Paul Dallaire
About
In The Last Decade
Paul Dallaire
11 papers receiving 639 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 449
- Genetics 191
- Cognitive Neuroscience 156
- Cellular and Molecular Neuroscience 111
- Plant Science 98
Countries citing papers authored by Paul Dallaire
This map shows the geographic impact of Paul Dallaire'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 Paul Dallaire with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Dallaire more than expected).
Fields of papers citing papers by Paul Dallaire
This network shows the impact of papers produced by Paul Dallaire. 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 Paul Dallaire. The network helps show where Paul Dallaire may publish in the future.
Co-authorship network of co-authors of Paul Dallaire
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Dallaire. A scholar is included among the top collaborators of Paul Dallaire 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 Paul Dallaire. Paul Dallaire is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 32 | |
| 3 | 16 | |
| 4 | 13 | |
| 5 | 12 | |
| 6 | 11 | |
| 7 | 395 | |
| 8 | 10 | |
| 9 | 84 | |
| 10 | 8 | |
| 11 | 62 |
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.