Fahad Alam
- Physiology
- Surgery
- Human-Computer Interaction top 5%
- Computer Vision and Pattern Recognition
- Public Health, Environmental and Occupational Health
- Co-authors
- Clyde MatavaBill KapralosÁlvaro Uribe-QuevedoMuhammad Yaseen BhuttoSylvain BoetQing YangNadeem AkhtarDerek Chen
- Topics
- Surgical Simulation and Training (11 papers)Simulation-Based Education in Healthcare (11 papers)Augmented Reality Applications (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnnals of SurgeryCochrane Database of Systematic Reviews
In The Last Decade
Fahad Alam
40 papers receiving 425 citations
Peers
Comparison fields: 5 of 100
- Physiology 97
- Surgery 86
- Human-Computer Interaction 71
- Computer Vision and Pattern Recognition 54
- Public Health, Environmental and Occupational Health 46
Countries citing papers authored by Fahad Alam
This map shows the geographic impact of Fahad Alam'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 Fahad Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fahad Alam more than expected).
Fields of papers citing papers by Fahad Alam
This network shows the impact of papers produced by Fahad Alam. 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 Fahad Alam. The network helps show where Fahad Alam may publish in the future.
Co-authorship network of co-authors of Fahad Alam
This figure shows the co-authorship network connecting the top 25 collaborators of Fahad Alam. A scholar is included among the top collaborators of Fahad Alam 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 Fahad Alam. Fahad Alam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 6 | |
| 13 | 29 | |
| 14 | 24 | |
| 15 | 66 | |
| 16 | The Influence of Consumption Values on Green Purchase Intention: A Moderated Mediation of Greenwash Perceptions and Green Trust | 16 |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 24 | |
| 20 | 9 |
About Fahad Alam
Fahad Alam is a scholar working on Family Practice, Emergency Medical Services and Human-Computer Interaction, having authored 40 papers that have together received 438 indexed citations. Recurring topics across this work include Surgical Simulation and Training (11 papers), Simulation-Based Education in Healthcare (11 papers) and Augmented Reality Applications (6 papers). The work is most often cited by research in Human-Computer Interaction (71 citations), Health Informatics (17 citations) and Anesthesiology and Pain Medicine (35 citations). Fahad Alam has collaborated with scholars based in Canada, China and Colombia. Frequent co-authors include Clyde Matava, Bill Kapralos, Álvaro Uribe-Quevedo, Muhammad Yaseen Bhutto, Sylvain Boet, Qing Yang, Nadeem Akhtar, Derek Chen, Sinziana Avramescu and Vicki R. LeBlanc. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Surgery and Cochrane Database of Systematic Reviews.
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.