Kimiko Ryokai

77 total papers · 2.8k total citations
60 papers, 2.0k citations indexed

About

Kimiko Ryokai is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Kimiko Ryokai has authored 60 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Human-Computer Interaction, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Information Systems. Recurrent topics in Kimiko Ryokai's work include Innovative Human-Technology Interaction (38 papers), Interactive and Immersive Displays (23 papers) and Augmented Reality Applications (10 papers). Kimiko Ryokai is often cited by papers focused on Innovative Human-Technology Interaction (38 papers), Interactive and Immersive Displays (23 papers) and Augmented Reality Applications (10 papers). Kimiko Ryokai collaborates with scholars based in United States, Germany and Japan. Kimiko Ryokai's co-authors include Justine Cassell, Laura Devendorf, Daniela K. Rosner, Noura Howell, Hiroshi Ishii, Stefan Marti, Catherine Vaucelle, Ken Goldberg, Siamak Faridani and Eric Paulos and has published in prestigious journals such as Educational Technology Research and Development, Journal of Computer Assisted Learning and Personal and Ubiquitous Computing.

In The Last Decade

Kimiko Ryokai

58 papers receiving 1.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kimiko Ryokai	1.2k	336	328	249	237	60	2.0k
Oren Zuckerman	821 0.7×	242 0.7×	278 0.8×	279 1.1×	500 2.1×	75	1.9k
Martin Schrepp	770 0.7×	318 0.9×	194 0.6×	194 0.8×	337 1.4×	82	2.2k
Lisa Anthony	974 0.8×	308 0.9×	585 1.8×	258 1.0×	99 0.4×	98	1.9k
Berry Eggen	909 0.8×	275 0.8×	215 0.7×	194 0.8×	452 1.9×	102	1.9k
Celine Latulipe	540 0.5×	300 0.9×	208 0.6×	271 1.1×	140 0.6×	97	2.0k
Joanna McGrenere	1.3k 1.1×	511 1.5×	549 1.7×	127 0.5×	329 1.4×	108	2.8k
Jörg Thomaschewski	715 0.6×	303 0.9×	171 0.5×	138 0.6×	310 1.3×	82	2.3k
Jean‐Marie Burkhardt	634 0.5×	211 0.6×	368 1.1×	159 0.6×	260 1.1×	106	1.9k
Steve Howard	1.2k 1.0×	216 0.6×	208 0.6×	225 0.9×	245 1.0×	91	2.8k
Sri Kurniawan	705 0.6×	266 0.8×	426 1.3×	136 0.5×	146 0.6×	106	2.0k

Countries citing papers authored by Kimiko Ryokai

Since Specialization

Citations

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

Fields of papers citing papers by Kimiko Ryokai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimiko Ryokai

This figure shows the co-authorship network connecting the top 25 collaborators of Kimiko Ryokai. A scholar is included among the top collaborators of Kimiko Ryokai 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 Kimiko Ryokai. Kimiko Ryokai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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