Utsumi, Nobuyuki, Shinjiro Kanae, Hyungjun Kim, et al.. (2008). Importance of wind-induced undercatch adjustment in a gauge-based analysis of daily precipitation over Japan. Hydrological Research Letters. 2. 47–51. 7 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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