Brian Naylor
About
In The Last Decade
Brian Naylor
11 papers receiving 406 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Brian Naylor United Kingdom | 9 | 206 | 118 | 76 | 76 | 72 | 11 | 413 | ||
| Yukihiko Ohishi Japan | 11 | 180 0.9× | 158 1.3× | 107 1.4× | 72 0.9× | 55 0.8× | 51 | 448 | ||
| Merry Tetef United States | 14 | 119 0.6× | 86 0.7× | 147 1.9× | 269 3.5× | 7 0.1× | 29 | 581 | ||
| Fernando Cordera Mexico | 11 | 100 0.5× | 163 1.4× | 187 2.5× | 173 2.3× | 7 0.1× | 28 | 596 | ||
| S. Eckhardt Hungary | 12 | 79 0.4× | 61 0.5× | 113 1.5× | 134 1.8× | 16 0.2× | 44 | 397 | ||
| Thomas Spires United States | 12 | 268 1.3× | 47 0.4× | 170 2.2× | 182 2.4× | 34 0.5× | 15 | 790 | ||
| Hiroaki Kawanishi Japan | 8 | 73 0.4× | 76 0.6× | 139 1.8× | 123 1.6× | 12 0.2× | 30 | 333 | ||
| Kazumi Noguchi Japan | 12 | 235 1.1× | 71 0.6× | 90 1.2× | 110 1.4× | 32 0.4× | 58 | 485 | ||
| Jožica Červek Slovenia | 13 | 202 1.0× | 100 0.8× | 100 1.3× | 375 4.9× | 13 0.2× | 18 | 707 | ||
| T.S. Maughan United Kingdom | 10 | 233 1.1× | 170 1.4× | 91 1.2× | 212 2.8× | 4 0.1× | 23 | 559 | ||
| Rikiya Taoka Japan | 13 | 256 1.2× | 182 1.5× | 123 1.6× | 89 1.2× | 55 0.8× | 64 | 557 |
Countries citing papers authored by Brian Naylor
This map shows the geographic impact of Brian Naylor'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 Brian Naylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Naylor more than expected).
Fields of papers citing papers by Brian Naylor
This network shows the impact of papers produced by Brian Naylor. 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 Brian Naylor. The network helps show where Brian Naylor may publish in the future.
Co-authorship network of co-authors of Brian Naylor
This figure shows the co-authorship network connecting the top 25 collaborators of Brian Naylor. A scholar is included among the top collaborators of Brian Naylor 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 Brian Naylor. Brian Naylor 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.