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.
Quantifying the cool island intensity of urban parks using ASTER and IKONOS data
2010538 citationsXin Cao, Akio Onishi et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Hidefumi Imura
Since
Specialization
Citations
This map shows the geographic impact of Hidefumi Imura'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 Hidefumi Imura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidefumi Imura more than expected).
This network shows the impact of papers produced by Hidefumi Imura. 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 Hidefumi Imura. The network helps show where Hidefumi Imura may publish in the future.
Co-authorship network of co-authors of Hidefumi Imura
This figure shows the co-authorship network connecting the top 25 collaborators of Hidefumi Imura.
A scholar is included among the top collaborators of Hidefumi Imura 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 Hidefumi Imura. Hidefumi Imura 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
1.
Imura, Hidefumi, et al.. (2018). A Strategic Partnership in Implementing Waste-to-Energy (WTE) Technology in Penang, Malaysia. Academy of strategic management journal. 17(6).1 indexed citations
Tabata, Tomohiro, et al.. (2009). Life-cycle evaluation of municipal solid waste management system by considering renewal and maintenance patterns of treatment facilities. 37(5). 73–82.1 indexed citations
Onishi, Akio, et al.. (2007). Socio-economic Activities and the Balance between Water Resource Supply and Demand in the Yellow River Basin, China. Tunnelling and Underground Space Technology. 18(1). 29–29.3 indexed citations
11.
Imura, Hidefumi, Takashi Toyoda, & Jin Chen. (1999). AN EMPIRICAL ANALYSIS AND FORECASTING OF GRAIN PRODUCTION IN CHINA. 5. 37–55.1 indexed citations
12.
Matsumoto, Toru & Hidefumi Imura. (1998). FOREIGN-AFFILIATED FIRMS AND ENVIRONMENTAL PROBLEMS IN CHINA : ENVIRONMENTAL IMPLICATIONS OF FOREIGN DIRECT INVESTMENT. 4. 151–167.1 indexed citations
13.
Imura, Hidefumi, et al.. (1998). The relationships between regional industrial structure and environment loading in China. 4. 31–51.
Kaneko, Shinji & Hidefumi Imura. (1997). LONG-TERM PERSPECTIVE ON POPULATION AND FOOD SUPPLY AND DEMAND IN ASIA BASED ON EMPIRICAL EQUATIONS AND BaU SCENARIOS. 3. 99–119.1 indexed citations
Imura, Hidefumi, et al.. (1995). ECONOMIC DEVELOPMENT, ENERGY, AND ENVIRONMENT IN EAST ASIA : A COMPARATIVE STUDY OF JAPAN, SOUTH KOREA, AND CHINA. 1. 79–100.
19.
Imura, Hidefumi, et al.. (1994). Study on the Environmental Awareness and Behaviors of Mothers and Their Influence on the Environmental Attitude Formation of Children. 4(1). 8–18.1 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.