William R. Softky
About
In The Last Decade
William R. Softky
10 papers receiving 524 citations
Peers
Comparison fields: 5 of 50
- Cognitive Neuroscience 478
- Cellular and Molecular Neuroscience 304
- Statistical and Nonlinear Physics 125
- Electrical and Electronic Engineering 104
- Artificial Intelligence 100
Countries citing papers authored by William R. Softky
This map shows the geographic impact of William R. Softky'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 William R. Softky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William R. Softky more than expected).
Fields of papers citing papers by William R. Softky
This network shows the impact of papers produced by William R. Softky. 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 William R. Softky. The network helps show where William R. Softky may publish in the future.
Co-authorship network of co-authors of William R. Softky
This figure shows the co-authorship network connecting the top 25 collaborators of William R. Softky. A scholar is included among the top collaborators of William R. Softky 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 William R. Softky. William R. Softky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Single-cell models | 17 |
| 2 | 19 | |
| 3 | Unsupervised Pixel-prediction | 9 |
| 4 | 200 | |
| 5 | 1 | |
| 6 | 168 | |
| 7 | 12 | |
| 8 | 81 | |
| 9 | 32 | |
| 10 | Can Simple Cells Learn Curves? A Hebbian Model in a Structured Environment | 2 |
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.