TJ Willis
About
In The Last Decade
TJ Willis
8 papers receiving 981 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| TJ Willis New Zealand | 8 | 941 | 828 | 429 | 220 | 70 | 8 | 1.1k | ||
| William J. Lindberg United States | 16 | 658 0.7× | 585 0.7× | 285 0.7× | 192 0.9× | 26 0.4× | 26 | 814 | ||
| Steven J. Lindfield Australia | 13 | 746 0.8× | 609 0.7× | 402 0.9× | 116 0.5× | 36 0.5× | 20 | 861 | ||
| Michael R. O’Farrell United States | 17 | 551 0.6× | 650 0.8× | 521 1.2× | 114 0.5× | 43 0.6× | 42 | 908 | ||
| Martin Snickars Finland | 14 | 420 0.4× | 387 0.5× | 249 0.6× | 331 1.5× | 58 0.8× | 24 | 715 | ||
| Clive J. Fox United Kingdom | 10 | 331 0.4× | 631 0.8× | 328 0.8× | 167 0.8× | 44 0.6× | 12 | 782 | ||
| Rolando O. Santos United States | 17 | 531 0.6× | 412 0.5× | 265 0.6× | 221 1.0× | 85 1.2× | 57 | 742 | ||
| A Götz South Africa | 19 | 701 0.7× | 679 0.8× | 427 1.0× | 106 0.5× | 115 1.6× | 43 | 939 | ||
| Gwenaël Cadiou Australia | 10 | 565 0.6× | 489 0.6× | 199 0.5× | 80 0.4× | 103 1.5× | 14 | 699 | ||
| Stephen Ralston United States | 12 | 402 0.4× | 662 0.8× | 346 0.8× | 245 1.1× | 39 0.6× | 14 | 799 | ||
| C.M Roberts United Kingdom | 4 | 985 1.0× | 841 1.0× | 258 0.6× | 324 1.5× | 79 1.1× | 4 | 1.1k |
Countries citing papers authored by TJ Willis
This map shows the geographic impact of TJ Willis'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 TJ Willis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites TJ Willis more than expected).
Fields of papers citing papers by TJ Willis
This network shows the impact of papers produced by TJ Willis. 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 TJ Willis. The network helps show where TJ Willis may publish in the future.
Co-authorship network of co-authors of TJ Willis
This figure shows the co-authorship network connecting the top 25 collaborators of TJ Willis. A scholar is included among the top collaborators of TJ Willis 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 TJ Willis. TJ Willis 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.