Craig M. Vineyard
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Cellular and Molecular Neuroscience
- Computer Vision and Pattern Recognition
- Co-authors
- James B. AimoneWilliam SeveraStephen VerziConrad D. JamesNadine E. MinerKristofor D. CarlsonTimothy J. DraelosMatthew Marinella
- Topics
- Advanced Memory and Neural Computing (20 papers)Neural Networks and Reservoir Computing (13 papers)Neural dynamics and brain function (11 papers)
- Partner nations
- United States
In The Last Decade
Craig M. Vineyard
33 papers receiving 282 citations
Peers
Comparison fields: 5 of 55
- Electrical and Electronic Engineering 193
- Artificial Intelligence 157
- Cognitive Neuroscience 95
- Cellular and Molecular Neuroscience 45
- Computer Vision and Pattern Recognition 31
Countries citing papers authored by Craig M. Vineyard
This map shows the geographic impact of Craig M. Vineyard'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 Craig M. Vineyard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig M. Vineyard more than expected).
Fields of papers citing papers by Craig M. Vineyard
This network shows the impact of papers produced by Craig M. Vineyard. 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 Craig M. Vineyard. The network helps show where Craig M. Vineyard may publish in the future.
Co-authorship network of co-authors of Craig M. Vineyard
This figure shows the co-authorship network connecting the top 25 collaborators of Craig M. Vineyard. A scholar is included among the top collaborators of Craig M. Vineyard 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 Craig M. Vineyard. Craig M. Vineyard 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 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 69 | |
| 13 | 5 | |
| 14 | 73 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | 7 | |
| 20 | 2 |
About Craig M. Vineyard
Craig M. Vineyard is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 35 papers that have together received 295 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (20 papers), Neural Networks and Reservoir Computing (13 papers) and Neural dynamics and brain function (11 papers). The work is most often cited by research in Artificial Intelligence (157 citations), Cognitive Neuroscience (95 citations) and Electrical and Electronic Engineering (193 citations). Craig M. Vineyard has collaborated with scholars based in United States. Frequent co-authors include James B. Aimone, William Severa, Stephen Verzi, Conrad D. James, Nadine E. Miner, Kristofor D. Carlson, Timothy J. Draelos, Matthew Marinella, Steven J. Plimpton and Aleksandra Faust. Their work appears in journals such as Optics Express, Computer and Neural Computation.
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.