Jun Magome

3.4k total citations · 1 hit paper
57 papers, 2.3k citations indexed

About

Jun Magome is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Jun Magome has authored 57 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Water Science and Technology, 44 papers in Global and Planetary Change and 9 papers in Atmospheric Science. Recurrent topics in Jun Magome's work include Hydrology and Watershed Management Studies (41 papers), Flood Risk Assessment and Management (37 papers) and Hydrology and Drought Analysis (15 papers). Jun Magome is often cited by papers focused on Hydrology and Watershed Management Studies (41 papers), Flood Risk Assessment and Management (37 papers) and Hydrology and Drought Analysis (15 papers). Jun Magome collaborates with scholars based in Japan, Sri Lanka and China. Jun Magome's co-authors include Marcel Endejan, Bernhard Lehner, Karen Frenken, Raimund Rödel, Petra Döll, Charles J Vörösmarty, B M Fekete, Carmen Revenga, Catherine Reidy Liermann and Christer Nilsson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Journal of Hydrology.

In The Last Decade

Jun Magome

52 papers receiving 2.2k citations

Hit Papers

High‐resolution mapping of the world's reservoirs and dam... 2011 2026 2016 2021 2011 500 1000 1.5k
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.

  1. High‐resolution mapping of the world's reservoirs and dams for sustainable river‐flow management
    2011 1.7k citations Bernhard Lehner, Catherine Reidy Liermann et al. Frontiers in Ecology and the Environment profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Magome Japan 12 1.4k 1.3k 506 374 357 57 2.3k
Sarah E. Null United States 23 1.0k 0.7× 780 0.6× 553 1.1× 562 1.5× 331 0.9× 74 2.0k
Karen Frenken Sweden 5 1.0k 0.7× 792 0.6× 475 0.9× 358 1.0× 364 1.0× 5 1.8k
Nikolai Sindorf United States 4 1.0k 0.7× 809 0.6× 543 1.1× 449 1.2× 336 0.9× 6 1.8k
Marcel Endejan Germany 3 1.0k 0.7× 803 0.6× 479 0.9× 358 1.0× 329 0.9× 5 1.8k
Philippe Crouzet Denmark 6 1.1k 0.7× 805 0.6× 558 1.1× 438 1.2× 316 0.9× 9 1.9k
Raimund Rödel Germany 3 972 0.7× 763 0.6× 463 0.9× 357 1.0× 312 0.9× 5 1.7k
Rosi Siber Switzerland 9 1.7k 1.2× 1.1k 0.8× 361 0.7× 296 0.8× 211 0.6× 13 2.2k
Xijun Lai China 23 1.2k 0.8× 942 0.7× 528 1.0× 207 0.6× 102 0.3× 90 1.9k
Peter V. Caldwell United States 28 1.4k 1.0× 1.5k 1.2× 417 0.8× 306 0.8× 400 1.1× 85 2.5k
R. Edward Beighley United States 29 1.6k 1.1× 1.7k 1.3× 915 1.8× 325 0.9× 114 0.3× 95 2.9k

Countries citing papers authored by Jun Magome

Since Specialization
Citations

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

Fields of papers citing papers by Jun Magome

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Magome

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Magome. A scholar is included among the top collaborators of Jun Magome 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 Jun Magome. Jun Magome 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.
Aryal, Anil, et al.. (2025). Evaluating the extreme precipitation indices and their impacts in the Volta River Basin in West Africa from a nexus perspective. RePEc: Research Papers in Economics. 33(1). 2 indexed citations
2.
Ishidaira, Hiroshi, et al.. (2024). Assessing future intra-basin water availability in madagascar: Accounting for climate change, population growth, and land use change. Water Research. 257. 121711–121711. 9 indexed citations
3.
Magome, Jun, et al.. (2024). Integrated assessment of the impacts of climate and land-use changes on future flooding and effective adaptation in the Gin River Basin, Sri Lanka. Journal of Hydrology Regional Studies. 55. 101919–101919. 2 indexed citations
4.
Magome, Jun, et al.. (2023). Catchment-Scale Land Use and Land Cover Change Analysis in Two Coastal Ramsar Sites in Ghana, Using Remote Sensing. Water. 15(20). 3568–3568. 6 indexed citations
5.
Ishidaira, Hiroshi, et al.. (2023). ANALYSIS OF FLOOD-POVERTY RELATIONSHIP IN BURKINA FASO USING REMOTELY SENSED NIGHTTIME LIGHT. Journal of JSCE. 11(2). n/a–n/a. 2 indexed citations
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Ishidaira, Hiroshi, et al.. (2022). The Effect of Incorporation of Embankment Information for Flood Simulation of the Gin River, Sri Lanka. Journal of Disaster Research. 17(3). 475–486. 4 indexed citations
8.
Shrestha, Badri Bhakta, Duminda Perera, Mamoru Miyamoto, et al.. (2019). Assessing flood disaster impacts in agriculture under climate change in the river basins of Southeast Asia. Natural Hazards. 97(1). 157–192. 41 indexed citations
9.
Shrestha, Sadhana, Takashi Nakamura, Jun Magome, et al.. (2018). Groundwater use and diarrhoea in urban Nepal: novel application of a geostatistical interpolation technique linking environmental and epidemiologic survey data. International Health. 10(5). 324–332. 5 indexed citations
10.
Magome, Jun, et al.. (2017). Morphometric analysis of polygonal cracking patterns in desiccated starch slurries. Physical review. E. 96(2). 23003–23003. 8 indexed citations
11.
Gusyev, Maksym, et al.. (2016). Evaluation of Water Cycle Components with Standardized Indices Under Climate Change in the Pampanga, Solo and Chao Phraya Basins. Journal of Disaster Research. 11(6). 1091–1102. 6 indexed citations
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Ishidaira, Hiroshi, et al.. (2015). Spatial-statistical Approach to Evaluate Land Use Change in Galle DSD, Sri Lanka. Research Journal of Applied Sciences Engineering and Technology. 11(10). 1041–1047. 3 indexed citations
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Lehner, Bernhard, Catherine Reidy Liermann, Carmen Revenga, et al.. (2011). High‐resolution mapping of the world's reservoirs and dams for sustainable river‐flow management. Frontiers in Ecology and the Environment. 9(9). 494–502. 1651 indexed citations breakdown →
18.
Masutani, K. & Jun Magome. (2009). An Application of Modified Muskingum-Cunge Routing Method with Water Conservation Condition to a Distributed Runoff Model. JOURNAL OF JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES. 22(4). 294–300. 5 indexed citations
19.
Masutani, K. & Jun Magome. (2008). Effects of the Novel Scaling Algorithm of River Networks on Discharge Simulations. JOURNAL OF JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES. 21(3). 242–247. 5 indexed citations
20.
Magome, Jun, Kuniyoshi Takeuchi, & Hiroshi Ishidaira. (2002). ESTIMATING WATER STORAGE IN RESERVOIRS BY SATELLITE OBSERVATIONS AND DIGITAL ELEVATION MODEL : A CASE STUDY OF THE YAGISAWA RESERVOIR. 20(1). 49–57. 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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