Akiko Ueno

39 total papers · 1.7k total citations
24 papers, 744 citations indexed

About

Akiko Ueno is a scholar working on Management Information Systems, Organizational Behavior and Human Resource Management and Marketing. According to data from OpenAlex, Akiko Ueno has authored 24 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Information Systems, 9 papers in Organizational Behavior and Human Resource Management and 7 papers in Marketing. Recurrent topics in Akiko Ueno's work include Customer Service Quality and Loyalty (9 papers), Quality and Supply Management (5 papers) and Service and Product Innovation (4 papers). Akiko Ueno is often cited by papers focused on Customer Service Quality and Loyalty (9 papers), Quality and Supply Management (5 papers) and Service and Product Innovation (4 papers). Akiko Ueno collaborates with scholars based in United Kingdom, Australia and India. Akiko Ueno's co-authors include Charles Dennis, Justin Paul, Piyush Sharma, Russel Kingshott, Brian P. Mathews, Sanjaya Singh Gaur, Graça Miranda Silva, Francis Kwok, Tauno Kekäle and Andrew Jenkins and has published in prestigious journals such as Journal of Business Research, Computers in Human Behavior and Technological Forecasting and Social Change.

In The Last Decade

Akiko Ueno

24 papers receiving 690 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Akiko Ueno 191 179 168 154 153 24 744
Cameron Guthrie 252 1.3× 327 1.8× 80 0.5× 163 1.1× 135 0.9× 26 881
Oihab Allal‐Chérif 167 0.9× 87 0.5× 90 0.5× 130 0.8× 163 1.1× 36 680
Mona Ashok 174 0.9× 100 0.6× 82 0.5× 110 0.7× 124 0.8× 9 668
Erin E. Makarius 299 1.6× 106 0.6× 209 1.2× 63 0.4× 161 1.1× 21 847
Alessandro Pagano 288 1.5× 100 0.6× 74 0.4× 131 0.9× 84 0.5× 52 775
Muhammad Farrukh Shahzad 119 0.6× 68 0.4× 63 0.4× 113 0.7× 136 0.9× 51 794
Ruwan Bandara 85 0.4× 129 0.7× 57 0.3× 131 0.9× 276 1.8× 21 640
Leonardo Corbo 336 1.8× 158 0.9× 58 0.3× 214 1.4× 185 1.2× 13 848
Sebastian Schuetz 146 0.8× 190 1.1× 39 0.2× 120 0.8× 264 1.7× 24 809
William Y. Degbey 303 1.6× 58 0.3× 194 1.2× 79 0.5× 102 0.7× 23 698

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

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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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