Munéo Kitajima

147 total papers · 1.2k total citations
61 papers, 618 citations indexed

About

Munéo Kitajima is a scholar working on Artificial Intelligence, Human-Computer Interaction and Experimental and Cognitive Psychology. According to data from OpenAlex, Munéo Kitajima has authored 61 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 16 papers in Human-Computer Interaction and 12 papers in Experimental and Cognitive Psychology. Recurrent topics in Munéo Kitajima's work include Visual and Cognitive Learning Processes (9 papers), Speech and dialogue systems (8 papers) and Gaze Tracking and Assistive Technology (7 papers). Munéo Kitajima is often cited by papers focused on Visual and Cognitive Learning Processes (9 papers), Speech and dialogue systems (8 papers) and Gaze Tracking and Assistive Technology (7 papers). Munéo Kitajima collaborates with scholars based in Japan, United States and Switzerland. Munéo Kitajima's co-authors include Peter G. Polson, Marilyn Hughes Blackmon, Clayton Lewis, Jérôme Dinet, Haruhiko Takeuchi, J. M. Christian Bastien, Miki Namatame, Yukio Fukui, Katsuko T. Nakahira and Takatsune Kumada and has published in prestigious journals such as International Journal of Human-Computer Studies, Human-Computer Interaction and Behaviour and Information Technology.

In The Last Decade

Munéo Kitajima

55 papers receiving 550 citations

Author Peers

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

Author						Papers	Cites
Munéo Kitajima	227	213	171	71	70	61	618
Mary C. Dyson	179 0.8×	120 0.6×	72 0.4×	67 0.9×	70 1.0×	47	661
Gary Perlman	341 1.5×	168 0.8×	71 0.4×	69 1.0×	69 1.0×	44	673
Ana I. Molina	190 0.8×	230 1.1×	82 0.5×	60 0.8×	56 0.8×	85	648
Yasuhiro Yamamoto	168 0.7×	201 0.9×	66 0.4×	82 1.2×	54 0.8×	27	596
Cengiz Acartürk	69 0.3×	151 0.7×	120 0.7×	37 0.5×	75 1.1×	56	640
Ephraim P. Glinert	213 0.9×	116 0.5×	125 0.7×	166 2.3×	32 0.5×	52	589
Michael Good	241 1.1×	108 0.5×	100 0.6×	76 1.1×	79 1.1×	41	658
Rock Leung	240 1.1×	84 0.4×	71 0.4×	115 1.6×	62 0.9×	28	625
Samer Muthana Sarsam	115 0.5×	97 0.5×	146 0.9×	98 1.4×	26 0.4×	30	527
Yvonne Wærn	107 0.5×	83 0.4×	132 0.8×	32 0.5×	67 1.0×	63	614

Countries citing papers authored by Munéo Kitajima

Since Specialization

Citations

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

Fields of papers citing papers by Munéo Kitajima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Munéo Kitajima

This figure shows the co-authorship network connecting the top 25 collaborators of Munéo Kitajima. A scholar is included among the top collaborators of Munéo Kitajima 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 Munéo Kitajima. Munéo Kitajima 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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