Chieko Umetsu

27 papers receiving 301 citations

Peers

Chieko Umetsu
Comparison fields: 5 of 66
  • General Agricultural and Biological Sciences 56
  • Management Science and Operations Research 66
  • Ocean Engineering 65
  • Soil Science 37
  • Global and Planetary Change 75
Replace Marcelo Torres with:
Marcelo Torres Brazil
Dongdong Chen China
Ruth Dittrich United States
Paloma Esteve Spain
Chiedza Gwata United States
Nazmul Huq Germany
Benjamin Kofi Nyarko Ghana
Huafu Zhao China
Kate Lonsdale United Kingdom
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Citations per year

Countries citing papers authored by Chieko Umetsu

Since Specialization
Citations

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

Fields of papers citing papers by Chieko Umetsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Chieko Umetsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chieko Umetsu Line = papers co-authored together Chieko Umetsu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200362
2 200345
3 200939
4 200929
5 201420
6 200719
7 202119
8 202118
9 202214
10 200810
11 201910
12
Valuating the economic impacts of urban environmental problems : Asian cities
199710
13
Vulnerability and Resilience of Social-Ecological Systems
20066
14 19986
15 20235
16 20143
17 20002
18 20182
19 19982
20
The Efficiency of WUA Management in the Lower Seyhan Irrigation Project
20061

About Chieko Umetsu

Chieko Umetsu is a scholar working on General Agricultural and Biological Sciences, Soil Science, Ocean Engineering, Management Science and Operations Research and Ecology, Evolution, Behavior and Systematics, having authored 30 papers that have together received 329 indexed citations. Recurring topics across this work include Water resources management and optimization (8 papers), Agricultural Innovations and Practices (7 papers), Efficiency Analysis Using DEA (5 papers), Water-Energy-Food Nexus Studies (4 papers), Agricultural Systems and Practices (4 papers), Land Rights and Reforms (3 papers), Irrigation Practices and Water Management (3 papers) and Climate change impacts on agriculture (3 papers). The work is most often cited by research in General Agricultural and Biological Sciences (56 citations), Management Science and Operations Research (66 citations), Ocean Engineering (65 citations), Soil Science (37 citations) and Global and Planetary Change (75 citations). Chieko Umetsu has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Ujjayant Chakravorty, Takashi Kume, Akiyo Yatagai, Vellingiri Geethalakshmi, Shoko Sakai, K. Palanisami, Le Canh Dung, Ken Miura, Takayuki Miyanishi and David Zilberman. Their work appears in journals such as Agricultural Economics, Australian Journal of Agricultural and Resource Economics, Journal of Economic Dynamics and Control, Applied Economic Perspectives and Policy and Agriculture Ecosystems & Environment.

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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