Pei‐Jou Kuo

745 total citations
8 papers, 587 citations indexed

About

Pei‐Jou Kuo is a scholar working on Marketing, Sociology and Political Science and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Pei‐Jou Kuo has authored 8 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Marketing, 4 papers in Sociology and Political Science and 4 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Pei‐Jou Kuo's work include Consumer Behavior in Brand Consumption and Identification (5 papers), Customer Service Quality and Loyalty (4 papers) and Digital Marketing and Social Media (2 papers). Pei‐Jou Kuo is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (5 papers), Customer Service Quality and Loyalty (4 papers) and Digital Marketing and Social Media (2 papers). Pei‐Jou Kuo collaborates with scholars based in United States. Pei‐Jou Kuo's co-authors include Hui Xie, Li Miao, Nelson Barber, Melissa Bishop, Raymond J. Goodman, Valentini Kalargyrou, Michael McCall, Lu Zhang, Lu Zhang and Yao‐Chin Wang and has published in prestigious journals such as International Journal of Hospitality Management, International Journal of Contemporary Hospitality Management and Journal of Consumer Marketing.

In The Last Decade

Pei‐Jou Kuo

8 papers receiving 563 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pei‐Jou Kuo United States 7 392 335 127 126 46 8 587
Mónika‐Anetta Alt Romania 5 446 1.1× 324 1.0× 47 0.4× 149 1.2× 68 1.5× 10 635
Jung‐Hua Chang Taiwan 10 223 0.6× 190 0.6× 183 1.4× 85 0.7× 38 0.8× 17 479
Tariq Jalees Pakistan 11 223 0.6× 372 1.1× 101 0.8× 152 1.2× 32 0.7× 54 569
Amélia Brandão Portugal 12 392 1.0× 447 1.3× 108 0.9× 69 0.5× 35 0.8× 40 606
Kenny Basso Brazil 15 272 0.7× 317 0.9× 222 1.7× 153 1.2× 44 1.0× 63 638
GuoQiong Ivanka Huang China 14 321 0.8× 257 0.8× 146 1.1× 43 0.3× 36 0.8× 25 493
Nuria Huete-Alcocer Spain 10 469 1.2× 184 0.5× 84 0.7× 77 0.6× 33 0.7× 24 632
Jitender Kumar India 12 572 1.5× 449 1.3× 210 1.7× 154 1.2× 20 0.4× 16 686
Umar Iqbal Siddiqi Pakistan 13 325 0.8× 234 0.7× 159 1.3× 98 0.8× 72 1.6× 22 530
Irina Y. Yu Hong Kong 10 300 0.8× 302 0.9× 105 0.8× 85 0.7× 29 0.6× 18 511

Countries citing papers authored by Pei‐Jou Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Jou Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei‐Jou Kuo. 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 Pei‐Jou Kuo. The network helps show where Pei‐Jou Kuo may publish in the future.

Co-authorship network of co-authors of Pei‐Jou Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Pei‐Jou Kuo. A scholar is included among the top collaborators of Pei‐Jou Kuo 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 Pei‐Jou Kuo. Pei‐Jou Kuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Kuo, Pei‐Jou & Lu Zhang. (2021). The Impact of Hotel Room Colors on Affective Responses, Attitude, and Booking Intention. International Journal of Hospitality & Tourism Administration. 24(3). 314–334. 12 indexed citations
2.
Zhang, Lu, Pei‐Jou Kuo, & Michael McCall. (2019). Microcelebrity: The Impact of Information Source, Hotel Type, and Misleading Photos on Consumers’ Responses. Cornell Hospitality Quarterly. 60(4). 285–297. 22 indexed citations
3.
Huang, Yu‐Shan, Yao‐Chin Wang, & Pei‐Jou Kuo. (2018). Face Gain and Face Loss in Restaurant Consumers’ Brand Advocate Behaviors. Journal of Hospitality & Tourism Research. 43(3). 395–415. 10 indexed citations
4.
Kalargyrou, Valentini, Nelson Barber, & Pei‐Jou Kuo. (2018). The impact of disability on guests’ perceptions of service quality delivery in the hospitality industry. International Journal of Contemporary Hospitality Management. 30(12). 3632–3655. 38 indexed citations
5.
Kuo, Pei‐Jou & Nelson Barber. (2014). Exploring Dishware Influences on Product Evaluation, Willingness to Pay, and Restaurant Type. Journal of Foodservice Business Research. 17(5). 369–389. 5 indexed citations
6.
Kuo, Pei‐Jou & Valentini Kalargyrou. (2013). Consumers' perspectives on service staff with disabilities in the hospitality industry. International Journal of Contemporary Hospitality Management. 26(2). 164–182. 50 indexed citations
7.
Barber, Nelson, Pei‐Jou Kuo, Melissa Bishop, & Raymond J. Goodman. (2012). Measuring psychographics to assess purchase intention and willingness to pay. Journal of Consumer Marketing. 29(4). 280–292. 166 indexed citations
8.
Xie, Hui, et al.. (2010). Consumers’ responses to ambivalent online hotel reviews: The role of perceived source credibility and pre-decisional disposition. International Journal of Hospitality Management. 30(1). 178–183. 284 indexed citations

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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