Masahiko Suguri

589 total citations
50 papers, 472 citations indexed

About

Masahiko Suguri is a scholar working on Plant Science, Ecology and Analytical Chemistry. According to data from OpenAlex, Masahiko Suguri has authored 50 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 16 papers in Ecology and 15 papers in Analytical Chemistry. Recurrent topics in Masahiko Suguri's work include Smart Agriculture and AI (19 papers), Remote Sensing in Agriculture (15 papers) and Spectroscopy and Chemometric Analyses (15 papers). Masahiko Suguri is often cited by papers focused on Smart Agriculture and AI (19 papers), Remote Sensing in Agriculture (15 papers) and Spectroscopy and Chemometric Analyses (15 papers). Masahiko Suguri collaborates with scholars based in Japan, South Korea and Cambodia. Masahiko Suguri's co-authors include Chanseok Ryu, Michihisa Iida, Mikio Umeda, Hiroki Kurita, Yang Li, Chungkeun Lee, Si‐Bum Park, Shigenobu Kishino, Tatsuya Inamura and Keisuke Iida and has published in prestigious journals such as Food Chemistry, Field Crops Research and Computers and Electronics in Agriculture.

In The Last Decade

Masahiko Suguri

49 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masahiko Suguri Japan	14	281	189	139	64	49	50	472
John Nowatzki United States	11	381 1.4×	241 1.3×	90 0.6×	35 0.5×	39 0.8×	31	700
Kailiang Zhang China	8	531 1.9×	92 0.5×	143 1.0×	75 1.2×	85 1.7×	25	722
Zhihua Diao China	12	428 1.5×	104 0.6×	160 1.2×	41 0.6×	92 1.9×	33	645
Zhenchao Wu China	14	388 1.4×	81 0.4×	115 0.8×	101 1.6×	45 0.9×	23	593
Pieter M. Blok Netherlands	9	472 1.7×	113 0.6×	146 1.1×	58 0.9×	71 1.4×	17	622
Qingzhen Zhu China	14	208 0.7×	112 0.6×	67 0.5×	53 0.8×	17 0.3×	38	438
Xu Ma China	15	369 1.3×	159 0.8×	105 0.8×	103 1.6×	44 0.9×	41	621
Hongjun Wang China	13	445 1.6×	63 0.3×	111 0.8×	78 1.2×	114 2.3×	45	692
Gerie W.A.M. van der Heijden Netherlands	12	414 1.5×	96 0.5×	92 0.7×	28 0.4×	46 0.9×	15	634

Countries citing papers authored by Masahiko Suguri

Since Specialization

Citations

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

Fields of papers citing papers by Masahiko Suguri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahiko Suguri

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

All Works

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20 of 20 papers shown

Ryu, Chanseok, et al.. (2017). Estimation of rice protein content before harvest using ground-based hyperspectral imaging and region of interest analysis. Precision Agriculture. 19(4). 721–734. 16 indexed citations

Kurita, Hiroki, et al.. (2017). Rice Autonomous Harvesting: Operation Framework. Journal of Field Robotics. 34(6). 1084–1099. 27 indexed citations

Iida, Michihisa, et al.. (2013). Path Following Control for Head-feeding Combine Robot. Transactions of the Society of Instrument and Control Engineers. 49(1). 119–124. 4 indexed citations

Iida, Michihisa, et al.. (2013). Advanced Harvesting System by using a Combine Robot. IFAC Proceedings Volumes. 46(4). 40–44. 13 indexed citations

Iida, Michihisa, et al.. (2013). Path-Following Control of a Head-Feeding Combine Robot. Engineering in Agriculture Environment and Food. 6(2). 61–67. 14 indexed citations

Kurita, Hiroki, Makoto Iida, & Masahiko Suguri. (2012). Automation of unloading work - searching and detecting a grain container and proper positioning of a harvester's spout.. 1 indexed citations

Suguri, Masahiko, et al.. (2010). Estimation of the quantity and quality of green tea using hyperspectral sensing.. Journal of the Japanese Society of Agricultural Machinery. 72(1). 46–53. 5 indexed citations

Suguri, Masahiko, et al.. (2007). Geostatistical Analysis of Spatial Variability of Paddy Rice Nitrogen in Paddy-Upland Rotational Fields for Extension of Precision Agriculture. Journal of the Japanese Society of Agricultural Machinery. 69(2). 69–78. 1 indexed citations

Ryu, Chanseok, Masahiko Suguri, & Mikio Umeda. (2007). Estimation and Comparison of Nitrogen Contents Model of Rice Plant Using Remote Sensing. Journal of the Japanese Society of Agricultural Machinery. 69(3). 43–50. 3 indexed citations

10.

Ryu, Chanseok, Masahiko Suguri, Michihisa Iida, & Mikio Umeda. (2007). Validation of Rice Taste Elements Influenced by Amounts of Nitrogen Fertilizer and Estimation Using Remote Sensing. Journal of the Japanese Society of Agricultural Machinery. 69(1). 52–58. 2 indexed citations

11.

Ryu, Chanseok, et al.. (2005). Making nitrogen contents model using hyperspectral remote sensing and estimation nitrogens content by nitrogen content model. Journal of the Japanese Society of Agricultural Machinery. 67(6). 47–54. 5 indexed citations

12.

Ryu, Chanseok, Masahiko Suguri, Mikio Umeda, & Tatsuya Inamura. (2004). Estimation of Nitrogen Content of Rice Plant Using Remote Sensing Technology. Journal of the Japanese Society of Agricultural Machinery. 66(2). 85–96. 4 indexed citations

13.

Ryu, Chanseok, Michihisa Iida, Masahiko Suguri, et al.. (2004). Effect of Variable Rate Fertilizer Application Aimed at Reducing the Spatial Variability of Grain Yield on Rice Taste. Journal of the Japanese Society of Agricultural Machinery. 66(5). 49–62. 5 indexed citations

14.

Suguri, Masahiko, et al.. (2002). Autonomous Transportation Vehicle Using Image Processing (part 3). Journal of the Japanese Society of Agricultural Machinery. 64(6). 104–110. 1 indexed citations

15.

Suguri, Masahiko, et al.. (2002). Obstacle Avoidance System for Autonomous Transportation Vehicle based on Image Processing. eCommons (Cornell University). 13 indexed citations

16.

Suguri, Masahiko, et al.. (2002). Autonomous Transportation Vehicle Using Image Processing (Part 1). Journal of the Japanese Society of Agricultural Machinery. 64(2). 49–55. 2 indexed citations

17.

Suguri, Masahiko, et al.. (2002). Autonomous Transportation Vehicle Using Image Processing (Part 2). Journal of the Japanese Society of Agricultural Machinery. 64(2). 56–61. 1 indexed citations

18.

Suguri, Masahiko, et al.. (2002). Autonomous Transportation Vehicle Using Image Processing. (Part 2). Obstacle detection for collision avoidance.:Obstacle detection for collision avoidance. 64(2). 56–61. 1 indexed citations

19.

Suguri, Masahiko, Keisuke Iida, Mikio Umeda, Tatsuya Inamura, & Tsutomu Matsui. (2001). Estimation of Nitrogen Content Using Machine Vision in a Paddy Field. Journal of the Japanese Society of Agricultural Machinery. 63(3). 59–66. 8 indexed citations

20.

Iida, Keisuke, Masahiko Suguri, Mikio Umeda, & Toshihisa Matsui. (2000). Estimation of nitrogen content using machine vision in a paddy field.. 1–21. 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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