Sumesh Nair
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Online Learning and Analytics
Papers in
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- Digital Marketing and Social Media 2
- Diverse Aspects of Tourism Research 1
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- Customer Service Quality and Loyalty 2
- Co-authors
- Tareq Rasul (4 shared papers)Fernando de Oliveira Santini (4 shared papers)Wagner Júnior Ladeira (4 shared papers)Raouf Ahmad Rather (2 shared papers)Mingwei Sun (1 shared paper)Mulyadi Robin (1 shared paper)Nelson Oly Ndubisi (1 shared paper)M.S. Balaji (1 shared paper)
- Journals
- Tourism Recreation Research (1 paper)Journal of Destination Marketing & Management (1 paper)The International Journal of Management Education (1 paper)Journal of Global Scholars of Marketing Science (1 paper)Journal of Applied Learning & Teaching (1 paper)
In The Last Decade
Sumesh Nair
5 papers receiving 364 citations
Sumesh Nair's Hit Papers
Peers
Comparison fields: 5 of 64
- Health Informatics 191
- Computer Science Applications 142
- Artificial Intelligence 146
- Safety Research 36
- Information Systems and Management 18
Countries citing papers authored by Sumesh Nair
This map shows the geographic impact of Sumesh Nair'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 Sumesh Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumesh Nair more than expected).
Fields of papers citing papers by Sumesh Nair
This network shows the impact of papers produced by Sumesh Nair. 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 Sumesh Nair. The network helps show where Sumesh Nair may publish in the future.
Co-authors
The 14 scholars most cited alongside Sumesh Nair, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The role of ChatGPT in higher education: Benefits, challenges, and future research directions Hit paper breakdown → | 2023 | 335 |
| 2 | 2024 | 27 | |
| 3 | 2022 | 18 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 4 |
About Sumesh Nair
Sumesh Nair is a scholar working on Sociology and Political Science, Organizational Behavior and Human Resource Management, Marketing, Information Systems and Management and Health Informatics, having authored 5 papers that have together received 390 indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (2 papers), Digital Marketing and Social Media (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Behavioral Health and Interventions (1 paper), Academic integrity and plagiarism (1 paper), Diverse Aspects of Tourism Research (1 paper), Consumer Behavior in Brand Consumption and Identification (1 paper) and Cruise Tourism Development and Management (1 paper). The work is most often cited by research in Health Informatics (191 citations), Computer Science Applications (142 citations), Artificial Intelligence (146 citations), Safety Research (36 citations) and Information Systems and Management (18 citations). Sumesh Nair has collaborated with scholars based in Australia, Brazil and India. Frequent co-authors include Tareq Rasul, Fernando de Oliveira Santini, Wagner Júnior Ladeira, Raouf Ahmad Rather, Mingwei Sun, Mulyadi Robin, Nelson Oly Ndubisi, M.S. Balaji, Md. Wahid Murad and Naveed Yasin. Their work appears in journals such as Tourism Recreation Research, Journal of Destination Marketing & Management, The International Journal of Management Education, Journal of Global Scholars of Marketing Science and Journal of Applied Learning & Teaching.
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.