Manuel Rivera

52 papers receiving 1.2k citations

Peers

Manuel Rivera
Comparison fields: 5 of 115
  • Tourism, Leisure and Hospitality Management 130
  • Transportation 183
  • Sociology and Political Science 900
  • Marketing 186
  • Organizational Behavior and Human Resource Management 202
Replace Aaron Tkaczynski with:
Aaron Tkaczynski Australia
José António Fraiz Brea Spain
Soo K. Kang United States
Sandra María Sánchez Cañizares Spain
Glenn McCartney Macao
Antonis L. Theocharous Cyprus
Sandro Formica United States
M. Ángeles Oviedo‐García Spain
Sergio Moreno Gil Spain
Rich Harrill United States
Manuel Rivera relative to Aaron Tkaczynski Australia Aaron Tkaczynski's profile →
Citations per field
00.5×1.5×
Aaron Tkaczynski · 1×
Citations per year

Countries citing papers authored by Manuel Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015145
2 201682
3 201680
4 201576
5 201575
6 201067
7 200753
8 202152
9 201550
10 201046
11 201345
12 201744
13 201536
14 200930
15 200629
16 200728
17 201728
18 201626
19 202123
20 200921

About Manuel Rivera

Manuel Rivera is a scholar working on Sociology and Political Science, Marketing, Tourism, Leisure and Hospitality Management, Strategy and Management and Economics and Econometrics, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diverse Aspects of Tourism Research (27 papers), Sport and Mega-Event Impacts (14 papers), Hospitality and Tourism Education (6 papers), Customer Service Quality and Loyalty (5 papers), Sharing Economy and Platforms (4 papers), Digital Marketing and Social Media (3 papers), Cruise Tourism Development and Management (3 papers) and International Business and FDI (3 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (130 citations), Transportation (183 citations), Sociology and Political Science (900 citations), Marketing (186 citations) and Organizational Behavior and Human Resource Management (202 citations). Manuel Rivera has collaborated with scholars based in United States, Israel and Spain. Frequent co-authors include Robertico Croes, Kelly J. Semrad, Seung Hyun Lee, Amir Shani, Abraham Pizam, Randall S. Upchurch, Amy Gregory, Valeriya Shapoval, Tadayuki Hara and Kevin Murphy. Their work appears in journals such as International Journal of Hospitality Management, International Journal of Contemporary Hospitality Management, Journal of Destination Marketing & Management, Journal of Heritage Tourism and Tourism Economics.

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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