Mary Sue Fairbarn
About
In The Last Decade
Mary Sue Fairbarn
14 papers receiving 708 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mary Sue Fairbarn Canada | 12 | 424 | 312 | 244 | 193 | 83 | 14 | 738 | ||
| D. M. Cooper United States | 16 | 225 0.5× | 360 1.2× | 236 1.0× | 210 1.1× | 223 2.7× | 23 | 821 | ||
| E Longhini Italy | 12 | 163 0.4× | 159 0.5× | 196 0.8× | 131 0.7× | 60 0.7× | 58 | 515 | ||
| Maurice J.H. Sillen Netherlands | 12 | 403 1.0× | 220 0.7× | 220 0.9× | 108 0.6× | 44 0.5× | 21 | 719 | ||
| Nobuo Tauchi Japan | 8 | 214 0.5× | 306 1.0× | 45 0.2× | 363 1.9× | 33 0.4× | 20 | 648 | ||
| Attila Somfay Hungary | 11 | 972 2.3× | 397 1.3× | 317 1.3× | 196 1.0× | 39 0.5× | 14 | 1.2k | ||
| Frances C. O’Connor United States | 12 | 124 0.3× | 394 1.3× | 241 1.0× | 1.1k 5.6× | 71 0.9× | 16 | 1.3k | ||
| L. Lakatta United States | 5 | 112 0.3× | 312 1.0× | 179 0.7× | 944 4.9× | 64 0.8× | 6 | 1.1k | ||
| Kenji Nishibata Japan | 8 | 199 0.5× | 388 1.2× | 68 0.3× | 487 2.5× | 43 0.5× | 12 | 698 | ||
| Daniel P. Wilhite United States | 8 | 169 0.4× | 116 0.4× | 99 0.4× | 188 1.0× | 71 0.9× | 26 | 459 | ||
| Edward T. Mannix United States | 15 | 396 0.9× | 148 0.5× | 309 1.3× | 88 0.5× | 99 1.2× | 30 | 710 |
Countries citing papers authored by Mary Sue Fairbarn
This map shows the geographic impact of Mary Sue Fairbarn'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 Mary Sue Fairbarn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Sue Fairbarn more than expected).
Fields of papers citing papers by Mary Sue Fairbarn
This network shows the impact of papers produced by Mary Sue Fairbarn. 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 Mary Sue Fairbarn. The network helps show where Mary Sue Fairbarn may publish in the future.
Co-authorship network of co-authors of Mary Sue Fairbarn
This figure shows the co-authorship network connecting the top 25 collaborators of Mary Sue Fairbarn. A scholar is included among the top collaborators of Mary Sue Fairbarn 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 Mary Sue Fairbarn. Mary Sue Fairbarn 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.