Taro Mieno

917 total citations
43 papers, 614 citations indexed

About

Taro Mieno is a scholar working on Economics and Econometrics, Soil Science and Ocean Engineering. According to data from OpenAlex, Taro Mieno has authored 43 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Economics and Econometrics, 14 papers in Soil Science and 13 papers in Ocean Engineering. Recurrent topics in Taro Mieno's work include Water resources management and optimization (12 papers), Economic and Environmental Valuation (10 papers) and Irrigation Practices and Water Management (9 papers). Taro Mieno is often cited by papers focused on Water resources management and optimization (12 papers), Economic and Environmental Valuation (10 papers) and Irrigation Practices and Water Management (9 papers). Taro Mieno collaborates with scholars based in United States, Japan and United Kingdom. Taro Mieno's co-authors include Nicholas Brozović, Timothy Foster, Arne Arnberger, Yasushi Shoji, Tetsuya Aikoh, Renate Eder, David S. Bullock, John B. Braden, Takahiro Kubo and Brenna Ellison and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Resources Research.

In The Last Decade

Taro Mieno

39 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Taro Mieno United States	16	147	137	134	132	114	43	614
Hermine Mitter Austria	19	189 1.3×	100 0.7×	322 2.4×	93 0.7×	125 1.1×	45	934
Dolores Rey United Kingdom	17	251 1.7×	240 1.8×	300 2.2×	86 0.7×	134 1.2×	33	801
Haipeng Niu China	14	63 0.4×	62 0.5×	238 1.8×	103 0.8×	60 0.5×	46	712
Darran King Australia	21	161 1.1×	150 1.1×	482 3.6×	201 1.5×	240 2.1×	31	1.1k
Marta Moneo Spain	5	201 1.4×	149 1.1×	276 2.1×	54 0.4×	138 1.2×	5	773
Portia Adade Williams South Africa	13	91 0.6×	58 0.4×	202 1.5×	49 0.4×	144 1.3×	19	713
Tatiana Borisova United States	13	96 0.7×	142 1.0×	88 0.7×	95 0.7×	43 0.4×	78	490
Ulrike Wood‐Sichra United States	12	113 0.8×	103 0.8×	297 2.2×	108 0.8×	232 2.0×	22	1.0k
Raffaele Cortignani Italy	16	98 0.7×	153 1.1×	103 0.8×	108 0.8×	134 1.2×	34	598
Randall Bruins United States	11	78 0.5×	50 0.4×	163 1.2×	111 0.8×	53 0.5×	18	624

Countries citing papers authored by Taro Mieno

Since Specialization

Citations

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

Fields of papers citing papers by Taro Mieno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taro Mieno

This figure shows the co-authorship network connecting the top 25 collaborators of Taro Mieno. A scholar is included among the top collaborators of Taro Mieno 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 Taro Mieno. Taro Mieno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Puntel, Laila A., Mariano Córdoba, Taro Mieno, et al.. (2025). Site-specific drivers of sensor-based nitrogen management in on-farm corn and wheat experiments. Frontiers in Agronomy. 7.

Kubo, Takahiro, et al.. (2025). Banning Wildlife Trade Can Boost the Unregulated Trade of Threatened Species. Conservation Letters. 18(1). 3 indexed citations

Puntel, Laila A., Laura Thompson, & Taro Mieno. (2024). Leveraging digital agriculture for on-farm testing of technologies. Frontiers in Agronomy. 6. 2 indexed citations

Mieno, Taro, Xiaofei Li, & David S. Bullock. (2024). Bias in economic evaluation of variable rate application based on geographically weighted regression models with misspecified functional form. 3(1). 135–151.

Mieno, Taro, et al.. (2024). Aquifer depletion exacerbates agricultural drought losses in the US High Plains. Nature Water. 2(1). 41–51. 16 indexed citations

Mieno, Taro, et al.. (2023). Predicting site-specific economic optimal nitrogen rate using machine learning methods and on-farm precision experimentation. Precision Agriculture. 24(5). 1792–1812. 17 indexed citations

Gustafson, Christopher R., et al.. (2023). The gendered impacts of index-insurance on food-consumption: Evidence from southern Ethiopia. Climate Services. 30. 100355–100355. 4 indexed citations

Mieno, Taro, et al.. (2022). Causal forest approach for site-specific input management via on-farm precision experimentation. Computers and Electronics in Agriculture. 199. 107164–107164. 14 indexed citations

Archontoulis, Sotirios V., et al.. (2021). Simulated dataset of corn response to nitrogen over thousands of fields and multiple years in Illinois. SHILAP Revista de lepidopterología. 40. 107753–107753. 9 indexed citations

10.

Mieno, Taro, et al.. (2021). The Importance of Well Yield in Groundwater Demand Specifications. Land Economics. 97(3). 672–687. 1 indexed citations

11.

Pittelkow, Cameron M., et al.. (2021). Understanding differences between static and dynamic nitrogen fertilizer tools using simulation modeling. Agricultural Systems. 194. 103275–103275. 15 indexed citations

12.

Kubo, Takahiro, et al.. (2021). What determines the success and failure of environmental crowdfunding?. AMBIO. 50(9). 1659–1669. 17 indexed citations

13.

Bullock, David S., et al.. (2020). The value of conducting on-farm field trials using precision agriculture technology: a theory and simulations. Precision Agriculture. 21(5). 1027–1044. 16 indexed citations

14.

Foster, Timothy, Taro Mieno, & Nicholas Brozović. (2020). Satellite‐Based Monitoring of Irrigation Water Use: Assessing Measurement Errors and Their Implications for Agricultural Water Management Policy. Water Resources Research. 56(11). 119 indexed citations

15.

Mieno, Taro, et al.. (2019). The impact of land cover on groundwater recharge in the High Plains: An application to the Conservation Reserve Program. The Science of The Total Environment. 696. 133871–133871. 24 indexed citations

16.

Bullock, David S. & Taro Mieno. (2019). The economic value of on-farm precision experimentation. 817–823. 2 indexed citations

17.

Mieno, Taro & David S. Bullock. (2017). Getting to Know Your Yield Response Betterthrough Whole-field Randomized Experiments. Insecta mundi. 1 indexed citations

18.

Mieno, Taro & Nicholas Brozović. (2016). Price Elasticity of Groundwater Demand: Attenuation and Amplification Bias Due to Incomplete Information. American Journal of Agricultural Economics. 99(2). 401–426. 25 indexed citations

19.

Arnberger, Arne, Tetsuya Aikoh, Renate Eder, Yasushi Shoji, & Taro Mieno. (2010). How many people should be in the urban forest? A comparison of trail preferences of Vienna and Sapporo forest visitor segments. Urban forestry & urban greening. 9(3). 215–225. 72 indexed citations

20.

Shoji, Yasushi, Yohei Mitani, Taro Mieno, & Koichi Kuriyama. (2008). Providing quality recreation experiences in Japan. Economics bulletin. 17(7). 1–11. 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.

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