Mitchell A. Nahmias
- Electrical and Electronic Engineering top 1%
- Artificial Intelligence top 0.2%
- Cognitive Neuroscience top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Alexander N. TaitBhavin J. ShastriPaul R. PrucnalThomas Ferreira de LimaHsuan-Tung PengAllie X. WuEllen ZhouHeidi B. Miller
- Topics
- Neural Networks and Reservoir Computing (63 papers)Photonic and Optical Devices (49 papers)Advanced Memory and Neural Computing (37 papers)
- Partner nations
- United StatesCanadaRussia
In The Last Decade
Mitchell A. Nahmias
70 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Electrical and Electronic Engineering 3.2k
- Artificial Intelligence 3.1k
- Cognitive Neuroscience 293
- Atomic and Molecular Physics, and Optics 223
- Cellular and Molecular Neuroscience 153
Countries citing papers authored by Mitchell A. Nahmias
This map shows the geographic impact of Mitchell A. Nahmias'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 Mitchell A. Nahmias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell A. Nahmias more than expected).
Fields of papers citing papers by Mitchell A. Nahmias
This network shows the impact of papers produced by Mitchell A. Nahmias. 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 Mitchell A. Nahmias. The network helps show where Mitchell A. Nahmias may publish in the future.
Co-authorship network of co-authors of Mitchell A. Nahmias
This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell A. Nahmias. A scholar is included among the top collaborators of Mitchell A. Nahmias 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 Mitchell A. Nahmias. Mitchell A. Nahmias 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 | 4 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 192 | |
| 6 | 12 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | Neuromorphic photonic networks using silicon photonic weight banksbreakdown → | 541 |
| 12 | 2 | |
| 13 | Neuromorphic Silicon Photonics. | 6 |
| 14 | 134 | |
| 15 | 152 | |
| 16 | 32 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 25 | |
| 20 | 25 |
About Mitchell A. Nahmias
Mitchell A. Nahmias is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 70 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (63 papers), Photonic and Optical Devices (49 papers) and Advanced Memory and Neural Computing (37 papers). The work is most often cited by research in Artificial Intelligence (3.1k citations), Electrical and Electronic Engineering (3.2k citations) and Acoustics and Ultrasonics (14 citations). Mitchell A. Nahmias has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Alexander N. Tait, Bhavin J. Shastri, Paul R. Prucnal, Thomas Ferreira de Lima, Hsuan-Tung Peng, Allie X. Wu, Ellen Zhou, Heidi B. Miller, Ben Wu and Alejandro W. Rodríguez. Their work appears in journals such as Applied Physics Letters, Scientific Reports and Optics Letters.
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.