Neda Azizi
- Information Systems top 10%
- Management Information Systems top 10%
- Strategy and Management
- Artificial Intelligence
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Ming LiangPeyman AkhavanShahrzad SaremiTayyab MaqsoodAli AhsanMalik KhalfanSeyedali MirjaliliBruce Rowlands
- Topics
- Organizational and Employee Performance (7 papers)Knowledge Management and Sharing (7 papers)Blockchain Technology Applications and Security (6 papers)
- Partner nations
- AustraliaIranUnited Kingdom
In The Last Decade
Neda Azizi
22 papers receiving 210 citations
Peers
Comparison fields: 5 of 54
- Information Systems 68
- Management Information Systems 41
- Strategy and Management 33
- Artificial Intelligence 33
- Industrial and Manufacturing Engineering 28
Countries citing papers authored by Neda Azizi
This map shows the geographic impact of Neda Azizi'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 Neda Azizi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neda Azizi more than expected).
Fields of papers citing papers by Neda Azizi
This network shows the impact of papers produced by Neda Azizi. 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 Neda Azizi. The network helps show where Neda Azizi may publish in the future.
Co-authorship network of co-authors of Neda Azizi
This figure shows the co-authorship network connecting the top 25 collaborators of Neda Azizi. A scholar is included among the top collaborators of Neda Azizi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neda Azizi. Neda Azizi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 28 | |
| 9 | 6 | |
| 10 | IoT–Blockchain: Harnessing the Power of Internet of Thing and Blockchain for Smart Supply Chain | 2 |
| 11 | 28 | |
| 12 | 14 | |
| 13 | 8 | |
| 14 | 4 | |
| 15 | Developing the concept of Individual IT Culture and its Impact on IT Risk Management Implementation | 2 |
| 16 | 9 | |
| 17 | 1 | |
| 18 | IT Risk Management Implementation as Socio-Technical Change: A Process Approach | 4 |
| 19 | The moderating effects of organisational culture on the relationship between knowledge sharing and It risk management success | 1 |
| 20 | 26 |
About Neda Azizi
Neda Azizi is a scholar working on Communication, Management Information Systems and Tourism, Leisure and Hospitality Management, having authored 24 papers that have together received 219 indexed citations. Recurring topics across this work include Organizational and Employee Performance (7 papers), Knowledge Management and Sharing (7 papers) and Blockchain Technology Applications and Security (6 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (11 citations), Management Information Systems (41 citations) and Communication (27 citations). Neda Azizi has collaborated with scholars based in Australia, Iran and United Kingdom. Frequent co-authors include Ming Liang, Peyman Akhavan, Shahrzad Saremi, Tayyab Maqsood, Ali Ahsan, Malik Khalfan, Seyedali Mirjalili, Bruce Rowlands, Shah Jahan Miah and Tony Jan. Their work appears in journals such as Sensors, Journal of the Operational Research Society and Sustainability.
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.