This map shows the geographic impact of Minoru Fukumi'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 Minoru Fukumi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minoru Fukumi more than expected).
This network shows the impact of papers produced by Minoru Fukumi. 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 Minoru Fukumi. The network helps show where Minoru Fukumi may publish in the future.
Co-authorship network of co-authors of Minoru Fukumi
This figure shows the co-authorship network connecting the top 25 collaborators of Minoru Fukumi.
A scholar is included among the top collaborators of Minoru Fukumi 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 Minoru Fukumi. Minoru Fukumi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ito, Shin-ichi, et al.. (2020). INDIVIDUAL DIFFERENCES IN BRAIN ACTIVITIES WHEN HUMAN WISHES TO LISTEN TO MUSIC CONTINUOUSLY USING NEAR-INFRARED SPECTROSCOPY. International Journal of Advanced Science and Technology. 29. 807–813.1 indexed citations
3.
Ito, Shin-ichi, et al.. (2014). Preference Classification Method Using EEG Analysis Based on Gray Theory and Personality Analysis. 4(3). 276–280.2 indexed citations
4.
Karungaru, Stephen, Kenji Terada, & Minoru Fukumi. (2013). Hand written character recognition using star-layered histogram features. Society of Instrument and Control Engineers of Japan. 1151–1155.1 indexed citations
5.
Takimoto, Hironori, Akira Yoshida, Yasue Mitsukura, & Minoru Fukumi. (2010). Invisible Print-Type Calibration Pattern Based on Human Visual Perception.. International Conference on Image Processing. 2601–2604.1 indexed citations
Karungaru, Stephen, et al.. (2009). A circle-based Region-Of-Interest segmentation method for palmprint recognition. 2009 ICCAS-SICE. 4993–4997.3 indexed citations
8.
Akashi, Takuya, Yuji Wakasa, Kanya Tanaka, & Minoru Fukumi. (2008). Improving the Robustness of Lips Sensing with Evolutionary Video Processing. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 713–716.4 indexed citations
9.
Ogawa, Takahiro, et al.. (2007). The EEG Analysis by Using the Neural Network in Listening to Music. IEICE Technical Report; IEICE Tech. Rep.. 107(92). 5–9.3 indexed citations
10.
Karungaru, Stephen, Minoru Fukumi, & Norio Akamatsu. (2007). Automatic human faces morphing using genetic algorithms based control points selection. International journal of innovative computing, information & control. 3(2). 247–256.14 indexed citations
11.
Karungaru, Stephen, et al.. (2006). Extraction of the liver tumor in CT images by real coded genetic algorithm (RGA). Computational intelligence. 259–264.1 indexed citations
12.
Karungaru, Stephen, Minoru Fukumi, Takuya Akashi, & Norio Akamatsu. (2006). Optimizing feature extraction for the camera mouse using genetic algorithms. Annual Conference on Computers. 927–931.1 indexed citations
13.
Karungaru, Stephen, et al.. (2006). Recognition of Wrist Motion Pattern by EMG. 106(143). 91–95.
Fukumi, Minoru, et al.. (2004). Wrist EMG pattern recognition system by neural networks and genetic algorithms. 421–426.5 indexed citations
16.
Akashi, Takuya, et al.. (2004). High Speed Lips Region Extraction by Template Matching with Genetic Algorithms in Real Environments. 104. 57–62.1 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.