Hamid Saadatfar
- Artificial Intelligence top 5%
- Health Information Management top 1%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Co-authors
- Javad Hassannataj JoloudariShahaboddin ShamshirbandAmir MosaviAbdollah DehzangiMohammad GhasemiGolNarjes NabipourHossein DeldariSeyyed Mohammad Razavi
- Topics
- Cloud Computing and Resource Management (11 papers)Distributed and Parallel Computing Systems (6 papers)Machine Learning and Data Classification (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsInternational Journal of Environmental Research and Public Health
In The Last Decade
Hamid Saadatfar
26 papers receiving 524 citations
Peers
Comparison fields: 5 of 110
- Artificial Intelligence 216
- Health Information Management 122
- Computer Networks and Communications 118
- Information Systems 89
- Electrical and Electronic Engineering 66
Countries citing papers authored by Hamid Saadatfar
This map shows the geographic impact of Hamid Saadatfar'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 Hamid Saadatfar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamid Saadatfar more than expected).
Fields of papers citing papers by Hamid Saadatfar
This network shows the impact of papers produced by Hamid Saadatfar. 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 Hamid Saadatfar. The network helps show where Hamid Saadatfar may publish in the future.
Co-authorship network of co-authors of Hamid Saadatfar
This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Saadatfar. A scholar is included among the top collaborators of Hamid Saadatfar 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 Hamid Saadatfar. Hamid Saadatfar 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 | 0 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 12 | |
| 6 | 11 | |
| 7 | 39 | |
| 8 | 47 | |
| 9 | 5 | |
| 10 | 108 | |
| 11 | 78 | |
| 12 | 5 | |
| 13 | 55 | |
| 14 | 13 | |
| 15 | 5 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 10 | |
| 19 | 3 | |
| 20 | 25 |
About Hamid Saadatfar
Hamid Saadatfar is a scholar working on Computer Networks and Communications, Health Information Management and Hardware and Architecture, having authored 31 papers that have together received 551 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (11 papers), Distributed and Parallel Computing Systems (6 papers) and Machine Learning and Data Classification (5 papers). The work is most often cited by research in Health Information Management (122 citations), Artificial Intelligence (216 citations) and Computer Networks and Communications (118 citations). Hamid Saadatfar has collaborated with scholars based in Iran, Australia and Vietnam. Frequent co-authors include Javad Hassannataj Joloudari, Shahaboddin Shamshirband, Amir Mosavi, Abdollah Dehzangi, Mohammad GhasemiGol, Narjes Nabipour, Hossein Deldari, Seyyed Mohammad Razavi, László Nádai and Seyyed Mehdi Hosseini. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and International Journal of Environmental Research and Public Health.
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.