Sei Ikeda

1.4k citations
65 papers · 1.1k · 1 hit paper · h-index 13

Impact in

Papers in

Sei Ikeda

62 papers receiving 1.0k citations

Sei Ikeda's Hit Papers

Visual SLAM algorithms: a survey from 2010 to 2016 2017 · 534 citations
5340+3+6Years since publication100200300400500

Peers

Sei Ikeda
Comparison fields: 5 of 88
  • Human-Computer Interaction 223
  • Computer Vision and Pattern Recognition 728
  • Geology 164
  • Aerospace Engineering 560
  • Computer Graphics and Computer-Aided Design 45
Replace Andrew I. Comport with:
Andrew I. Comport France
Max Schwarz Germany
Jacopo Aleotti Italy
Hernán Badino United States
Fabien Spindler France
Nick Pears United Kingdom
Dustin Freeman Canada
Cihan Topal Türkiye
Gonzalo López‐Nicolás Spain
Frank Michel Germany
Sei Ikeda relative to Andrew I. Comport France Andrew I. Comport's profile →
Citations per field
00.5×3.9×
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 65 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 →
2017534
2 2017122
3 201340
4 200437
5 200326
6 201120
7 201820
8 201619
9 202219
10 201617
11 200314
12 200414
13 202113
14 200611
15 202110
16 201710
17 20079
18 20198
19 20158
20 20037

About Sei Ikeda

Sei Ikeda is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Aerospace Engineering, Biomedical Engineering and Cognitive Neuroscience, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (21 papers), Robotics and Sensor-Based Localization (15 papers), Virtual Reality Applications and Impacts (12 papers), Advanced Image and Video Retrieval Techniques (12 papers), Augmented Reality Applications (11 papers), Advanced Optical Imaging Technologies (10 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 (223 citations), Computer Vision and Pattern Recognition (728 citations), Geology (164 citations), Aerospace Engineering (560 citations) and Computer Graphics and Computer-Aided Design (45 citations). Sei Ikeda has collaborated with scholars based in Japan, United States and Finland. Frequent co-authors include Takafumi Taketomi, Hideaki Uchiyama, Shohei Mori, Tomokazu Sato, Naokazu Yokoya, Hideo Saitô, Kosuke Sato, Osamu Oshiro, Hiroki Ishizuka and Christian Sandor. Their work appears in journals such as IEEE Access, IEEE Robotics and Automation Letters, Japanese Journal of Applied Physics, Computers & Graphics and Sensors and Actuators A Physical.

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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