Les Baillie
About
In The Last Decade
Les Baillie
96 papers receiving 2.8k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Les Baillie United Kingdom | 33 | 2.2k | 952 | 755 | 681 | 462 | 100 | 2.9k | ||
| Conrad P. Quinn United States | 38 | 2.5k 1.1× | 1.0k 1.1× | 636 0.8× | 750 1.1× | 448 1.0× | 92 | 3.2k | ||
| Michaël Mourez Canada | 29 | 2.0k 0.9× | 1.2k 1.3× | 566 0.7× | 454 0.7× | 440 1.0× | 55 | 2.9k | ||
| Theresa M. Koehler United States | 28 | 2.2k 1.0× | 1.1k 1.2× | 932 1.2× | 351 0.5× | 418 0.9× | 47 | 2.6k | ||
| Alain Charbit France | 41 | 2.7k 1.3× | 1.4k 1.5× | 1.2k 1.6× | 725 1.1× | 894 1.9× | 147 | 4.9k | ||
| Jens Peter Christensen Denmark | 41 | 2.1k 1.0× | 848 0.9× | 420 0.6× | 1.1k 1.7× | 186 0.4× | 168 | 5.7k | ||
| George C. Stewart United States | 38 | 2.1k 1.0× | 1.3k 1.3× | 821 1.1× | 1.1k 1.6× | 351 0.8× | 97 | 3.6k | ||
| Francis E. Nano Canada | 30 | 2.6k 1.2× | 1.7k 1.8× | 1.0k 1.4× | 671 1.0× | 180 0.4× | 73 | 3.7k | ||
| Agnès Fouet France | 39 | 4.2k 1.9× | 2.3k 2.4× | 2.1k 2.8× | 521 0.8× | 843 1.8× | 93 | 5.4k | ||
| J W Ezzell United States | 27 | 1.9k 0.9× | 923 1.0× | 504 0.7× | 462 0.7× | 344 0.7× | 50 | 2.5k | ||
| Susan L. Welkos United States | 46 | 4.0k 1.9× | 3.1k 3.2× | 1.0k 1.3× | 1.1k 1.6× | 650 1.4× | 111 | 5.7k |
Countries citing papers authored by Les Baillie
This map shows the geographic impact of Les Baillie'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 Les Baillie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Les Baillie more than expected).
Fields of papers citing papers by Les Baillie
This network shows the impact of papers produced by Les Baillie. 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 Les Baillie. The network helps show where Les Baillie may publish in the future.
Co-authorship network of co-authors of Les Baillie
This figure shows the co-authorship network connecting the top 25 collaborators of Les Baillie. A scholar is included among the top collaborators of Les Baillie 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 Les Baillie. Les Baillie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
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.