Benjamin D. Killeen
About
In The Last Decade
Benjamin D. Killeen
19 papers receiving 939 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Electrical and Electronic Engineering 741
- Cellular and Molecular Neuroscience 223
- Artificial Intelligence 216
- Cognitive Neuroscience 109
- Materials Chemistry 107
Countries citing papers authored by Benjamin D. Killeen
This map shows the geographic impact of Benjamin D. Killeen'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 Benjamin D. Killeen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin D. Killeen more than expected).
Fields of papers citing papers by Benjamin D. Killeen
This network shows the impact of papers produced by Benjamin D. Killeen. 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 Benjamin D. Killeen. The network helps show where Benjamin D. Killeen may publish in the future.
Co-authorship network of co-authors of Benjamin D. Killeen
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin D. Killeen. A scholar is included among the top collaborators of Benjamin D. Killeen 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 Benjamin D. Killeen. Benjamin D. Killeen 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | 55 | |
| 14 | 7 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | 4 | |
| 18 | 26 | |
| 19 | 29 | |
| 20 | Equivalent-accuracy accelerated neural-network training using analogue memory breakdown → | 770 |
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.