Hooman Farkhani
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics
- Biomedical Engineering
- Artificial Intelligence
- Cellular and Molecular Neuroscience
- Co-authors
- Farshad MoradiAli PeiraviManoj SachdevRicardo FerreiraTim BöhnertMilad ZamaniA. JenkinsJ. D. Costa
- Topics
- Advanced Memory and Neural Computing (21 papers)Magnetic properties of thin films (15 papers)Neural Networks and Reservoir Computing (11 papers)
- Cited by
- Electrical and Electronic EngineeringAtomic and Molecular Physics, and OpticsHardware and Architecture
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsJournal of Physics D Applied Physics
In The Last Decade
Hooman Farkhani
34 papers receiving 334 citations
Peers
Comparison fields: 5 of 31
- Electrical and Electronic Engineering 293
- Atomic and Molecular Physics, and Optics 91
- Biomedical Engineering 75
- Artificial Intelligence 63
- Cellular and Molecular Neuroscience 36
Countries citing papers authored by Hooman Farkhani
This map shows the geographic impact of Hooman Farkhani'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 Hooman Farkhani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hooman Farkhani more than expected).
Fields of papers citing papers by Hooman Farkhani
This network shows the impact of papers produced by Hooman Farkhani. 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 Hooman Farkhani. The network helps show where Hooman Farkhani may publish in the future.
Co-authorship network of co-authors of Hooman Farkhani
This figure shows the co-authorship network connecting the top 25 collaborators of Hooman Farkhani. A scholar is included among the top collaborators of Hooman Farkhani 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 Hooman Farkhani. Hooman Farkhani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | 11 | |
| 13 | 3 | |
| 14 | 20 | |
| 15 | 26 | |
| 16 | 3 | |
| 17 | 12 | |
| 18 | 4 | |
| 19 | 24 | |
| 20 | 32 |
About Hooman Farkhani
Hooman Farkhani is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 36 papers that have together received 345 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (21 papers), Magnetic properties of thin films (15 papers) and Neural Networks and Reservoir Computing (11 papers). The work is most often cited by research in Electrical and Electronic Engineering (293 citations), Atomic and Molecular Physics, and Optics (91 citations) and Hardware and Architecture (17 citations). Hooman Farkhani has collaborated with scholars based in Denmark, Iran and Portugal. Frequent co-authors include Farshad Moradi, Ali Peiravi, Manoj Sachdev, Ricardo Ferreira, Tim Böhnert, Milad Zamani, A. Jenkins, J. D. Costa, Lucian Prejbeanu and Gabriella Panuccio. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Physics D Applied Physics.
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.