Edu William

6 papers receiving 291 citations

Edu William's Hit Papers

Artificial intelligence’s impact on hospitality and tourism marketing: exploring key themes and addressing challenges 2023 · 216 citations
2160+1+2Years since publication50100150200

Peers

Edu William
Comparison fields: 5 of 37
  • Tourism, Leisure and Hospitality Management 7
  • Marketing 50
  • Artificial Intelligence 148
  • Sociology and Political Science 115
  • Information Systems and Management 19
Replace Selim Bakir with:
Selim Bakir United States
Aslıhan Dursun Cengizci Türkiye
Saad A. Alhoqail Saudi Arabia
Taehyee Um South Korea
Liu Xia China
Christopher Zerres Germany
Antonio Carlos Cuenca Ballester Spain
Kristopher Floyd United States
Matthijs Meire France
Olaf Reinhold Germany
Edu William relative to Selim Bakir United States Selim Bakir's profile →
Citations per field
00.5×2×2.9×
Selim Bakir · 1×
Citations per year

Countries citing papers authored by Edu William

Since Specialization
Citations

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

Fields of papers citing papers by Edu William

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Edu William, 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 Edu William Line = papers co-authored together Edu William links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Artificial intelligence’s impact on hospitality and tourism marketing: exploring key themes and addressing challenges
Hit paper breakdown →
2023216
2 201941
3 202137
4 202311
5 20202
6 20261
7 20250
8 20260
9 20260
10 20260
11 20260

About Edu William

Edu William is a scholar working on Marketing, Industrial and Manufacturing Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Transportation, having authored 11 papers that have together received 308 indexed citations. Recurring topics across this work include AI in Service Interactions (3 papers), Digital Transformation in Industry (2 papers), Digital Marketing and Social Media (2 papers), Augmented Reality Applications (2 papers), Artificial Intelligence Applications (2 papers), Consumer Retail Behavior Studies (1 paper), Transportation Planning and Optimization (1 paper) and Diverse Aspects of Tourism Research (1 paper). The work is most often cited by research in Tourism, Leisure and Hospitality Management (7 citations), Marketing (50 citations), Artificial Intelligence (148 citations), Sociology and Political Science (115 citations) and Information Systems and Management (19 citations). Edu William has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Jacques Bulchand‐Gidumal, Dimitrios Buhalis, Peter O’Connor, José Enrique Bigné Alcañiz, Emilio Soria‐Olivas, Juan Luis Nicolau, Mariano Alcañíz, Javier Marín‐Morales, Jaime Guixeres and Manuel A. Sánchez-Montañés. Their work appears in journals such as Electronics, Current Issues in Tourism, Tourism Management, Smart Cities and Journal of Destination Marketing & Management.

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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