Masahiko İnami

5.7k total citations
305 papers, 3.7k citations indexed

About

Masahiko İnami is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Masahiko İnami has authored 305 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 191 papers in Human-Computer Interaction, 110 papers in Cognitive Neuroscience and 104 papers in Computer Vision and Pattern Recognition. Recurrent topics in Masahiko İnami's work include Interactive and Immersive Displays (107 papers), Tactile and Sensory Interactions (90 papers) and Virtual Reality Applications and Impacts (75 papers). Masahiko İnami is often cited by papers focused on Interactive and Immersive Displays (107 papers), Tactile and Sensory Interactions (90 papers) and Virtual Reality Applications and Impacts (75 papers). Masahiko İnami collaborates with scholars based in Japan, United States and Singapore. Masahiko İnami's co-authors include Maki Sugimoto, Susumu Tachi, Takeo Igarashi, Yuta Sugiura, Naoki Kawakami, Daisuke Sakamoto, Kouta Minamizawa, Kai Kunze, Dairoku Sekiguchi and Tomoya Sasaki and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Masahiko İnami

285 papers receiving 3.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Masahiko İnami Japan 33 2.3k 1.4k 1.2k 672 519 305 3.7k
Michitaka Hirose Japan 31 2.0k 0.9× 1.6k 1.1× 712 0.6× 588 0.9× 490 0.9× 302 3.5k
Robert W. Lindeman New Zealand 30 2.5k 1.1× 1.2k 0.9× 1.2k 1.0× 436 0.6× 586 1.1× 174 3.5k
Mary C. Whitton United States 36 4.1k 1.8× 1.9k 1.3× 1.6k 1.4× 620 0.9× 896 1.7× 94 5.4k
Susumu Tachi Japan 36 2.0k 0.9× 2.4k 1.6× 907 0.8× 1.4k 2.1× 275 0.5× 341 4.8k
Christian Holz Switzerland 37 3.4k 1.5× 2.5k 1.7× 1.3k 1.1× 759 1.1× 262 0.5× 141 4.6k
Frank Steinicke Germany 39 4.0k 1.7× 1.8k 1.2× 1.7k 1.4× 392 0.6× 686 1.3× 290 5.2k
Sean Follmer United States 37 2.8k 1.2× 2.2k 1.5× 803 0.7× 1.5k 2.2× 281 0.5× 97 4.2k
Jun Rekimoto Japan 44 5.3k 2.3× 2.8k 2.0× 3.1k 2.7× 720 1.1× 359 0.7× 264 7.3k
Roel Vertegaal Canada 31 2.7k 1.2× 1.6k 1.1× 1.1k 1.0× 346 0.5× 538 1.0× 140 3.7k
Chris Harrison United States 49 5.3k 2.3× 4.2k 3.0× 1.9k 1.7× 583 0.9× 280 0.5× 152 7.4k

Countries citing papers authored by Masahiko İnami

Since Specialization
Citations

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

Fields of papers citing papers by Masahiko İnami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahiko İnami

This figure shows the co-authorship network connecting the top 25 collaborators of Masahiko İnami. A scholar is included among the top collaborators of Masahiko İnami 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 Masahiko İnami. Masahiko İnami 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
1.
Nakajima, Keiji, Takumi Higaki, Takashi Ueda, & Masahiko İnami. (2023). Gaining New Insights in Plant Biology through Human–Machine Collaboration. Plant and Cell Physiology. 64(11). 1257–1261. 1 indexed citations
2.
Kubota, Yuki, Shigeo Yoshida, & Masahiko İnami. (2023). Apparent color picker: color prediction model to extract apparent color in photos. SHILAP Revista de lepidopterología. 3.
3.
Goh, Tatsuaki, Yohei Kondo, Shunsuke Miyashima, et al.. (2023). In-Depth Quantification of Cell Division and Elongation Dynamics at the Tip of Growing Arabidopsis Roots Using 4D Microscopy, AI-Assisted Image Processing and Data Sonification. Plant and Cell Physiology. 64(11). 1262–1278. 13 indexed citations
4.
Seaborn, Katie, et al.. (2020). Perceptual simultaneity and its modulation during EMG-triggered motion induction with electrical muscle stimulation. PLoS ONE. 15(8). e0236497–e0236497. 8 indexed citations
5.
Plecher, David A., et al.. (2019). Physical Objects in AR Games – Offering a Tangible Experience. 1801–1806. 7 indexed citations
6.
Sato, Kosuke, et al.. (2018). Superhuman Sports Games in Laval Virtual. EPiC series in engineering. 1. 60–50. 1 indexed citations
7.
Sugiura, Yuta, et al.. (2015). Gravitamine spice: A system that changes the perception of eating through virtual weight sensation. 11. 33–40. 2 indexed citations
8.
Hashimoto, Sunao, Akihiko Ishida, Masahiko İnami, & Takeo Igarashi. (2012). 2P1-M04 TouchMe : Remote Robot Control Based on Augmented Reality(VR and Interface). The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2012(0). _2P1–M04_1. 10 indexed citations
9.
Sato, Ayaka, et al.. (2012). 2P1-M02 smoon : Automatic transform measure spoon based on recipe data(VR and Interface). The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2012(0). _2P1–M02_1. 1 indexed citations
10.
İnami, Masahiko, Jun Rekimoto, Hideki Koike, & Hideo Saitô. (2011). Proceedings of the 2nd Augmented Human International Conference. 42(365). 175–175. 10 indexed citations
11.
Shen, Victor R.L., Henry Been‐Lirn Duh, Masahiko İnami, Michael Haller, & Yoshifumi Kitamura. (2010). Proceedings of the 7th International Conference on Advances in Computer Entertainment Technology. 3 indexed citations
12.
Hashimoto, Sunao, et al.. (2010). Photograph-based interaction for teaching object delivery tasks to robots. Human-Robot Interaction. 153–154. 3 indexed citations
13.
Tokiwa, T, et al.. (2008). The hands-on exhibitions for emerging science and technology on museum. 2008(62). 33–37. 1 indexed citations
14.
Nii, Hideaki, et al.. (2007). Optical Interface using LED array projector. 12(2). 109–117. 3 indexed citations
15.
Shiroma, Naoji, et al.. (2005). Synthesized Scene Recollection for Vehicle Teleoperation. Transactions of the Society of Instrument and Control Engineers. 41(12). 1036–1043. 5 indexed citations
16.
Tanaka, Kenji, et al.. (2004). TWISTER: an immersive autostereoscopic display. 59–278. 10 indexed citations
17.
Tanaka, Kenji, et al.. (2004). TWISTER III: A Panoramic Autostereo Display for Motion Pictures. The Journal of The Institute of Image Information and Television Engineers. 58(6). 819–826. 1 indexed citations
18.
Ogawa, Naoko, et al.. (2001). Three-Dimensional Image Information Media. Immersive Autostereoscopic Display, TWISTER I(Telexistence Wide-angle Immersive STEReoscope Model I).. The Journal of The Institute of Image Information and Television Engineers. 55(5). 671–677. 1 indexed citations
19.
İnami, Masahiko, et al.. (2001). Object - oriented Tele - communication using RobotPHONE. 2001(87). 147–150. 1 indexed citations
20.
Tanaka, Kenji, et al.. (2001). The Design and Development of TWISTER II: Immersive Full-color Autostereoscopic Display. 4 indexed citations

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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