Tomoo Shiigi

616 total citations
36 papers, 474 citations indexed

About

Tomoo Shiigi is a scholar working on Plant Science, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Tomoo Shiigi has authored 36 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 12 papers in Electrical and Electronic Engineering and 8 papers in Aerospace Engineering. Recurrent topics in Tomoo Shiigi's work include Smart Agriculture and AI (17 papers), Indoor and Outdoor Localization Technologies (12 papers) and Spectroscopy and Chemometric Analyses (8 papers). Tomoo Shiigi is often cited by papers focused on Smart Agriculture and AI (17 papers), Indoor and Outdoor Localization Technologies (12 papers) and Spectroscopy and Chemometric Analyses (8 papers). Tomoo Shiigi collaborates with scholars based in Japan, Indonesia and China. Tomoo Shiigi's co-authors include Naoshi Kondo, Yuichi Ogawa, Mitsutaka Kurita, Tetsuhito Suzuki, Mitsuji Monta, Michihisa Iida, Kazuya Yamamoto, Masanori Ono, Abdul Momin and Makoto Kuramoto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Journal of Food Engineering.

In The Last Decade

Tomoo Shiigi

36 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomoo Shiigi Japan 13 324 139 87 56 56 36 474
Jiqing Chen China 14 420 1.3× 93 0.7× 36 0.4× 54 1.0× 45 0.8× 34 598
Shumao Wang China 13 272 0.8× 51 0.4× 73 0.8× 31 0.6× 22 0.4× 41 465
Tanuja Sheorey India 12 332 1.0× 130 0.9× 34 0.4× 14 0.3× 85 1.5× 34 596
Sang-Yeon Kim South Korea 12 169 0.5× 79 0.6× 93 1.1× 39 0.7× 37 0.7× 29 549
Bin Yan China 8 313 1.0× 74 0.5× 24 0.3× 41 0.7× 56 1.0× 16 569
Pan Fan China 6 316 1.0× 75 0.5× 24 0.3× 42 0.8× 55 1.0× 11 574
Fengyun Wu China 10 406 1.3× 114 0.8× 20 0.2× 41 0.7× 52 0.9× 17 591
Mohamed Farag Taha China 13 223 0.7× 115 0.8× 38 0.4× 19 0.3× 41 0.7× 27 423
Jin Gao China 11 211 0.7× 45 0.3× 47 0.5× 25 0.4× 41 0.7× 27 358

Countries citing papers authored by Tomoo Shiigi

Since Specialization
Citations

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

Fields of papers citing papers by Tomoo Shiigi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoo Shiigi

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoo Shiigi. A scholar is included among the top collaborators of Tomoo Shiigi 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 Tomoo Shiigi. Tomoo Shiigi 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.
Shiigi, Tomoo, et al.. (2022). Static and dynamic evaluations of acoustic positioning system using TDMA and FDMA for robots operating in a greenhouse. International journal of agricultural and biological engineering. 15(5). 28–33. 3 indexed citations
2.
Huang, Zichen, et al.. (2020). A Noise Tolerant Spread Spectrum Sound-Based Local Positioning System for Operating a Quadcopter in a Greenhouse. Sensors. 20(7). 1981–1981. 9 indexed citations
3.
Shiigi, Tomoo, et al.. (2020). Temperature-Compensated Spread Spectrum Sound-Based Local Positioning System for Greenhouse Operations. IoT. 1(2). 147–160. 4 indexed citations
4.
Huang, Zichen, Hiroki Fukuda, Tomoo Shiigi, et al.. (2020). Position and orientation measurement system using spread spectrum sound for greenhouse robots. Biosystems Engineering. 198. 50–62. 12 indexed citations
5.
Shiigi, Tomoo, et al.. (2020). Indoor Navigation System by Combining Ultrasonic Wave TOA and Inertial Measurement. 1690–1695. 3 indexed citations
6.
Huang, Zichen, et al.. (2019). Noise Tolerance Evaluation of Spread Spectrum Sound-based Positioning System for a Quadcopter in a Greenhouse. IFAC-PapersOnLine. 52(30). 239–242. 3 indexed citations
7.
Huang, Zichen, et al.. (2017). Is Spread Spectrum Sound a Robust Local Positioning System for a Quadcopter Operating in a Greenhouse?. SHILAP Revista de lepidopterología. 3 indexed citations
8.
Shiigi, Tomoo, et al.. (2017). Temperature compensation method using base-station for spread spectrum sound-based positioning system in green house. Engineering in Agriculture Environment and Food. 10(3). 233–242. 4 indexed citations
9.
Shiigi, Tomoo, et al.. (2014). Wind compensation for an open field spread spectrum sound-based positioning system using a base station configuration. Engineering in Agriculture Environment and Food. 7(3). 127–132. 6 indexed citations
10.
Momin, Abdul, Makoto Kuramoto, Naoshi Kondo, et al.. (2013). Identification of UV-Fluorescence Components for Detecting Peel Defects of Lemon and Yuzu using Machine Vision. Engineering in Agriculture Environment and Food. 6(4). 165–171. 12 indexed citations
11.
Shiigi, Tomoo, et al.. (2013). Moving Object Localization Using Sound-Based Positioning System with Doppler Shift Compensation. Robotics. 2(2). 36–53. 36 indexed citations
12.
Momin, Abdul, Naoshi Kondo, Makoto Kuramoto, et al.. (2012). Investigation of Excitation Wavelength for Fluorescence Emission of Citrus Peels based on UV-VIS Spectra. Engineering in Agriculture Environment and Food. 5(4). 126–132. 25 indexed citations
13.
Ogawa, Yuichi, Makoto Kuramoto, Yasushi Kohno, et al.. (2011). Detection of Rotten Citrus Fruit Using Fluorescent Images. The Review of Laser Engineering. 39(4). 255–261. 6 indexed citations
14.
Kondo, Naoshi, et al.. (2011). Use of Machine Vision to Sort Tomato Seedlings for Grafting Robot. Engineering in Agriculture Environment and Food. 4(4). 119–125. 24 indexed citations
15.
Takahashi, Noriko, Naoshi Kondo, Osamu Watanabe, et al.. (2011). Effects of Serum Vitamin A Level on Tapetum in Japanese Black Cattle Eye. Engineering in Agriculture Environment and Food. 4(4). 126–130. 4 indexed citations
16.
Watanabe, Yuichi, et al.. (2010). Machine vision system for detecting tomato fruits. 2010 Pittsburgh, Pennsylvania, June 20 - June 23, 2010. 1 indexed citations
17.
Kohno, Yasushi, Ting Yuan, Naoshi Kondo, et al.. (2010). Improvement of mobile citrus fruit grading machine. IFAC Proceedings Volumes. 43(26). 111–115. 2 indexed citations
18.
Momin, Abdul, et al.. (2010). Machine Vision System for Detecting Fluorescent Area of Citrus Using Fluorescence Image. IFAC Proceedings Volumes. 43(26). 241–244. 8 indexed citations
19.
Kondo, Naoshi, Kazuya Yamamoto, Hiroshi Shimizu, et al.. (2009). A Machine Vision System for Tomato Cluster Harvesting Robot. Engineering in Agriculture Environment and Food. 2(2). 60–65. 31 indexed citations
20.
Kurita, Mitsutaka, Naoshi Kondo, Hiroshi Shimizu, et al.. (2009). A Double Image Acquisition System with Visible and UV LEDs for Citrus Fruit. Journal of Robotics and Mechatronics. 21(4). 533–540. 28 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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