Shuta Murakami

630 total citations
31 papers, 454 citations indexed

About

Shuta Murakami is a scholar working on Artificial Intelligence, Control and Systems Engineering and Statistics and Probability. According to data from OpenAlex, Shuta Murakami has authored 31 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Control and Systems Engineering and 7 papers in Statistics and Probability. Recurrent topics in Shuta Murakami's work include Fuzzy Logic and Control Systems (18 papers), Fuzzy Systems and Optimization (7 papers) and Multi-Criteria Decision Making (5 papers). Shuta Murakami is often cited by papers focused on Fuzzy Logic and Control Systems (18 papers), Fuzzy Systems and Optimization (7 papers) and Multi-Criteria Decision Making (5 papers). Shuta Murakami collaborates with scholars based in Japan, United States and United Kingdom. Shuta Murakami's co-authors include Mikio Maeda, Hiroshi Maeda, Yasushi Maeda, Ken’ichiro Hayashi, Chun‐Yi Su, Hugang Han and Ryuji Kitagawa and has published in prestigious journals such as Information Sciences, Fuzzy Sets and Systems and Applied Soft Computing.

In The Last Decade

Shuta Murakami

29 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuta Murakami Japan 11 264 252 103 56 54 31 454
E. McCormick United States 3 204 0.8× 395 1.6× 54 0.5× 31 0.6× 30 0.6× 6 533
Leticia Cervantes Mexico 8 187 0.7× 297 1.2× 33 0.3× 100 1.8× 19 0.4× 18 479
Runmei Li China 10 132 0.5× 103 0.4× 39 0.4× 38 0.7× 18 0.3× 38 373
Jean J. Saade Lebanon 10 118 0.4× 169 0.7× 60 0.6× 159 2.8× 11 0.2× 22 389
Pınar Tüfekçi Türkiye 6 70 0.3× 185 0.7× 40 0.4× 34 0.6× 37 0.7× 12 366
Tadanari Taniguchi Japan 8 261 1.0× 111 0.4× 24 0.2× 14 0.3× 30 0.6× 30 394
Leonardo Ramos Rodrigues Brazil 12 187 0.7× 86 0.3× 27 0.3× 24 0.4× 38 0.7× 43 427
Qingwei Chen China 10 108 0.4× 76 0.3× 98 1.0× 25 0.4× 20 0.4× 37 353
Lie Meng Pang China 9 63 0.2× 277 1.1× 23 0.2× 69 1.2× 37 0.7× 46 497
Ashkan Jasour United States 10 116 0.4× 84 0.3× 129 1.3× 39 0.7× 15 0.3× 30 321

Countries citing papers authored by Shuta Murakami

Since Specialization
Citations

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

Fields of papers citing papers by Shuta Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuta Murakami

This figure shows the co-authorship network connecting the top 25 collaborators of Shuta Murakami. A scholar is included among the top collaborators of Shuta Murakami 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 Shuta Murakami. Shuta Murakami 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.
Murakami, Shuta, et al.. (2004). Fuzzy Morphology with Fuzzy Adaptive Structuring Element and Its Application to Seal Defect Testing. Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 16(4). 349–360. 1 indexed citations
2.
Murakami, Shuta, et al.. (2003). Fuzzy prediction model for water demand prediction using an interpolative fuzzy reasoning method. International Journal of Systems Science. 34(14-15). 775–785. 6 indexed citations
3.
Han, Hugang, Chun‐Yi Su, & Shuta Murakami. (2002). Adaptive control of a class of nonlinear discrete-time systems with fuzzy logic. 3. 1785–1789. 2 indexed citations
4.
Murakami, Shuta, et al.. (2002). Application of Fuzzy Mathematical Morphology with Adaptive Structuring Elements to Seal Defect Testing. Journal of Advanced Computational Intelligence and Intelligent Informatics. 6(1). 62–69. 1 indexed citations
5.
Hayashi, Ken’ichiro, et al.. (1999). Realization of nonlinear and linear PID controls using simplified indirect fuzzy inference method. Fuzzy Sets and Systems. 105(3). 409–414. 18 indexed citations
6.
Murakami, Shuta, et al.. (1997). Stability Analysis of Direct Fuzzy Inference Control System Using Describing Function Method. Transactions of the Society of Instrument and Control Engineers. 33(10). 988–994.
7.
Hayashi, Ken’ichiro, et al.. (1997). Improvement of control performance for low-dimensional number of fuzzy labelings using simplified inference method. Fuzzy Sets and Systems. 90(1). 37–44. 2 indexed citations
8.
Maeda, Mikio, et al.. (1995). Predictive fuzzy control of an autonomous mobile robot with forecast learning function. Fuzzy Sets and Systems. 72(1). 51–60. 15 indexed citations
9.
Maeda, Hiroshi & Shuta Murakami. (1993). The use of a fuzzy decision-making method in a large-scale computer system choice problem. Fuzzy Sets and Systems. 54(3). 235–249. 28 indexed citations
10.
Maeda, Mikio, Yasushi Maeda, & Shuta Murakami. (1992). Fuzzy Drive Control of an Intelligent Robot. Transactions of the Society of Instrument and Control Engineers. 28(10). 1231–1240. 7 indexed citations
11.
Maeda, Mikio, Yasushi Maeda, & Shuta Murakami. (1991). Fuzzy drive control of an autonomous mobile robot. Fuzzy Sets and Systems. 39(2). 195–204. 78 indexed citations
12.
Maeda, Mikio & Shuta Murakami. (1988). Self-Tuning Fuzzy Controller. Transactions of the Society of Instrument and Control Engineers. 24(2). 191–197. 20 indexed citations
13.
Maeda, Hiroshi & Shuta Murakami. (1988). A fuzzy decision-making method and its application to a company choice problem. Information Sciences. 45(2). 331–346. 20 indexed citations
14.
Murakami, Shuta. (1988). Arc welding fuzzy robot.. Journal of the Robotics Society of Japan. 6(6). 542–548. 1 indexed citations
15.
Maeda, Hiroshi & Shuta Murakami. (1987). A Fuzzy Decision Making Method for Multi-Objective Problems with a Preference Structure Representation by Fuzzy Connectives. Transactions of the Society of Instrument and Control Engineers. 23(5). 517–524. 2 indexed citations
16.
Maeda, Mikio & Shuta Murakami. (1985). Speed Control of Automobile by Fuzzy Logic Controller. Transactions of the Society of Instrument and Control Engineers. 21(9). 984–989. 9 indexed citations
17.
Maeda, Hiroshi & Shuta Murakami. (1985). POPULATION'S URBAN ENVIRONMENT EVALUATION MODEL AND ITS APPLICATION*. Journal of Regional Science. 25(2). 273–290. 3 indexed citations
18.
Murakami, Shuta, et al.. (1983). Optimal Speed Control of Automobile Using Microprocessor. Transactions of the Society of Instrument and Control Engineers. 19(7). 569–573. 1 indexed citations
19.
Maeda, Hiroshi & Shuta Murakami. (1982). Development of Population's Urban Environment Evaluation Model with Multiattribute Utility Function. Transactions of the Society of Instrument and Control Engineers. 18(8). 800–807. 1 indexed citations
20.
Murakami, Shuta. (1969). Optimum Control of Dam System by Statistical Decision Theory. Transactions of the Society of Instrument and Control Engineers. 5(3). 209–214. 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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