David J. Slate
About
In The Last Decade
David J. Slate
5 papers receiving 353 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 335
- Computer Vision and Pattern Recognition 140
- Signal Processing 45
- Information Systems 34
- Control and Systems Engineering 24
Countries citing papers authored by David J. Slate
This map shows the geographic impact of David J. Slate'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 David J. Slate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Slate more than expected).
Fields of papers citing papers by David J. Slate
This network shows the impact of papers produced by David J. Slate. 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 David J. Slate. The network helps show where David J. Slate may publish in the future.
Co-authorship network of co-authors of David J. Slate
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Slate. A scholar is included among the top collaborators of David J. Slate 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 David J. Slate. David J. Slate is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 175 | |
| 2 | 193 | |
| 3 | 7 | |
| 4 | Chess 4.6 - Where Do We Go From Here? | 2 |
| 5 | 1 |
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.