Maryam Parsa
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience top 10%
- Materials Chemistry
- Co-authors
- Catherine D. SchumanJ. Parker MitchellShruti KulkarniPrasanna DateBill KayKaushik RoyBing HanAbhronil Sengupta
- Topics
- Advanced Memory and Neural Computing (28 papers)Ferroelectric and Negative Capacitance Devices (19 papers)Neural dynamics and brain function (12 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Maryam Parsa
35 papers receiving 943 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Electrical and Electronic Engineering 761
- Artificial Intelligence 365
- Cognitive Neuroscience 206
- Cellular and Molecular Neuroscience 186
- Materials Chemistry 91
Countries citing papers authored by Maryam Parsa
This map shows the geographic impact of Maryam Parsa'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 Maryam Parsa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maryam Parsa more than expected).
Fields of papers citing papers by Maryam Parsa
This network shows the impact of papers produced by Maryam Parsa. 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 Maryam Parsa. The network helps show where Maryam Parsa may publish in the future.
Co-authorship network of co-authors of Maryam Parsa
This figure shows the co-authorship network connecting the top 25 collaborators of Maryam Parsa. A scholar is included among the top collaborators of Maryam Parsa 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 Maryam Parsa. Maryam Parsa 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 33 | |
| 13 | Opportunities for neuromorphic computing algorithms and applicationsbreakdown → | 615 |
| 14 | 1 | |
| 15 | 19 | |
| 16 | 2 | |
| 17 | 15 | |
| 18 | 9 | |
| 19 | 14 | |
| 20 | 61 |
About Maryam Parsa
Maryam Parsa is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence, having authored 42 papers that have together received 971 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (28 papers), Ferroelectric and Negative Capacitance Devices (19 papers) and Neural dynamics and brain function (12 papers). The work is most often cited by research in Electrical and Electronic Engineering (761 citations), Artificial Intelligence (365 citations) and Cognitive Neuroscience (206 citations). Maryam Parsa has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Catherine D. Schuman, J. Parker Mitchell, Shruti Kulkarni, Prasanna Date, Bill Kay, Kaushik Roy, Bing Han, Abhronil Sengupta, Robert M. Patton and Thomas E. Potok. Their work appears in journals such as Nature Communications, Optics Express and IEEE Transactions on Electron Devices.
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.