Hamed Asadi
- Artificial Intelligence top 10%
- Biomedical Engineering
- Surgery
- Pharmacology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Ronil V. ChandraHong Kuan KokMark BrooksShiwei HuangMichael J. LeeGuy HandelmanAmir H. RazaviDenny Yu
- Topics
- Musculoskeletal pain and rehabilitation (9 papers)Ergonomics and Musculoskeletal Disorders (3 papers)Occupational health in dentistry (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaAmerican Journal of RoentgenologyJournal of the American College of Surgeons
- Partner nations
- United StatesAustraliaIran
In The Last Decade
Hamed Asadi
23 papers receiving 501 citations
Peers
Comparison fields: 5 of 135
- Artificial Intelligence 94
- Biomedical Engineering 90
- Surgery 78
- Pharmacology 75
- Radiology, Nuclear Medicine and Imaging 67
Countries citing papers authored by Hamed Asadi
This map shows the geographic impact of Hamed Asadi'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 Hamed Asadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamed Asadi more than expected).
Fields of papers citing papers by Hamed Asadi
This network shows the impact of papers produced by Hamed Asadi. 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 Hamed Asadi. The network helps show where Hamed Asadi may publish in the future.
Co-authorship network of co-authors of Hamed Asadi
This figure shows the co-authorship network connecting the top 25 collaborators of Hamed Asadi. A scholar is included among the top collaborators of Hamed Asadi 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 Hamed Asadi. Hamed Asadi 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 | 2 | |
| 3 | 15 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 18 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 17 | |
| 12 | 11 | |
| 13 | 36 | |
| 14 | 2 | |
| 15 | 25 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 51 | |
| 19 | OPTIMAL DESIGN OF TRUSS STRUCTURES BY IMPROVED MULTI-OBJECTIVE FIREFLY AND BAT ALGORITHMS | 3 |
| 20 | 10 |
About Hamed Asadi
Hamed Asadi is a scholar working on Medical Laboratory Technology, Health Informatics and Pharmacology, having authored 25 papers that have together received 523 indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (9 papers), Ergonomics and Musculoskeletal Disorders (3 papers) and Occupational health in dentistry (3 papers). The work is most often cited by research in Health Informatics (52 citations), Medical Laboratory Technology (28 citations) and Health Information Management (23 citations). Hamed Asadi has collaborated with scholars based in United States, Australia and Iran. Frequent co-authors include Ronil V. Chandra, Hong Kuan Kok, Mark Brooks, Shiwei Huang, Michael J. Lee, Guy Handelman, Amir H. Razavi, Denny Yu, Mohamed Attia and Saeid Nahavandi. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Roentgenology and Journal of the American College of Surgeons.
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.