Hadi Banaee
Impact in
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- Artificial Intelligence in Healthcare
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- Context-Aware Activity Recognition Systems
Papers in
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- Semantic Web and Ontologies 2
- Evolutionary Algorithms and Applications 2
- Advanced Text Analysis Techniques 1
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- Time Series Analysis and Forecasting 5
- Data Management and Algorithms 4
- Co-authors
- Amy Loutfi (11 shared papers)Mobyen Uddin Ahmed (6 shared papers)Erik Schaffernicht (1 shared paper)Amir Vajdi (2 shared papers)Nurit Haspel (2 shared papers)
- Journals
- Sensors (1 paper)Journal of Artificial Intelligence Research (1 paper)Building and Environment (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)KTH Publication Database DiVA (KTH Royal Institute of Technology) (1 paper)
- Partner nations
- SwedenUnited StatesSpain
In The Last Decade
Hadi Banaee
10 papers receiving 336 citations
Peers
Comparison fields: 5 of 94
- Health Information Management 47
- Computer Vision and Pattern Recognition 94
- Health Informatics 5
- Signal Processing 39
- Computer Networks and Communications 60
Countries citing papers authored by Hadi Banaee
This map shows the geographic impact of Hadi Banaee'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 Hadi Banaee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hadi Banaee more than expected).
Fields of papers citing papers by Hadi Banaee
This network shows the impact of papers produced by Hadi Banaee. 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 Hadi Banaee. The network helps show where Hadi Banaee may publish in the future.
Co-authors
The 5 scholars most cited alongside Hadi Banaee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 281 | |
| 2 | 2015 | 14 | |
| 3 | 2013 | 13 | |
| 4 | 2013 | 11 | |
| 5 | 2023 | 10 | |
| 6 | 2018 | 9 | |
| 7 | Towards NLG for Physiological Data Monitoring with Body Area Networks | 2013 | 5 |
| 8 | 2015 | 4 | |
| 9 | 2015 | 2 | |
| 10 | 2014 | 1 | |
| 11 | 2015 | 1 | |
| 12 | 2023 | 0 | |
| 13 | 2015 | 0 |
About Hadi Banaee
Hadi Banaee is a scholar working on Artificial Intelligence, Signal Processing, Molecular Biology, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 13 papers that have together received 351 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (5 papers), Data Management and Algorithms (4 papers), Context-Aware Activity Recognition Systems (3 papers), Semantic Web and Ontologies (2 papers), Machine Learning in Bioinformatics (2 papers), Evolutionary Algorithms and Applications (2 papers), Data Mining Algorithms and Applications (2 papers) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Health Information Management (47 citations), Computer Vision and Pattern Recognition (94 citations), Health Informatics (5 citations), Signal Processing (39 citations) and Computer Networks and Communications (60 citations). Hadi Banaee has collaborated with scholars based in Sweden, United States and Spain. Frequent co-authors include Amy Loutfi, Mobyen Uddin Ahmed, Erik Schaffernicht, Amir Vajdi and Nurit Haspel. Their work appears in journals such as Sensors, Journal of Artificial Intelligence Research, Building and Environment, IEEE Journal of Biomedical and Health Informatics and KTH Publication Database DiVA (KTH Royal Institute of Technology).
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.