Masayuki Numao

138 papers receiving 992 citations

Peers

Masayuki Numao
Comparison fields: 5 of 113
  • Cognitive Neuroscience 353
  • Artificial Intelligence 302
  • Experimental and Cognitive Psychology 279
  • Computer Vision and Pattern Recognition 175
  • Signal Processing 141
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Citations per year

Countries citing papers authored by Masayuki Numao

Since Specialization
Citations

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

Fields of papers citing papers by Masayuki Numao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Numao

This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Numao. A scholar is included among the top collaborators of Masayuki Numao 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 Masayuki Numao. Masayuki Numao 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
#WorkIndexed citations
1 2
2 17
3 3
4 11
5
IoT-based Emotion Recognition Robot to Enhance Sense of Community in Nursing Home.
1
6
Sensor-Based Detection of Invisible Changes in Activities towards Visualizing Disuse Syndrome.
1
7
Non-Restrictive Continuous Health Monitoring by Integration of RFID and Microwave Sensor.
1
8 2
9
An analysis of affective state transitions in survival horror game with the aid of player self-reports and physiological signals
0
10 1
11 5
12
Investigating the transitions between learning and non-learning activities as students learn online
1
13
Deadline and QoS aware data warehouse
2
14
Active mining : second International Workshop, AM 2003, Maebashi, Japan, October 28, 2003 : revised selected papers
1
15
Active Mining: Second International Workshop, AM 2003, Maebashi, Japan, October 28, 2003, Revised Selected Papers (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
4
16 4
17 9
18 8
19
Ordered Estimation of Missing Values for Propositional Learning
6
20
Acquisition of human feelings in music arrangement
11

About Masayuki Numao

Masayuki Numao is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 147 papers that have together received 1.0k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (16 papers), EEG and Brain-Computer Interfaces (14 papers) and Music and Audio Processing (10 papers). The work is most often cited by research in Experimental and Cognitive Psychology (279 citations), Cognitive Neuroscience (353 citations) and Signal Processing (141 citations). Masayuki Numao has collaborated with scholars based in Japan, United States and Philippines. Frequent co-authors include Ken–ichi Fukui, Nattapong Thammasan, Koichi Moriyama, Roberto Legaspi, Shinichi Morishita, Satoshi Kurihara, Boonserm Kijsirikul, Masamichi Shimura, Hiroshi Masuda and Paul Salvador Inventado. Their work appears in journals such as Journal of Power Sources, IEEE Transactions on Industrial Electronics and Expert Systems with Applications.

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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