Iori Hashimoto

2.6k total citations
97 papers, 2.1k citations indexed

About

Iori Hashimoto is a scholar working on Control and Systems Engineering, Mechanical Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Iori Hashimoto has authored 97 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Control and Systems Engineering, 13 papers in Mechanical Engineering and 12 papers in Statistics, Probability and Uncertainty. Recurrent topics in Iori Hashimoto's work include Advanced Control Systems Optimization (48 papers), Fault Detection and Control Systems (36 papers) and Process Optimization and Integration (35 papers). Iori Hashimoto is often cited by papers focused on Advanced Control Systems Optimization (48 papers), Fault Detection and Control Systems (36 papers) and Process Optimization and Integration (35 papers). Iori Hashimoto collaborates with scholars based in Japan, United States and United Kingdom. Iori Hashimoto's co-authors include Shinji Hasebe, Manabu Kano, Hiromu Ohno, Shouhei Tanaka, Masaru Noda, Takeichiro Takamatsu, Koichi Miyazaki, Koji Nagao, Bhavik R. Bakshi and Masahiro Ohshima and has published in prestigious journals such as Water Research, Chemical Engineering Journal and Automatica.

In The Last Decade

Iori Hashimoto

89 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iori Hashimoto Japan 22 1.7k 831 577 389 165 97 2.1k
E.B. Martin United Kingdom 29 1.8k 1.1× 1.0k 1.2× 964 1.7× 515 1.3× 110 0.7× 98 2.4k
N.L. Ricker United States 21 2.0k 1.2× 503 0.6× 301 0.5× 281 0.7× 148 0.9× 47 2.5k
Thomas E. Marlin Canada 16 2.2k 1.3× 630 0.8× 479 0.8× 387 1.0× 98 0.6× 45 2.5k
R.S.H. Mah United States 19 1.0k 0.6× 254 0.3× 222 0.4× 194 0.5× 159 1.0× 37 1.3k
Lijia Luo China 21 789 0.5× 586 0.7× 265 0.5× 187 0.5× 155 0.9× 83 1.3k
Evan L. Russell United States 8 2.1k 1.2× 1.2k 1.4× 776 1.3× 527 1.4× 61 0.4× 14 2.3k
Paul Nomikos Canada 10 3.3k 1.9× 2.0k 2.4× 1.5k 2.6× 958 2.5× 101 0.6× 11 3.6k
Yingwei Zhang China 27 2.2k 1.3× 1.3k 1.6× 868 1.5× 365 0.9× 73 0.4× 148 2.6k
Ricardo Dunia United States 14 1.4k 0.8× 672 0.8× 481 0.8× 379 1.0× 66 0.4× 38 1.6k
Mingxing Jia China 18 959 0.6× 604 0.7× 210 0.4× 162 0.4× 49 0.3× 79 1.2k

Countries citing papers authored by Iori Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Iori Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iori Hashimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Iori Hashimoto. A scholar is included among the top collaborators of Iori Hashimoto 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 Iori Hashimoto. Iori Hashimoto 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.
Hashimoto, Iori, et al.. (2024). Derivative Features of Short-Time Holomorphic Fourier Transform. 419–423.
2.
Hashimoto, Iori, et al.. (2024). Spherical Mapping of Short-Time Spectral Components. 105–109.
3.
Kano, Manabu, Shouhei Tanaka, Hiroshi Maruta, et al.. (2002). Statistical Process Monitoring with External Analysis and Independent Component Analysis. Transactions of the Society of Instrument and Control Engineers. 38(11). 958–965. 3 indexed citations
4.
Kano, Manabu, et al.. (2002). Inferential control of distillation compositions: selection of model and control configuration. Control Engineering Practice. 11(8). 927–933. 44 indexed citations
5.
Kano, Manabu, Shinji Hasebe, Iori Hashimoto, & Hiromu Ohno. (2002). Statistical process monitoring based on dissimilarity of process data. AIChE Journal. 48(6). 1231–1240. 138 indexed citations
6.
Hasebe, Shinji, et al.. (2001). The effects of imperfect mixing on the stabilizing control of continuous DTB crystallizers. IFAC Proceedings Volumes. 34(25). 293–298. 2 indexed citations
7.
Sotowa, Ken‐Ichiro, et al.. (2000). The effects of design variables on the stabilizing control of continuous DTB crystallizers. Computers & Chemical Engineering. 24(2-7). 917–923. 4 indexed citations
8.
Kano, Manabu, Hiromu Ohno, Shinji Hasebe, & Iori Hashimoto. (1999). Design of Type 2 Model Predictive Control System. Transactions of the Society of Instrument and Control Engineers. 35(12). 1575–1582.
9.
Nishitani, Hirokazu, et al.. (1999). Performance Evaluation of the Distributed Scheduling System Using Message Passing. Transactions of the Society of Instrument and Control Engineers. 35(4). 546–553. 1 indexed citations
10.
Sotowa, Ken‐Ichiro, et al.. (1999). Stabilizing Control of Continuous DTB Crystallizer. Influence of Undissolved Fine Crystals in External Heater.. KAGAKU KOGAKU RONBUNSHU. 25(1). 51–58. 5 indexed citations
11.
Hasebe, Shinji, et al.. (1999). Optimal Operation and Control of a Continuous DTB Crystallizer. IFAC Proceedings Volumes. 32(2). 7113–7118. 3 indexed citations
12.
Murakami, Yoshihiro, et al.. (1997). Application of Repetitive SA Method to Scheduling Problems of Chemical Processes. Transactions of the Institute of Systems Control and Information Engineers. 10(3). 144–151.
13.
Hashimoto, Iori, Masahiro Ohshima, & Hiromu Ohno. (1996). Process Control Technology in Chemical Industries-Present and Future. 40(11). 473–479. 1 indexed citations
14.
Ohshima, Masahiro, et al.. (1995). Model predictive control with adaptive disturbance prediction and its application to fatty acid distillation column control. Journal of Process Control. 5(1). 41–48. 15 indexed citations
15.
Ohshima, Masahiro, Iori Hashimoto, Hiromu Ohno, et al.. (1994). Multirate multivariable model predictive control and its application to a polymerization reactor. International Journal of Control. 59(3). 731–742. 26 indexed citations
16.
Chu, Jian, et al.. (1989). A robustness study for chemical process control.. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 22(1). 30–34. 2 indexed citations
17.
Chu, Jian, Masahiro Ohshima, Iori Hashimoto, Takeichiro Takamatsu, & Jicheng Wang. (1989). A design method for a class of robust nonlinear observers.. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 22(3). 228–235. 1 indexed citations
18.
Takamatsu, Takeichiro, et al.. (1984). Design of a flexible batch process with intermediate storage tanks. Industrial & Engineering Chemistry Process Design and Development. 23(1). 40–48. 11 indexed citations
19.
Kinoshita, Masahiro, Iori Hashimoto, & Takeichiro Takamatsu. (1983). A new simulation procedure for multicomponent distillation column processing nonideal solutions or reactive solutions.. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 16(5). 370–377. 15 indexed citations
20.
Takamatsu, Takeichiro, Iori Hashimoto, & Suteaki Shioya. (1971). DETERMINATION OF EXPERIMENTAL CONDITION TAKING ACCOUNT OF THE EFFECT OF PARAMETER ACCURACY ON SYSTEM DESIGN. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 4(1). 87–91. 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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