Bryant Wysocki
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 5%
- Hardware and Architecture top 2%
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Nathan McDonaldGarrett S. RoseDhireesha KudithipudiCory MerkelRobinson E. PinoMiodrag PotkonjakRamesh KarriYang Yi
- Topics
- Advanced Memory and Neural Computing (24 papers)Neural Networks and Reservoir Computing (10 papers)Neural dynamics and brain function (8 papers)
- Cited by
- Hardware and ArchitectureCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Partner nations
- United StatesQatarIndia
In The Last Decade
Bryant Wysocki
29 papers receiving 659 citations
Peers
Comparison fields: 5 of 39
- Electrical and Electronic Engineering 633
- Cellular and Molecular Neuroscience 292
- Hardware and Architecture 259
- Artificial Intelligence 164
- Cognitive Neuroscience 133
Countries citing papers authored by Bryant Wysocki
This map shows the geographic impact of Bryant Wysocki'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 Bryant Wysocki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryant Wysocki more than expected).
Fields of papers citing papers by Bryant Wysocki
This network shows the impact of papers produced by Bryant Wysocki. 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 Bryant Wysocki. The network helps show where Bryant Wysocki may publish in the future.
Co-authorship network of co-authors of Bryant Wysocki
This figure shows the co-authorship network connecting the top 25 collaborators of Bryant Wysocki. A scholar is included among the top collaborators of Bryant Wysocki 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 Bryant Wysocki. Bryant Wysocki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 12 | |
| 3 | 4 | |
| 4 | 74 | |
| 5 | 26 | |
| 6 | 32 | |
| 7 | 15 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 8 | |
| 11 | 3 | |
| 12 | 44 | |
| 13 | 19 | |
| 14 | 2 | |
| 15 | 58 | |
| 16 | 3 | |
| 17 | Compact Method for Modeling and Simulation of Memristor Devices | 6 |
| 18 | 32 | |
| 19 | 32 | |
| 20 | 14 |
About Bryant Wysocki
Bryant Wysocki is a scholar working on Hardware and Architecture, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 30 papers that have together received 686 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (24 papers), Neural Networks and Reservoir Computing (10 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Hardware and Architecture (259 citations), Cellular and Molecular Neuroscience (292 citations) and Electrical and Electronic Engineering (633 citations). Bryant Wysocki has collaborated with scholars based in United States, Qatar and India. Frequent co-authors include Nathan McDonald, Garrett S. Rose, Dhireesha Kudithipudi, Cory Merkel, Robinson E. Pino, Miodrag Potkonjak, Ramesh Karri, Yang Yi, Chenyuan Zhao and James B. Wendt. Their work appears in journals such as Applied Physics Letters, Proceedings of the IEEE and Frontiers in Neuroscience.
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.