Anu Sayal
Impact in
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- Virtual Reality Applications and Impacts
Papers in
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- Supply Chain and Inventory Management 4
- Big Data and Business Intelligence 3
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- Blockchain Technology Applications and Security 5
- Co-authors
- Ashulekha Gupta (13 shared papers)Minakshi Memoria (5 shared papers)Amar Johri (7 shared papers)Anand Chauhan (7 shared papers)Neeraj Dhiman (3 shared papers)Rajiv Kumar (1 shared paper)Varun Dogra (1 shared paper)M. C. Pant (1 shared paper)
- Journals
- Cleaner Engineering and Technology (2 papers)Results in Engineering (2 papers)International Journal of Asian Business and Information Management (1 paper)Journal of Open Innovation Technology Market and Complexity (1 paper)International Journal of Information Management Data Insights (1 paper)
- Partner nations
- IndiaMalaysiaSaudi Arabia
In The Last Decade
Anu Sayal
32 papers receiving 151 citations
Peers
Comparison fields: 5 of 51
- Human-Computer Interaction 20
- Health Informatics 3
- Management Information Systems 19
- Health Information Management 7
- Management Science and Operations Research 17
Countries citing papers authored by Anu Sayal
This map shows the geographic impact of Anu Sayal'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 Anu Sayal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anu Sayal more than expected).
Fields of papers citing papers by Anu Sayal
This network shows the impact of papers produced by Anu Sayal. 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 Anu Sayal. The network helps show where Anu Sayal may publish in the future.
Co-authors
The 20 scholars most cited alongside Anu Sayal, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 30 | |
| 2 | 2023 | 15 | |
| 3 | 2023 | 13 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 7 | |
| 8 | 2025 | 6 | |
| 9 | 2023 | 6 | |
| 10 | 2021 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2019 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2025 | 2 |
About Anu Sayal
Anu Sayal is a scholar working on Management Information Systems, Information Systems, Management Science and Operations Research, Marketing and Artificial Intelligence, having authored 36 papers that have together received 157 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (5 papers), Impact of AI and Big Data on Business and Society (5 papers), Environmental Sustainability in Business (4 papers), Supply Chain and Inventory Management (4 papers), Scheduling and Optimization Algorithms (4 papers), Big Data and Business Intelligence (3 papers), Consumer Behavior in Brand Consumption and Identification (3 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Human-Computer Interaction (20 citations), Health Informatics (3 citations), Management Information Systems (19 citations), Health Information Management (7 citations) and Management Science and Operations Research (17 citations). Anu Sayal has collaborated with scholars based in India, Malaysia and Saudi Arabia. Frequent co-authors include Ashulekha Gupta, Minakshi Memoria, Amar Johri, Anand Chauhan, Neeraj Dhiman, Rajiv Kumar, Varun Dogra, M. C. Pant, T R Mahesh and Mohammad Wasiq. Their work appears in journals such as Cleaner Engineering and Technology, Results in Engineering, International Journal of Asian Business and Information Management, Journal of Open Innovation Technology Market and Complexity and International Journal of Information Management Data Insights.
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.