Seiichi Mita

2.4k citations
133 papers · 2.0k · h-index 24

Impact in

Papers in

Seiichi Mita

126 papers receiving 1.9k citations

Peers

Seiichi Mita
Comparison fields: 5 of 109
  • Automotive Engineering 726
  • Computer Vision and Pattern Recognition 1.2k
  • Aerospace Engineering 498
  • Instrumentation 58
  • Environmental Engineering 233
Replace Denis F. Wolf with:
Denis F. Wolf Brazil
Pietro Cerri Italy
Alexander Carballo Japan
Fernando García Spain
Arturo de la Escalera Spain
Xinyu Zhang China
Martin Lauer Germany
David Stavens United States
Jennifer Dolson United States
Ho Gi Jung South Korea
Seiichi Mita relative to Denis F. Wolf Brazil Denis F. Wolf's profile →
Citations per field
00.5×1.5×
Denis F. Wolf · 1×
Citations per year

Countries citing papers authored by Seiichi Mita

Since Specialization
Citations

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

Fields of papers citing papers by Seiichi Mita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Seiichi Mita, 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 Seiichi Mita Line = papers co-authored together Seiichi Mita links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012126
2 2010116
3 2016101
4 201591
5 201981
6 201470
7 201768
8 201563
9 201760
10 201157
11 201256
12 201652
13 201144
14 201543
15 201539
16 201034
17 201730
18 201629
19 201527
20 202126

About Seiichi Mita

Seiichi Mita is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Aerospace Engineering, Electrical and Electronic Engineering and Artificial Intelligence, having authored 133 papers that have together received 2.0k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (46 papers), Video Surveillance and Tracking Methods (40 papers), Advanced Vision and Imaging (26 papers), Advanced Neural Network Applications (24 papers), Robotics and Sensor-Based Localization (24 papers), Robotic Path Planning Algorithms (15 papers), Image Enhancement Techniques (13 papers) and Remote Sensing and LiDAR Applications (12 papers). The work is most often cited by research in Automotive Engineering (726 citations), Computer Vision and Pattern Recognition (1.2k citations), Aerospace Engineering (498 citations), Instrumentation (58 citations) and Environmental Engineering (233 citations). Seiichi Mita has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Vijay John, Chunzhao Guo, David McAllester, Quoc Huy, Keisuke Yoneda, Hossein Tehrani, Akihiro Takeuchi, Zheng Liu, Bin Qi and Zheng Liu. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Consumer Electronics, Japanese Journal of Applied Physics, IEEE Transactions on Magnetics and IEEE Intelligent Systems.

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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