Takeshi Ise

3.4k citations

32 papers · 2.1k indexed · 1 hit paper · h-index 15

Co-authors: P. R. Moorcroft Masanori Onishi Hisashi Sato Allison L. Dunn Steven C. Wofsy Etsushi Kato Tomohiro Hajima Michio Kawamiya
Topics: Remote Sensing in Agriculture (8 papers)Plant Water Relations and Carbon Dynamics (8 papers)Climate variability and models (6 papers)
Cited by: Ecological Modeling Global and Planetary Change Atmospheric Science
Journals: Journal of Geophysical Research Atmospheres Scientific Reports Geophysical Research Letters
Partner nations: Japan United States

In The Last Decade

Takeshi Ise

32 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MIROC-ESM 2010: model description and basic results of CMIP5-20c3m experiments

2011 1.1k citations Shingo Watanabe, Tomohiro Hajima et al. Geoscientific model development profile →

Peers

Countries citing papers authored by Takeshi Ise

Since Specialization

Citations

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

Fields of papers citing papers by Takeshi Ise

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Ise

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

#	Work	Indexed citations
1	Social factors of urban greening: Demographics, zoning, and social capital 2024 ·City and Environment Interactions ·(unknown),(unknown),Takeshi Ise,Hidetoshi Matsui,Yukiko Uchida	1
2	Identification of hybrids between the Japanese giant salamander (Andrias japonicus) and Chinese giant salamander (Andrias cf. davidianus) using deep learning and smartphone images 2023 ·Ecology and Evolution ·(unknown),Yuki Taguchi,Takeshi Ise	2
3	Individual identification of endangered amphibians using deep learning and smartphone images: case study of the Japanese giant salamander (Andrias japonicus) 2023 ·Scientific Reports ·(unknown),Yuki Taguchi,Takeshi Ise	1
4	Predicting global terrestrial biomes with the LeNet convolutional neural network 2022 ·Geoscientific model development ·Hisashi Sato,Takeshi Ise	10
5	Temporal trends and spatial distribution of research topics in anthropogenic marine debris study: Topic modelling using latent Dirichlet allocation 2022 ·Marine Pollution Bulletin ·(unknown),(unknown),Takeshi Ise	16
6	Practicality and Robustness of Tree Species Identification Using UAV RGB Image and Deep Learning in Temperate Forest in Japan 2022 ·Remote Sensing ·Masanori Onishi,(unknown),(unknown),Takeshi Ise	23
7	CORRESPONDENCE BETWEEN FEELINGS TOWARDS NEIGHBORS AND APPEARANCE OF NEIGHBORHOOD: ANALYSIS BY COMBINING A MAIL SURVEY AND GOOGLE STREET VIEW 2022 ·PSYCHOLOGIA ·(unknown),Takeshi Ise,(unknown),Hidefumi Hitokoto,Kosuke Takemura,Yukiko Uchida	2
8	Explainable identification and mapping of trees using UAV RGB image and deep learning 2021 ·Scientific Reports ·Masanori Onishi,Takeshi Ise	174
9	The changing carbon balance of tundra ecosystems: results from a vertically-resolved peatland biosphere model 2021 ·Environmental Research Letters ·(unknown),Luke D. Schiferl,R. Commane,J. William Munger,Anna T. Trugman,Takeshi Ise,E. S. Euskirchen,S. C. Wofsy,(unknown)	8
10	Identifying the vegetation type in Google Earth images using a convolutional neural network: a case study for Japanese bamboo forests 2020 ·BMC Ecology ·(unknown),(unknown),Takeshi Ise	28
11	VARENN: graphical representation of periodic data and application to climate studies 2020 ·npj Climate and Atmospheric Science ·Takeshi Ise,(unknown)	3
12	Explainable Deep Learning Reproduces a ‘Professional Eye’ on the Diagnosis of Internal Disorders in Persimmon Fruit 2020 ·Plant and Cell Physiology ·Takashi Akagi,Masanori Onishi,Kanae Masuda,(unknown),(unknown),(unknown),Tetsuya Suzuki,(unknown),Seiichi Uchida,Takeshi Ise	15
13	Forecasting Climatic Trends Using Neural Networks: An Experimental Study Using Global Historical Data 2019 ·Frontiers in Robotics and AI ·Takeshi Ise,(unknown)	26
14	Non-Gaussian data assimilation of satellite-based leaf area index observations with an individual-based dynamic global vegetation model 2017 ·Nonlinear processes in geophysics ·(unknown),Takemasa Miyoshi,Takeshi Ise,Shin‐ichiro Shima,Shunji Kotsuki	4
15	The GRENE-TEA model intercomparison project (GTMIP) Stage 1 forcing data set 2016 ·Earth system science data ·(unknown),Kazuyuki Saitô,Shin Miyazaki,(unknown),Takeshi Ise,(unknown),Rikie Suzuki,Atsushi Sato,Yoshihiro Iijima,Hironori Yabuki,Hiroki Ikawa,Takeshi Ohta,Ayumi Kotani,T. Hajima,Hisashi Sato,Takeshi Yamazaki,Atsuko Sugimoto	8
16	Data assimilation experiments with simulated LAI observations and the dynamic global vegetation model SEIB-DGVM 2015 ·Japan Geoscience Union ·(unknown),Takemasa Miyoshi,Takeshi Ise,Shin‐ichiro Shima	1
17	Climate Change, Allowable Emission, and Earth System Response to Representative Concentration Pathway Scenarios 2012 ·Journal of the Meteorological Society of Japan Ser II ·Tomohiro Hajima,Takeshi Ise,Kaoru Tachiiri,Etsushi Kato,Shingo Watanabe,Michio Kawamiya	12
18	The effect of the feedback cycle between the soil organic carbon and the soil hydrologic and thermal dynamics 2012 ·Open Journal of Ecology ·(unknown),Takeshi Ise,Miyuki Kondo,Yongwon Kim,(unknown)	1
19	MIROC-ESM 2010: model description and basic results of CMIP5-20c3m experimentsbreakdown → 2011 ·Geoscientific model development ·Shingo Watanabe,Tomohiro Hajima,Kengo Sudo,Tatsuya Nagashima,Toshihiko Takemura,Hideki Okajima,Takashi Nozawa,Hiroaki Kawase,Manabu Abe,Tokuta Yokohata,Takeshi Ise,Hisashi Sato,Etsushi Kato,Kumiko Takata,Seita Emori,Michio Kawamiya	1078
20	Comparison of modeling approaches for carbon partitioning: Impact on estimates of global net primary production and equilibrium biomass of woody vegetation from MODIS GPP 2010 ·Journal of Geophysical Research Atmospheres ·Takeshi Ise,Creighton M. Litton,Christian P. Giardina,Akihiko Ito	72

About Takeshi Ise

Takeshi Ise is a scholar working on Ecological Modeling, Global and Planetary Change and Atmospheric Science, having authored 32 papers that have together received 2.1k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (8 papers), Plant Water Relations and Carbon Dynamics (8 papers) and Climate variability and models (6 papers). The work is most often cited by research in Ecological Modeling (238 citations), Global and Planetary Change (1.1k citations) and Atmospheric Science (840 citations). Takeshi Ise has collaborated with scholars based in Japan and United States. Frequent co-authors include P. R. Moorcroft, Masanori Onishi, Hisashi Sato, Allison L. Dunn, Steven C. Wofsy, Etsushi Kato, Tomohiro Hajima, Michio Kawamiya, Shingo Watanabe and Tatsuya Nagashima. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Geophysical Research Letters.

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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