Naomi Aoki

27 papers receiving 515 citations

Naomi Aoki's Hit Papers

An experimental study of public trust in AI chatbots in the public sector 2020 · 205 citations
2050+2+4Years since publication50100150200

Peers

Naomi Aoki
Comparison fields: 5 of 103
  • Health Informatics 23
  • Public Administration 61
  • Safety Research 96
  • Management Information Systems 49
  • Sociology and Political Science 207
Replace Agneta Ranerup with:
Agneta Ranerup Sweden
Hans Torvatn Norway
Adalmir de Oliveira Gomes Brazil
Tara Qian Sun China
J.E.J. Prins Netherlands
James Duggan Ireland
Jeroen Wolbers Netherlands
Stefaan Verhulst United States
Aizhan Tursunbayeva Italy
Guangyuan Hu China
Naomi Aoki relative to Agneta Ranerup Sweden Agneta Ranerup's profile →
Citations per field
00.5×3.8×
Agneta Ranerup · 1×
Citations per year

Countries citing papers authored by Naomi Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Naomi Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An experimental study of public trust in AI chatbots in the public sector
Hit paper breakdown →
2020205
2 202071
3 201569
4 201725
5 201722
6 201419
7 201319
8 202318
9 202114
10 202413
11 201610
12 20199
13 20208
14 20167
15 20127
16 20217
17 20157
18 20176
19 20126
20 20145

About Naomi Aoki

Naomi Aoki is a scholar working on Sociology and Political Science, Public Administration, Political Science and International Relations, Hematology and Strategy and Management, having authored 30 papers that have together received 561 indexed citations. Recurring topics across this work include Public Policy and Administration Research (9 papers), Disaster Management and Resilience (6 papers), Local Government Finance and Decentralization (4 papers), Socioeconomic Development in Asia (3 papers), Ethics and Social Impacts of AI (3 papers), Multiple Myeloma Research and Treatments (3 papers), Flood Risk Assessment and Management (2 papers) and Nonprofit Sector and Volunteering (2 papers). The work is most often cited by research in Health Informatics (23 citations), Public Administration (61 citations), Safety Research (96 citations), Management Information Systems (49 citations) and Sociology and Political Science (207 citations). Naomi Aoki has collaborated with scholars based in Singapore, Australia and Japan. Frequent co-authors include Louise Phillips, Ian Elliott, Edmund C. Stazyk, Larry Schroeder, Zoe McQuilten, Amanda J. Zatta, Joanne Enticott, James P. Isbister, Nick Andrianopoulos and Erica M. Wood. Their work appears in journals such as Blood, International Journal of Public Administration, Public Administration, Government Information Quarterly and The American Review of Public Administration.

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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