Shabana Ramzan
- Information Systems top 10%
- Artificial Intelligence
- Safety, Risk, Reliability and Quality top 10%
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Co-authors
- Imran Sarwar BajwaWaheed AnwarNadeem SarwarNoreen JamilRafaqut KazmiRiaz Ul AminM. Asif NaeemIkram Ul Haq
- Topics
- Smart Agriculture and AI (5 papers)Fire Detection and Safety Systems (4 papers)Greenhouse Technology and Climate Control (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- PakistanSouth KoreaNew Zealand
In The Last Decade
Shabana Ramzan
19 papers receiving 305 citations
Peers
Comparison fields: 5 of 82
- Information Systems 94
- Artificial Intelligence 85
- Safety, Risk, Reliability and Quality 51
- Computer Networks and Communications 50
- Electrical and Electronic Engineering 43
Countries citing papers authored by Shabana Ramzan
This map shows the geographic impact of Shabana Ramzan'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 Shabana Ramzan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shabana Ramzan more than expected).
Fields of papers citing papers by Shabana Ramzan
This network shows the impact of papers produced by Shabana Ramzan. 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 Shabana Ramzan. The network helps show where Shabana Ramzan may publish in the future.
Co-authorship network of co-authors of Shabana Ramzan
This figure shows the co-authorship network connecting the top 25 collaborators of Shabana Ramzan. A scholar is included among the top collaborators of Shabana Ramzan 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 Shabana Ramzan. Shabana Ramzan 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 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 7 | |
| 11 | 22 | |
| 12 | 2 | |
| 13 | 65 | |
| 14 | 13 | |
| 15 | 20 | |
| 16 | 57 | |
| 17 | 31 | |
| 18 | 44 | |
| 19 | 2 | |
| 20 | 9 |
About Shabana Ramzan
Shabana Ramzan is a scholar working on Safety, Risk, Reliability and Quality, Health Information Management and Information Systems, having authored 22 papers that have together received 316 indexed citations. Recurring topics across this work include Smart Agriculture and AI (5 papers), Fire Detection and Safety Systems (4 papers) and Greenhouse Technology and Climate Control (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (51 citations), Information Systems (94 citations) and Artificial Intelligence (85 citations). Shabana Ramzan has collaborated with scholars based in Pakistan, South Korea and New Zealand. Frequent co-authors include Imran Sarwar Bajwa, Waheed Anwar, Nadeem Sarwar, Noreen Jamil, Rafaqut Kazmi, Riaz Ul Amin, M. Asif Naeem, Ikram Ul Haq, Yazeed Yasin Ghadi and Hanan Aljuaid. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.