Samaneh Madanian
- Information Systems top 5%
- Computer Networks and Communications top 10%
- General Health Professions
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Farhaan MirzaDavid AirehrourDave ParryMarianne CherringtonIvana Nakarada‐KordicStephen ReayJohn Michael TempletonChristian Poellabauer
- Topics
- Artificial Intelligence in Healthcare (7 papers)Digital Mental Health Interventions (5 papers)IoT and Edge/Fog Computing (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsSensors
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
Samaneh Madanian
48 papers receiving 514 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Information Systems 107
- Computer Networks and Communications 103
- General Health Professions 80
- Artificial Intelligence 80
- Computer Vision and Pattern Recognition 61
Countries citing papers authored by Samaneh Madanian
This map shows the geographic impact of Samaneh Madanian'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 Samaneh Madanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samaneh Madanian more than expected).
Fields of papers citing papers by Samaneh Madanian
This network shows the impact of papers produced by Samaneh Madanian. 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 Samaneh Madanian. The network helps show where Samaneh Madanian may publish in the future.
Co-authorship network of co-authors of Samaneh Madanian
This figure shows the co-authorship network connecting the top 25 collaborators of Samaneh Madanian. A scholar is included among the top collaborators of Samaneh Madanian 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 Samaneh Madanian. Samaneh Madanian 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 | 6 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | Patients' perspectives on digital health toolsbreakdown → | 77 |
| 17 | 7 | |
| 18 | Critical Success Factors of Agile ERP Development and Implementation Projects: A Systematic Literature Review | 1 |
| 19 | 133 | |
| 20 | Design Considerations for a Disaster eHealth Appliance | 1 |
About Samaneh Madanian
Samaneh Madanian is a scholar working on Health Information Management, Applied Psychology and Health Informatics, having authored 53 papers that have together received 556 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (7 papers), Digital Mental Health Interventions (5 papers) and IoT and Edge/Fog Computing (4 papers). The work is most often cited by research in Health Informatics (12 citations), Health Information Management (38 citations) and Information Systems (107 citations). Samaneh Madanian has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Farhaan Mirza, David Airehrour, Dave Parry, Marianne Cherrington, Ivana Nakarada‐Kordic, Stephen Reay, John Michael Templeton, Christian Poellabauer, Sandra Schneider and Joan Lu. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.
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.