Dan Mikami

648 citations
58 papers · 460 · h-index 12

Impact in

Papers in

    • Advanced Vision and Imaging 21
    • Human Pose and Action Recognition 10
    • Optical measurement and interference techniques 8
    • Video Analysis and Summarization 7
    • Video Surveillance and Tracking Methods 7
    • Generative Adversarial Networks and Image Synthesis 5

Dan Mikami

50 papers receiving 435 citations

Peers

Dan Mikami
Comparison fields: 5 of 80
  • Human-Computer Interaction 80
  • Computer Vision and Pattern Recognition 211
  • Signal Processing 79
  • Experimental and Cognitive Psychology 40
  • Artificial Intelligence 102
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Ifeoma Nwogu United States
Hyeokhyen Kwon United States
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Liliana Lo Presti Italy
Irene Albrecht Germany
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Ronan Flynn Ireland
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Citations per field
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Citations per year

Countries citing papers authored by Dan Mikami

Since Specialization
Citations

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

Fields of papers citing papers by Dan Mikami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Mikami, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dan Mikami Line = papers co-authored together Dan Mikami links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201164
2 200934
3 201834
4 200425
5 201524
6 201823
7 201821
8 201720
9 201117
10 201917
11 201012
12 201812
13 200911
14 201210
15 201710
16 20189
17 20099
18 20188
19 20218
20 20188

About Dan Mikami

Dan Mikami is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Cognitive Neuroscience and Human-Computer Interaction, having authored 58 papers that have together received 460 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (21 papers), Human Pose and Action Recognition (10 papers), Optical measurement and interference techniques (8 papers), Speech and Audio Processing (8 papers), Video Analysis and Summarization (7 papers), Video Surveillance and Tracking Methods (7 papers), Virtual Reality Applications and Impacts (5 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). The work is most often cited by research in Human-Computer Interaction (80 citations), Computer Vision and Pattern Recognition (211 citations), Signal Processing (79 citations), Experimental and Cognitive Psychology (40 citations) and Artificial Intelligence (102 citations). Dan Mikami has collaborated with scholars based in Japan, United States and Austria. Frequent co-authors include Mariko Isogawa, Junji Yamato, Kazuhiro Otsuka, Kosuke Takahashi, Hideaki Kimata, Shiro Kumano, Hideo Saitô, Masafumi Matsuda, Akira Kojima and Shoko Araki. Their work appears in journals such as Multimedia Tools and Applications, IEEE Access, IEEE Transactions on Audio Speech and Language Processing, Analytical Chemistry and IEICE Transactions on Electronics.

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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