Sei Ikeda

1.4k citations
58 papers · 924 · 1 hit paper · h-index 12

Impact in

Papers in

Sei Ikeda

54 papers receiving 894 citations

Sei Ikeda's Hit Papers

Visual SLAM algorithms: a survey from 2010 to 2016 2017 · 496 citations
4960+3+6Years since publication100200300400

Peers

Sei Ikeda
Comparison fields: 5 of 85
  • Human-Computer Interaction 202
  • Computer Vision and Pattern Recognition 614
  • Geology 138
  • Aerospace Engineering 477
  • Computer Graphics and Computer-Aided Design 32
Replace Andrew I. Comport with:
Andrew I. Comport France
Fabien Spindler France
Max Schwarz Germany
Cihan Topal Türkiye
Gonzalo López‐Nicolás Spain
Hernán Badino United States
Dustin Freeman Canada
Nick Pears United Kingdom
Chi Xu China
Jingchuan Wang China
Sei Ikeda relative to Andrew I. Comport France Andrew I. Comport's profile →
Citations per field
00.5×4.6×
Andrew I. Comport · 1×
Citations per year

Countries citing papers authored by Sei Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Sei Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sei Ikeda, 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 Sei Ikeda Line = papers co-authored together Sei Ikeda 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
Visual SLAM algorithms: a survey from 2010 to 2016
Hit paper breakdown →
2017496
2 2017107
3 201336
4 200324
5 201619
6 201818
7 202217
8 201117
9 201616
10 202113
11 200412
12 200311
13 20179
14 20218
15 20158
16 20197
17 20067
18 20226
19 20076
20 20165

About Sei Ikeda

Sei Ikeda is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Biomedical Engineering, Cognitive Neuroscience and Aerospace Engineering, having authored 58 papers that have together received 924 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (16 papers), Robotics and Sensor-Based Localization (11 papers), Virtual Reality Applications and Impacts (11 papers), Advanced Optical Imaging Technologies (10 papers), Augmented Reality Applications (10 papers), Advanced Image and Video Retrieval Techniques (9 papers), Interactive and Immersive Displays (7 papers) and Tactile and Sensory Interactions (7 papers). The work is most often cited by research in Human-Computer Interaction (202 citations), Computer Vision and Pattern Recognition (614 citations), Geology (138 citations), Aerospace Engineering (477 citations) and Computer Graphics and Computer-Aided Design (32 citations). Sei Ikeda has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Takafumi Taketomi, Hideaki Uchiyama, Shohei Mori, Hideo Saitô, Naokazu Yokoya, Tomokazu Sato, Kosuke Sato, Hiroki Ishizuka, Osamu Oshiro and Christian Sandor. Their work appears in journals such as IEEE Access, Japanese Journal of Applied Physics, IEEE Robotics and Automation Letters, Sensors and Actuators A Physical and ITE Transactions on Media Technology and 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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