Roman Genov
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neural Engineering 92
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces 53
- Neural dynamics and brain function 17
- Bioengineering top 1%
- Analytical Chemistry and Sensors 17
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- Advanced Memory and Neural Computing 59
- CCD and CMOS Imaging Sensors 39
- Biomedical Engineering top 1%
- Analog and Mixed-Signal Circuit Design 57
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- Neurological disorders and treatments 16
- Co-authors
- Karim AbdelhalimJosé Luis Pérez VelázquezGert CauwenberghsMuhammad Tariqus SalamPeter L. CarlenHamed Mazhab JafariHossein KassiriNima Soltani
- Journals
- SHILAP Revista de lepidopterología (5 papers)IEEE Access (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Roman Genov
165 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 102
- Cellular and Molecular Neuroscience 1.9k
- Cognitive Neuroscience 1.2k
- Bioengineering 323
- Electrical and Electronic Engineering 2.1k
- Biomedical Engineering 1.6k
Countries citing papers authored by Roman Genov
This map shows the geographic impact of Roman Genov'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 Roman Genov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Genov more than expected).
Fields of papers citing papers by Roman Genov
This network shows the impact of papers produced by Roman Genov. 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 Roman Genov. The network helps show where Roman Genov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roman Genov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 0 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 35 | |
| 14 | 2020 | 141 | |
| 15 | 2019 | 14 | |
| 16 | 2019 | 7 | |
| 17 | 2019 | 13 | |
| 18 | 2018 | 3 | |
| 19 | 2018 | 27 | |
| 20 | A 5.9mW 6.5GMACS CID/DRAM array processor | 2002 | 10 |
About Roman Genov
Roman Genov is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Bioengineering, having authored 178 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (92 papers), Advanced Memory and Neural Computing (59 papers), Analog and Mixed-Signal Circuit Design (57 papers), EEG and Brain-Computer Interfaces (53 papers), CCD and CMOS Imaging Sensors (39 papers), Analytical Chemistry and Sensors (17 papers), Neural dynamics and brain function (17 papers) and Neurological disorders and treatments (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Cognitive Neuroscience (1.2k citations) and Bioengineering (323 citations). Roman Genov has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Karim Abdelhalim, José Luis Pérez Velázquez, Gert Cauwenberghs, Muhammad Tariqus Salam, Peter L. Carlen, Hamed Mazhab Jafari, Hossein Kassiri, Nima Soltani, M. Reza Pazhouhandeh and Arezu Bagheri. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Biomedical Engineering.
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.