Koji Muteki

562 total citations
20 papers, 441 citations indexed

About

Koji Muteki is a scholar working on Analytical Chemistry, Control and Systems Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Koji Muteki has authored 20 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Analytical Chemistry, 10 papers in Control and Systems Engineering and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in Koji Muteki's work include Spectroscopy and Chemometric Analyses (15 papers), Fault Detection and Control Systems (9 papers) and Advanced Statistical Process Monitoring (6 papers). Koji Muteki is often cited by papers focused on Spectroscopy and Chemometric Analyses (15 papers), Fault Detection and Control Systems (9 papers) and Advanced Statistical Process Monitoring (6 papers). Koji Muteki collaborates with scholars based in United States, Canada and Japan. Koji Muteki's co-authors include John F. MacGregor, Toshihiro Ueda, George L. Reid, Lin Zhang, Gloria Kim, Weili Yu, Sonja Sekulic, Ryan Gosselin, Mahesh Krishnan and Kyle R. Leeman and has published in prestigious journals such as Industrial & Engineering Chemistry Research, AIChE Journal and Journal of Pharmaceutical Sciences.

In The Last Decade

Koji Muteki

20 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koji Muteki United States 13 187 124 106 60 59 20 441
Raafat Fahmy United States 13 279 1.5× 48 0.4× 84 0.8× 52 0.9× 66 1.1× 35 586
Ana Patrícia Ferreira United Kingdom 11 147 0.8× 50 0.4× 55 0.5× 25 0.4× 56 0.9× 19 367
Jakob Rehrl Austria 15 59 0.3× 293 2.4× 204 1.9× 51 0.8× 110 1.9× 49 742
Jon Gabrielsson Sweden 11 203 1.1× 54 0.4× 37 0.3× 63 1.1× 33 0.6× 15 500
Melanie Dumarey Belgium 13 181 1.0× 26 0.2× 61 0.6× 99 1.6× 37 0.6× 20 507
Magnus Fransson Sweden 17 253 1.4× 105 0.8× 175 1.7× 61 1.0× 76 1.3× 24 677
Stephan Sacher Austria 18 250 1.3× 213 1.7× 207 2.0× 84 1.4× 145 2.5× 63 1.0k
Andrés D. Román-Ospino United States 17 307 1.6× 112 0.9× 218 2.1× 62 1.0× 99 1.7× 34 663
Tibor Casian Romania 16 147 0.8× 30 0.2× 99 0.9× 33 0.6× 33 0.6× 38 646
Benoît Igne United States 18 612 3.3× 88 0.7× 92 0.9× 112 1.9× 46 0.8× 51 793

Countries citing papers authored by Koji Muteki

Since Specialization
Citations

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

Fields of papers citing papers by Koji Muteki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Muteki

This figure shows the co-authorship network connecting the top 25 collaborators of Koji Muteki. A scholar is included among the top collaborators of Koji Muteki 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 Koji Muteki. Koji Muteki 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.
Muteki, Koji, et al.. (2019). Likelihood Maximization Inverse Regression: A novel non-linear multivariate model. Chemometrics and Intelligent Laboratory Systems. 194. 103844–103844. 2 indexed citations
2.
Muteki, Koji, et al.. (2019). Computing meaningful models of continuous data. Process Safety and Environmental Protection. 148. 321–335. 1 indexed citations
3.
Muteki, Koji, et al.. (2018). A novel robust NL-PLS regression methodology. Chemometrics and Intelligent Laboratory Systems. 184. 71–81. 14 indexed citations
4.
Muteki, Koji, et al.. (2018). Generalization of Powered–Partial-Least-Squares. Chemometrics and Intelligent Laboratory Systems. 179. 1–11. 4 indexed citations
5.
Tshepelevitsh, Sofja, et al.. (2017). Systematic Optimization of Liquid–Liquid Extraction for Isolation of Unidentified Components. ACS Omega. 2(11). 7772–7776. 29 indexed citations
6.
Kaneko, Hiromasa, Koji Muteki, & Kimito Funatsu. (2015). Improvement of iterative optimization technology (for process analytical technology calibration-free/minimum approach) with dimensionality reduction and wavelength selection of spectra. Chemometrics and Intelligent Laboratory Systems. 147. 176–184. 13 indexed citations
7.
8.
Muteki, Koji, Daniel O. Blackwood, Brent J. Maranzano, et al.. (2013). Mixture Component Prediction Using Iterative Optimization Technology (Calibration-Free/Minimum Approach). Industrial & Engineering Chemistry Research. 52(35). 12258–12268. 36 indexed citations
9.
Muteki, Koji, et al.. (2012). Feed-Forward Process Control Strategy for Pharmaceutical Tablet Manufacture Using Latent Variable Modeling and Optimization Technologies. IFAC Proceedings Volumes. 45(15). 51–56. 9 indexed citations
10.
Muteki, Koji, et al.. (2011). De-risking Pharmaceutical Tablet Manufacture Through Process Understanding, Latent Variable Modeling, and Optimization Technologies. AAPS PharmSciTech. 12(4). 1324–1334. 26 indexed citations
11.
Muteki, Koji, et al.. (2011). De-risking Scale-up of a High Shear Wet Granulation Process Using Latent Variable Modeling and Near-Infrared Spectroscopy. Journal of Pharmaceutical Innovation. 6(3). 142–156. 22 indexed citations
12.
Yu, Weili, Koji Muteki, Lin Zhang, & Gloria Kim. (2010). Prediction of Bulk Powder Flow Performance Using Comprehensive Particle Size and Particle Shape Distributions. Journal of Pharmaceutical Sciences. 100(1). 284–293. 86 indexed citations
13.
Muteki, Koji & John F. MacGregor. (2008). Optimal purchasing of raw materials: A data‐driven approach. AIChE Journal. 54(6). 1554–1559. 17 indexed citations
14.
Muteki, Koji & John F. MacGregor. (2007). Sequential design of mixture experiments for the development of new products. Journal of Chemometrics. 21(10-11). 496–505. 7 indexed citations
15.
Muteki, Koji, John F. MacGregor, & Toshihiro Ueda. (2006). Rapid Development of New Polymer Blends:  The Optimal Selection of Materials and Blend Ratios. Industrial & Engineering Chemistry Research. 45(13). 4653–4660. 41 indexed citations
16.
Muteki, Koji, John F. MacGregor, & Toshihiro Ueda. (2006). Mixture designs and models for the simultaneous selection of ingredients and their ratios. Chemometrics and Intelligent Laboratory Systems. 86(1). 17–25. 60 indexed citations
17.
Muteki, Koji & John F. MacGregor. (2006). Multi-block PLS modeling for L-shape data structures with applications to mixture modeling. Chemometrics and Intelligent Laboratory Systems. 85(2). 186–194. 26 indexed citations
18.
Muteki, Koji, John F. MacGregor, & Toshihiro Ueda. (2005). Estimation of missing data using latent variable methods with auxiliary information. Chemometrics and Intelligent Laboratory Systems. 78(1-2). 41–50. 16 indexed citations
19.
Muteki, Koji, et al.. (1997). Sensor Fault Detection and Validation For Chemical Process Using A Neural Network Model. IFAC Proceedings Volumes. 30(11). 561–566. 1 indexed citations
20.
SANADA, Kazushi, Koji Muteki, & Ato KITAGAWA. (1995). A Study on Design Techniques for Control System of an Electrohydraulic Servo Mechanism Based on .MU. Synthesis.. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C. 61(590). 3960–3967. 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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