Fumio Mizoguchi

64 papers receiving 372 citations

Peers

Fumio Mizoguchi
Comparison fields: 5 of 64
  • Artificial Intelligence 186
  • Computer Vision and Pattern Recognition 95
  • Computer Networks and Communications 77
  • Social Psychology 61
  • Control and Systems Engineering 52
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Countries citing papers authored by Fumio Mizoguchi

Since Specialization
Citations

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

Fields of papers citing papers by Fumio Mizoguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fumio Mizoguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Fumio Mizoguchi. A scholar is included among the top collaborators of Fumio Mizoguchi 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 Fumio Mizoguchi. Fumio Mizoguchi 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 6
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Cog-tracker: A new tool for detecting distracted car driving using eye-movement and driving data on a tablet PC
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Extracting rules to detect cognitive distractions through driving simulation.
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5
Design and implementation of a new tool for detecting distracted car driving using eye movement and driving data on a tablet pc
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6
Temporal discretization method and Naïve Bayes Classifier for classifying car driver's cognitive load
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7 17
8 10
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Verification of Driving Workload Using Vehicle Signal Data for Distraction-Minimized Systems on ITS
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10 5
11 0
12 2
13 5
14 22
15 8
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A constraint logic programming approach for maintaining consistency in user-interface design
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An Examination for Applicability of FGHC: The Experience of Designing Qualitative Reasoning System.
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Qualitative Simulation in Parallel Logic Programming.
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19 7
20 7

About Fumio Mizoguchi

Fumio Mizoguchi is a scholar working on Human-Computer Interaction, Artificial Intelligence and Signal Processing, having authored 72 papers that have together received 397 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (10 papers), Human-Automation Interaction and Safety (10 papers) and Cognitive Computing and Networks (8 papers). The work is most often cited by research in Human-Computer Interaction (45 citations), Artificial Intelligence (186 citations) and Computer Vision and Pattern Recognition (95 citations). Fumio Mizoguchi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hironori Hiraishi, Hirotoshi Iwasaki, Hiroyuki Nishiyama, Hayato Ohwada, Akira Yoshizawa, Wenjun Wu, Yingxu Wang, Shusaku Tsumoto, Victor Raskin and Wataru Yamazaki. Their work appears in journals such as Artificial Intelligence, Future Generation Computer Systems and Theoretical Computer Science.

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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