Smitha Nayak
Impact in
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- Consumer Behavior in Brand Consumption and Identification
- Consumer Retail Behavior Studies
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- Biometric Identification and Security
Papers in
- Marketing 12
- Consumer Retail Behavior Studies 7
- Consumer Behavior in Brand Consumption and Identification 4
- Environmental Sustainability in Business 3
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- Digital Marketing and Social Media 3
- Co-authors
- Vinod C Nayak (4 shared papers)G. Pradeep Kumar (1 shared paper)Prateek Rastogi (1 shared paper)Stany W. Lobo (1 shared paper)Ritesh G. Menezes (2 shared papers)Yogesh Kumar Sharma (3 shared papers)K. Yoganarasimha (1 shared paper)Nageshkumar Rao (1 shared paper)
In The Last Decade
Smitha Nayak
26 papers receiving 164 citations
Peers
Comparison fields: 5 of 77
- Marketing 31
- Signal Processing 35
- Developmental Biology 5
- Information Systems and Management 15
- Genetics 49
Countries citing papers authored by Smitha Nayak
This map shows the geographic impact of Smitha Nayak'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 Smitha Nayak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Smitha Nayak more than expected).
Fields of papers citing papers by Smitha Nayak
This network shows the impact of papers produced by Smitha Nayak. 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 Smitha Nayak. The network helps show where Smitha Nayak may publish in the future.
Co-authors
The 22 scholars most cited alongside Smitha Nayak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 58 | |
| 2 | 2022 | 18 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 11 | |
| 5 | 2021 | 9 | |
| 6 | 2024 | 7 | |
| 7 | 2017 | 6 | |
| 8 | 2017 | 6 | |
| 9 | Cybercrime: A threat to Network Security | 2012 | 5 |
| 10 | 2021 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2019 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2006 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2023 | 2 |
About Smitha Nayak
Smitha Nayak is a scholar working on Marketing, Sociology and Political Science, Information Systems, Artificial Intelligence and Management, Monitoring, Policy and Law, having authored 31 papers that have together received 176 indexed citations. Recurring topics across this work include Consumer Retail Behavior Studies (7 papers), Consumer Behavior in Brand Consumption and Identification (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Digital Marketing and Social Media (3 papers), Technology Adoption and User Behaviour (3 papers), Environmental Sustainability in Business (3 papers), Forensic and Genetic Research (2 papers) and Customer Service Quality and Loyalty (2 papers). The work is most often cited by research in Marketing (31 citations), Signal Processing (35 citations), Developmental Biology (5 citations), Information Systems and Management (15 citations) and Genetics (49 citations). Smitha Nayak has collaborated with scholars based in India, Romania and Bahrain. Frequent co-authors include Vinod C Nayak, G. Pradeep Kumar, Prateek Rastogi, Stany W. Lobo, Ritesh G. Menezes, Yogesh Kumar Sharma, K. Yoganarasimha, Nageshkumar Rao, Tanuj Kanchan and B. Suresh Kumar Shetty. Their work appears in journals such as F1000Research, Applied Spectroscopy Reviews, Journal of Forensic and Legal Medicine, Journal of Fashion Marketing and Management and Journal of Biophotonics.
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.