Kumiko Aoki

39 papers receiving 668 citations

Peers

Kumiko Aoki
Comparison fields: 5 of 127
  • Computer Science Applications 68
  • Information Systems and Management 68
  • Health Informatics 11
  • Communication 59
  • Education 224
Replace Greg Thompson with:
Greg Thompson Australia
Younghwa Lee South Korea
Emily C. Johnson United States
Zhang Hai China
John McCarthy United States
Diane Hamilton United States
Esther Oliver Spain
Michael B. Horn Germany
Zippy Erlich Israel
Patrick Smith United States
Kumiko Aoki relative to Greg Thompson Australia Greg Thompson's profile →
Citations per field
00.5×2.8×
Greg Thompson · 1×
Citations per year

Countries citing papers authored by Kumiko Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Kumiko Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kumiko Aoki, 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 Kumiko Aoki Line = papers co-authored together Kumiko Aoki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003191
2 200879
3 200366
4 200240
5
Virtual University Reference Model: A Guide to Delivering Education and Support Services to the Distance Learner
199835
6 200734
7 201034
8 200633
9 202030
10 202425
11 200424
12 199722
13 200722
14 199820
15 201219
16 200812
17 20099
18 20008
19 20116
20
Japanese Higher Education Institutions in the 21st Century: The Challenge of Globalization and Internationalization
20056

About Kumiko Aoki

Kumiko Aoki is a scholar working on Education, Surgery, Oncology, Developmental and Educational Psychology and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 760 indexed citations. Recurring topics across this work include Online and Blended Learning (10 papers), Innovative Teaching and Learning Methods (7 papers), Drug Transport and Resistance Mechanisms (4 papers), Head and Neck Cancer Studies (3 papers), Open Education and E-Learning (3 papers), Head and Neck Surgical Oncology (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Computer Science Applications (68 citations), Information Systems and Management (68 citations), Health Informatics (11 citations), Communication (59 citations) and Education (224 citations). Kumiko Aoki has collaborated with scholars based in Japan, United States and Türkiye. Frequent co-authors include Edward J. Downes, Keiji Wada, Etsuko Wada, Shunsuke Aoki, Insung Jung, Colin Latchem, Yingjie Sun, Takao Kurosawa, Ljubiša Bojić and Xiaoming Zhaı. Their work appears in journals such as Biochemical and Biophysical Research Communications, The International Review of Research in Open and Distributed Learning, Telecommunications Policy, British Journal of Educational Technology and Medicine.

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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