Akiko Ueno

24 papers receiving 713 citations

Hit Papers

ChatGPTand consumers: Benefits, Pitfalls and Future Resea...20232026202420252023202450100150200

Peers

Akiko Ueno
Comparison fields: 5 of 112
  • Strategy and Management 194
  • Management Information Systems 179
  • Organizational Behavior and Human Resource Management 170
  • Marketing 158
  • Sociology and Political Science 157
Replace Oihab Allal‐Chérif with:
Oihab Allal‐Chérif France
Muhammad Farrukh Shahzad China
Stella Pachidi United Kingdom
Sebastian Krakowski Sweden
Erin E. Makarius United States
Mona Ashok United Kingdom
Anton Joha Netherlands
Fadi Abdelfattah Oman
Abu Muna Almaududi Ausat Indonesia
Kim South Korea
Akiko Ueno relative to Oihab Allal‐Chérif France Oihab Allal‐Chérif's profile →
Citations per field
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Oihab Allal‐Chérif · 1×
Citations per year

Countries citing papers authored by Akiko Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Ueno

This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Ueno. A scholar is included among the top collaborators of Akiko Ueno 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 Akiko Ueno. Akiko Ueno 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
#WorkIndexed citations
1 1
2 2
3
Digital transformation: A multidisciplinary perspective and future research agendabreakdown →
73
4 6
5 34
6
ChatGPTand consumers: Benefits, Pitfalls and Future Research Agendabreakdown →
208
7 12
8 8
9 21
10 45
11 72
12 5
13 8
14 2
15 34
16 7
17 17
18 22
19 54
20 44

About Akiko Ueno

Akiko Ueno is a scholar working on Management Information Systems, Organizational Behavior and Human Resource Management and Marketing, having authored 24 papers that have together received 768 indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (9 papers), Quality and Supply Management (5 papers) and Outsourcing and Supply Chain Management (4 papers). The work is most often cited by research in Health Informatics (73 citations), Management Information Systems (179 citations) and Marketing (158 citations). Akiko Ueno has collaborated with scholars based in United Kingdom, Australia and India. Frequent co-authors include Charles Dennis, Justin Paul, Piyush Sharma, Russel Kingshott, Francis Kwok, Sanjaya Singh Gaur, Brian P. Mathews, Graça Miranda Silva, Tauno Kekäle and Andrew Jenkins. Their work appears in journals such as Journal of Business Research, Computers in Human Behavior and Technological Forecasting and Social Change.

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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