Hideyasu Shimadzu

2.8k total citations · 1 hit paper
27 papers, 1.6k citations indexed

About

Hideyasu Shimadzu is a scholar working on Nature and Landscape Conservation, Ecology and Ecological Modeling. According to data from OpenAlex, Hideyasu Shimadzu has authored 27 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nature and Landscape Conservation, 12 papers in Ecology and 9 papers in Ecological Modeling. Recurrent topics in Hideyasu Shimadzu's work include Species Distribution and Climate Change (9 papers), Ecology and Vegetation Dynamics Studies (9 papers) and Plant and animal studies (6 papers). Hideyasu Shimadzu is often cited by papers focused on Species Distribution and Climate Change (9 papers), Ecology and Vegetation Dynamics Studies (9 papers) and Plant and animal studies (6 papers). Hideyasu Shimadzu collaborates with scholars based in United Kingdom, Japan and United States. Hideyasu Shimadzu's co-authors include María Dornelas, Anne E. Magurran, Faye Moyes, Nicholas J. Gotelli, Brian J. McGill, Caya Sievers, Peter A. Henderson, Indar W. Ramnarine, Amy E. Deacon and Ross Darnell and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Hideyasu Shimadzu

27 papers receiving 1.6k citations

Hit Papers

Assemblage Time Series Reveal Biodiversity Change but Not... 2014 2026 2018 2022 2014 250 500 750

Peers

Hideyasu Shimadzu
Edd Hammill United States
Glenn Manion Australia
Hans Schmid Switzerland
Bruce A. Stein United States
John P. Haskell United States
Hideyasu Shimadzu
Citations per year, relative to Hideyasu Shimadzu Hideyasu Shimadzu (= 1×) peers Kévin Cazelles

Countries citing papers authored by Hideyasu Shimadzu

Since Specialization
Citations

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

Fields of papers citing papers by Hideyasu Shimadzu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideyasu Shimadzu

This figure shows the co-authorship network connecting the top 25 collaborators of Hideyasu Shimadzu. A scholar is included among the top collaborators of Hideyasu Shimadzu 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 Hideyasu Shimadzu. Hideyasu Shimadzu 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.
Nakamura, Ryota, Hideyasu Shimadzu, Nguyễn Văn Huy, et al.. (2025). Progress and inequality in child immunization in 38 African countries, 2000–2030: A spatio-temporal Bayesian analysis at national and sub-national levels. PLoS Medicine. 22(7). e1004664–e1004664. 1 indexed citations
2.
Xu, Wubing, Shane A. Blowes, Viviana Brambilla, et al.. (2023). Regional occupancy increases for widespread species but decreases for narrowly distributed species in metacommunity time series. Nature Communications. 14(1). 1463–1463. 34 indexed citations
3.
Pascoal, Sónia, Hideyasu Shimadzu, Rahia Mashoodh, & Rebecca M. Kilner. (2023). Parental care results in a greater mutation load, for which it is also a phenotypic antidote. Proceedings of the Royal Society B Biological Sciences. 290(1999). 20230115–20230115. 5 indexed citations
4.
Blowes, Shane A., Gergana N. Daskalova, María Dornelas, et al.. (2022). Local biodiversity change reflects interactions among changing abundance, evenness, and richness. Ecology. 103(12). e3820–e3820. 49 indexed citations
5.
Gotelli, Nicholas J., Faye Moyes, Laura H. Antão, et al.. (2021). Long‐term changes in temperate marine fish assemblages are driven by a small subset of species. Global Change Biology. 28(1). 46–53. 19 indexed citations
6.
Shimadzu, Hideyasu & Hui‐Yu Wang. (2021). Estimating allometric energy allocation between somatic and gonadic growth. Methods in Ecology and Evolution. 13(2). 407–418. 2 indexed citations
7.
Takahashi, Kunihiko & Hideyasu Shimadzu. (2020). Detecting multiple spatial disease clusters: information criterion and scan statistic approach. International Journal of Health Geographics. 19(1). 33–33. 9 indexed citations
8.
Ładosz, Paweł, Hideyasu Shimadzu, Peter Kinnell, et al.. (2020). Detecting Changes and Avoiding Catastrophic Forgetting in Dynamic Partially Observable Environments. Frontiers in Neurorobotics. 14. 578675–578675. 6 indexed citations
9.
Shimadzu, Hideyasu. (2018). On species richness and rarefaction: size- and coverage-based techniques quantify different characteristics of richness change in biodiversity. Journal of Mathematical Biology. 77(5). 1363–1381. 21 indexed citations
10.
Magurran, Anne E., Amy E. Deacon, Faye Moyes, et al.. (2018). Divergent biodiversity change within ecosystems. Proceedings of the National Academy of Sciences. 115(8). 1843–1847. 68 indexed citations
11.
Takahashi, Kunihiko & Hideyasu Shimadzu. (2018). Multiple-cluster detection test for purely temporal disease clustering: Integration of scan statistics and generalized linear models. PLoS ONE. 13(11). e0207821–e0207821. 6 indexed citations
12.
Vellend, Mark, María Dornelas, Lander Baeten, et al.. (2016). Estimates of local biodiversity change over time stand up to scrutiny. Ecology. 98(2). 583–590. 88 indexed citations
13.
Hill, Nicholas, et al.. (2015). Spillover Effects of a Community-Managed Marine Reserve. PLoS ONE. 10(4). e0111774–e0111774. 44 indexed citations
14.
Takahashi, Kunihiko & Hideyasu Shimadzu. (2015). The daily incidence of out-of-hospital cardiac arrest unexpectedly increases around New Year's Day in Japan. Resuscitation. 96. 156–162. 8 indexed citations
15.
Shimadzu, Hideyasu, María Dornelas, & Anne E. Magurran. (2015). Measuring temporal turnover in ecological communities. Methods in Ecology and Evolution. 6(12). 1384–1394. 71 indexed citations
16.
Dornelas, María, Nicholas J. Gotelli, Brian J. McGill, et al.. (2014). Assemblage Time Series Reveal Biodiversity Change but Not Systematic Loss. Science. 344(6181). 296–299. 913 indexed citations breakdown →
17.
Shimadzu, Hideyasu, et al.. (2014). Modelling temperature effects on milk production: a study on Holstein cows at a Japanese farm. SpringerPlus. 3(1). 129–129. 36 indexed citations
18.
Shimadzu, Hideyasu, María Dornelas, Peter A. Henderson, & Anne E. Magurran. (2013). Diversity is maintained by seasonal variation in species abundance. BMC Biology. 11(1). 98–98. 82 indexed citations
19.
Foster, Scott D., Hideyasu Shimadzu, & Ross Darnell. (2012). Uncertainty in Spatially Predicted Covariates: Is it Ignorable?. Journal of the Royal Statistical Society Series C (Applied Statistics). 61(4). 637–652. 27 indexed citations
20.
Shimadzu, Hideyasu, Ritei Shibata, & Yuji Ohgi. (2007). Modelling swimmers’ speeds over the course of a race. Journal of Biomechanics. 41(3). 549–555. 13 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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