Mohd Azhar
Impact in
- Marketing top 10%
- Consumer Behavior in Brand Consumption and Identification
Papers in
-
- Digital Marketing and Social Media 14
- Marketing 12
- Consumer Behavior in Brand Consumption and Identification 9
- Consumer Retail Behavior Studies 4
- Co-authors
- Sheeba Hamid (7 shared papers)Sujood Sujood (7 shared papers)Mohd Nayyer Rahman (6 shared papers)Debojyoti Chakraborty (4 shared papers)Souvik Maiti (4 shared papers)Ghulamuddin Sofi (2 shared papers)Hashmat Imam (2 shared papers)Azad Hussain (2 shared papers)
In The Last Decade
Mohd Azhar
38 papers receiving 551 citations
Peers
Comparison fields: 5 of 112
- Business and International Management 22
- Marketing 77
- Information Systems and Management 53
- Complementary and alternative medicine 32
- Organizational Behavior and Human Resource Management 36
Countries citing papers authored by Mohd Azhar
This map shows the geographic impact of Mohd Azhar'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 Mohd Azhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohd Azhar more than expected).
Fields of papers citing papers by Mohd Azhar
This network shows the impact of papers produced by Mohd Azhar. 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 Mohd Azhar. The network helps show where Mohd Azhar may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohd Azhar, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 72 | |
| 2 | 2021 | 59 | |
| 3 | 2022 | 54 | |
| 4 | 2023 | 51 | |
| 5 | 2022 | 38 | |
| 6 | 2013 | 31 | |
| 7 | 2018 | 24 | |
| 8 | 2023 | 17 | |
| 9 | 2021 | 17 | |
| 10 | 2022 | 17 | |
| 11 | 2020 | 17 | |
| 12 | 2022 | 16 | |
| 13 | 2013 | 15 | |
| 14 | 2024 | 15 | |
| 15 | 2023 | 12 | |
| 16 | 2015 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2023 | 9 | |
| 20 | 2022 | 8 |
About Mohd Azhar
Mohd Azhar is a scholar working on Sociology and Political Science, Marketing, Organizational Behavior and Human Resource Management, Molecular Biology and Information Systems and Management, having authored 47 papers that have together received 566 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (14 papers), Consumer Behavior in Brand Consumption and Identification (9 papers), Technology Adoption and User Behaviour (7 papers), Customer Service Quality and Loyalty (6 papers), CRISPR and Genetic Engineering (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), RNA Interference and Gene Delivery (4 papers) and Consumer Retail Behavior Studies (4 papers). The work is most often cited by research in Business and International Management (22 citations), Marketing (77 citations), Information Systems and Management (53 citations), Complementary and alternative medicine (32 citations) and Organizational Behavior and Human Resource Management (36 citations). Mohd Azhar has collaborated with scholars based in India, Brazil and Australia. Frequent co-authors include Sheeba Hamid, Sujood Sujood, Mohd Nayyer Rahman, Debojyoti Chakraborty, Souvik Maiti, Ghulamuddin Sofi, Hashmat Imam, Azad Hussain, Manoj Kumar and Asgar Hussain Ansari. Their work appears in journals such as Tourism Recreation Research, Technology in Society, British Food Journal, Journal of Consumer Behaviour and Journal of Consumer Marketing.
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.