Ryuei Nishii

1.5k total citations
74 papers, 1.0k citations indexed

About

Ryuei Nishii is a scholar working on Media Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Ryuei Nishii has authored 74 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Media Technology, 17 papers in Environmental Engineering and 13 papers in Global and Planetary Change. Recurrent topics in Ryuei Nishii's work include Remote-Sensing Image Classification (19 papers), Land Use and Ecosystem Services (13 papers) and Remote Sensing in Agriculture (10 papers). Ryuei Nishii is often cited by papers focused on Remote-Sensing Image Classification (19 papers), Land Use and Ecosystem Services (13 papers) and Remote Sensing in Agriculture (10 papers). Ryuei Nishii collaborates with scholars based in Japan, China and Italy. Ryuei Nishii's co-authors include Shojiro Tanaka, Keiichi Mochida, Komaki Inoue, Farid Melgani, Shuji Kawaguchi, Satsuki Tanaka, Takashi Hirayama, Shinji Tanaka, Shinto Eguchi and Yasunori Fujikoshi and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Frontiers in Plant Science and The Annals of Statistics.

In The Last Decade

Ryuei Nishii

64 papers receiving 967 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryuei Nishii Japan 14 248 203 199 167 144 74 1.0k
Lynne Seymour United States 12 68 0.3× 89 0.4× 77 0.4× 93 0.6× 27 0.2× 51 823
Hervé Cardot France 23 1.1k 4.4× 26 0.1× 487 2.4× 53 0.3× 141 1.0× 65 2.0k
Nathalie Peyrard France 12 43 0.2× 68 0.3× 177 0.9× 40 0.2× 72 0.5× 31 605
Italia De Feis Italy 16 108 0.4× 23 0.1× 56 0.3× 88 0.5× 41 0.3× 53 979
Nickolay T. Trendafilov United Kingdom 16 210 0.8× 52 0.3× 212 1.1× 17 0.1× 18 0.1× 52 1.2k
Olivier Strauss France 17 63 0.3× 58 0.3× 157 0.8× 84 0.5× 48 0.3× 82 1.0k
Guoqing Liu China 16 68 0.3× 22 0.1× 141 0.7× 31 0.2× 61 0.4× 114 923
James D. B. Nelson United Kingdom 15 39 0.2× 551 2.7× 122 0.6× 20 0.1× 68 0.5× 57 1.0k
Teerasit Kasetkasem Thailand 12 17 0.1× 386 1.9× 329 1.7× 65 0.4× 277 1.9× 67 1.1k
Charles Bouveyron France 17 230 0.9× 51 0.3× 746 3.7× 14 0.1× 62 0.4× 70 1.4k

Countries citing papers authored by Ryuei Nishii

Since Specialization
Citations

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

Fields of papers citing papers by Ryuei Nishii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryuei Nishii

This figure shows the co-authorship network connecting the top 25 collaborators of Ryuei Nishii. A scholar is included among the top collaborators of Ryuei Nishii 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 Ryuei Nishii. Ryuei Nishii 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.
Nishii, Ryuei, Satoshi Ohashi, Tamiko Negoro, et al.. (2025). CRAGE and GNN-based AI architecture for autonomous transitions in modular robots. Artificial Life and Robotics. 31(1). 265–279.
2.
Kim, June‐Sik, Kotaro Takahagi, Komaki Inoue, et al.. (2022). Exome-wide variation in a diverse barley panel reveals genetic associations with ten agronomic traits in Eastern landraces. Journal of genetics and genomics. 50(4). 241–252. 4 indexed citations
3.
Yamaguchi, Yuka, et al.. (2020). Minimizing the expected value of the asymmetric loss function and an inequality for the variance of the loss. Journal of Applied Statistics. 48(13-15). 2348–2368.
4.
Sato, Kazuhiro, Makoto Ishii, Kotaro Takahagi, et al.. (2020). Genetic Factors Associated with Heading Responses Revealed by Field Evaluation of 274 Barley Accessions for 20 Seasons. iScience. 23(6). 101146–101146. 7 indexed citations
5.
Mochida, Keiichi, et al.. (2018). Statistical and Machine Learning Approaches to Predict Gene Regulatory Networks From Transcriptome Datasets. Frontiers in Plant Science. 9. 1770–1770. 56 indexed citations
6.
7.
Mochida, Keiichi, Komaki Inoue, Takashi Hirayama, et al.. (2018). Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspective. GigaScience. 8(1). 142 indexed citations
8.
9.
Nishii, Ryuei, et al.. (2012). Statistical frameworking of deforestation models based on human population density and relief energy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8538. 85380K–85380K. 5 indexed citations
10.
Nishii, Ryuei & Shojiro Tanaka. (2010). An application of novel zero-one inflated distributions with spatial dependence for the deforestation modeling. 3442–3445. 4 indexed citations
11.
Tanaka, Shojiro & Ryuei Nishii. (2007). Deforestation due to population and relief energy through spatially-correlated logit models. 2310–2313. 2 indexed citations
12.
Kawaguchi, Shuji, et al.. (2006). Unsupervised Contextual Classification of Remotely Sensed Imagery by Taking Mixel Information into Account. National Remote Sensing Bulletin. 26(2). 107–116. 1 indexed citations
13.
Nishii, Ryuei & Shinto Eguchi. (2006). Image classification based on Markov random field models with Jeffreys divergence. Journal of Multivariate Analysis. 97(9). 1997–2008. 9 indexed citations
14.
Nishii, Ryuei & Shinto Eguchi. (2004). Supervised image classification based on AdaBoost with contextual weak classifiers. 2. 1467–1470. 4 indexed citations
15.
16.
Nishii, Ryuei, et al.. (1988). On the characteristic polynomial of the information matrix of balanced fractional sm factorial designs of resolution Vp, q. Journal of Statistical Planning and Inference. 18(1). 101–114. 3 indexed citations
17.
Nishii, Ryuei. (1988). Maximum likelihood principle and model selection when the true model is unspecified. Journal of Multivariate Analysis. 27(2). 392–403. 93 indexed citations
18.
Nishii, Ryuei. (1987). OPTIMAL DESIGNS MINIMIZING MEAN SQUARED ERROR FOR POLYNOMIAL REGRESSION. 17(2). 113–118. 1 indexed citations
19.
Fujikoshi, Yasunori & Ryuei Nishii. (1984). On the distribution of a statistic in multivariate inverse regression analysis. Hiroshima Mathematical Journal. 14(1). 20 indexed citations
20.
Fujikoshi, Yasunori & Ryuei Nishii. (1983). ASYMPTOTIC COMPARISON OF THREE CONFIDENCE REGIONS IN ANALYSIS OF GROWTH CURVES. 13(2). 151–155. 3 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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