Wayne Naylor
About
In The Last Decade
Wayne Naylor
16 papers receiving 689 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Wayne Naylor United Kingdom | 12 | 463 | 229 | 183 | 123 | 112 | 16 | 721 | ||
| Ruth Martin United Kingdom | 10 | 231 0.5× | 161 0.7× | 61 0.3× | 57 0.5× | 139 1.2× | 16 | 602 | ||
| Felix A. Okah United States | 14 | 138 0.3× | 74 0.3× | 23 0.1× | 261 2.1× | 44 0.4× | 34 | 677 | ||
| Ma’en Zaid Abu‐Qamar Australia | 11 | 75 0.2× | 88 0.4× | 86 0.5× | 18 0.1× | 104 0.9× | 23 | 460 | ||
| Austin F. Lee United States | 15 | 180 0.4× | 84 0.4× | 146 0.8× | 15 0.1× | 143 1.3× | 41 | 591 | ||
| Cornelia L. Griggs United States | 11 | 116 0.3× | 40 0.2× | 32 0.2× | 43 0.3× | 43 0.4× | 43 | 479 | ||
| Amber D Rithalia United Kingdom | 9 | 294 0.6× | 48 0.2× | 130 0.7× | 39 0.3× | 69 0.6× | 9 | 626 | ||
| Grazielle Roberta Freitas da Silva Brazil | 12 | 76 0.2× | 119 0.5× | 27 0.1× | 21 0.2× | 20 0.2× | 86 | 400 | ||
| Hyun Chul Jeong South Korea | 6 | 124 0.3× | 168 0.7× | 86 0.5× | 76 0.6× | 6 0.1× | 19 | 409 | ||
| Jalil Azimian Iran | 10 | 33 0.1× | 67 0.3× | 57 0.3× | 23 0.2× | 57 0.5× | 46 | 337 | ||
| Carol Hilliard Ireland | 10 | 62 0.1× | 102 0.4× | 62 0.3× | 139 1.1× | 25 0.2× | 22 | 332 |
Countries citing papers authored by Wayne Naylor
This map shows the geographic impact of Wayne 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 Wayne Naylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Naylor more than expected).
Fields of papers citing papers by Wayne Naylor
This network shows the impact of papers produced by Wayne 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 Wayne Naylor. The network helps show where Wayne Naylor may publish in the future.
Co-authorship network of co-authors of Wayne Naylor
This figure shows the co-authorship network connecting the top 25 collaborators of Wayne Naylor. A scholar is included among the top collaborators of Wayne 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 Wayne Naylor. Wayne 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.