Fahd Albinali
- Physiology top 10%
- Computer Vision and Pattern Recognition top 5%
- Public Health, Environmental and Occupational Health top 10%
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Co-authors
- Stephen IntilleWilliam L. HaskellMary E. RosenbergerMatthew S. GoodwinJason NawynSelene MotaDinesh JohnWayne F. Velicer
- Topics
- Context-Aware Activity Recognition Systems (13 papers)Physical Activity and Health (6 papers)IoT and Edge/Fog Computing (3 papers)
- Journals
- Medicine & Science in Sports & ExerciseAtmospheric EnvironmentJournal of Autism and Developmental Disorders
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Fahd Albinali
23 papers receiving 731 citations
Peers
Comparison fields: 5 of 89
- Physiology 258
- Computer Vision and Pattern Recognition 202
- Public Health, Environmental and Occupational Health 161
- Cognitive Neuroscience 153
- Biomedical Engineering 81
Countries citing papers authored by Fahd Albinali
This map shows the geographic impact of Fahd Albinali'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 Fahd Albinali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fahd Albinali more than expected).
Fields of papers citing papers by Fahd Albinali
This network shows the impact of papers produced by Fahd Albinali. 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 Fahd Albinali. The network helps show where Fahd Albinali may publish in the future.
Co-authorship network of co-authors of Fahd Albinali
This figure shows the co-authorship network connecting the top 25 collaborators of Fahd Albinali. A scholar is included among the top collaborators of Fahd Albinali 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 Fahd Albinali. Fahd Albinali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 114 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 177 | |
| 6 | 34 | |
| 7 | 1 | |
| 8 | 31 | |
| 9 | 2 | |
| 10 | 38 | |
| 11 | 63 | |
| 12 | 107 | |
| 13 | 17 | |
| 14 | 84 | |
| 15 | CPM: context-aware power management in WLANs | 4 |
| 16 | 2 | |
| 17 | 3 | |
| 18 | A Multi-Layered Approach for Modeling Activities in Smart Spaces. | 1 |
| 19 | An Inter-Access Point Handoff Mechanism for Wireless Network Management: The Sabino System. | 12 |
| 20 | Payment Support in Ubiquitous Computing Environments | 5 |
About Fahd Albinali
Fahd Albinali is a scholar working on Computer Vision and Pattern Recognition, Occupational Therapy and Human-Computer Interaction, having authored 23 papers that have together received 760 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (13 papers), Physical Activity and Health (6 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Occupational Therapy (48 citations), Computer Vision and Pattern Recognition (202 citations) and Physiology (258 citations). Fahd Albinali has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Stephen Intille, William L. Haskell, Mary E. Rosenberger, Matthew S. Goodwin, Jason Nawyn, Selene Mota, Dinesh John, Wayne F. Velicer, Nigel Davies and Charles Rodes. Their work appears in journals such as Medicine & Science in Sports & Exercise, Atmospheric Environment and Journal of Autism and Developmental Disorders.
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.