Lez Rayman‐Bacchus
About
In The Last Decade
Lez Rayman‐Bacchus
29 papers receiving 777 citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Lez Rayman‐Bacchus United Kingdom | 12 | 172 | 149 | 136 | 118 | 103 | 31 | 830 | ||
| Sam Spector New Zealand | 12 | 260 1.5× | 308 2.1× | 132 1.0× | 7 0.1× | 50 0.5× | 27 | 789 | ||
| Lorna Philip United Kingdom | 17 | 61 0.4× | 297 2.0× | 272 2.0× | 39 0.3× | 54 0.5× | 47 | 1.2k | ||
| Steve Brown Australia | 18 | 326 1.9× | 118 0.8× | 55 0.4× | 55 0.5× | 152 1.5× | 66 | 1.2k | ||
| Langche Zeng United States | 16 | 154 0.9× | 692 4.6× | 513 3.8× | 46 0.4× | 28 0.3× | 29 | 1.9k | ||
| Junwei Zheng China | 19 | 222 1.3× | 257 1.7× | 43 0.3× | 28 0.2× | 73 0.7× | 73 | 1.2k | ||
| Bill Clinton | 13 | 66 0.4× | 228 1.5× | 159 1.2× | 97 0.8× | 19 0.2× | 85 | 967 | ||
| Kurt A. Richardson United States | 16 | 195 1.1× | 145 1.0× | 49 0.4× | 57 0.5× | 16 0.2× | 40 | 900 | ||
| G. David Faulkenberry United States | 10 | 52 0.3× | 633 4.2× | 267 2.0× | 58 0.5× | 25 0.2× | 21 | 1.5k | ||
| Jaffar Aman China | 7 | 138 0.8× | 315 2.1× | 118 0.9× | 123 1.0× | 142 1.4× | 9 | 801 | ||
| Riaqa Mubeen China | 11 | 158 0.9× | 471 3.2× | 396 2.9× | 49 0.4× | 132 1.3× | 13 | 1.3k |
Countries citing papers authored by Lez Rayman‐Bacchus
This map shows the geographic impact of Lez Rayman‐Bacchus'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 Lez Rayman‐Bacchus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lez Rayman‐Bacchus more than expected).
Fields of papers citing papers by Lez Rayman‐Bacchus
This network shows the impact of papers produced by Lez Rayman‐Bacchus. 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 Lez Rayman‐Bacchus. The network helps show where Lez Rayman‐Bacchus may publish in the future.
Co-authorship network of co-authors of Lez Rayman‐Bacchus
This figure shows the co-authorship network connecting the top 25 collaborators of Lez Rayman‐Bacchus. A scholar is included among the top collaborators of Lez Rayman‐Bacchus 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 Lez Rayman‐Bacchus. Lez Rayman‐Bacchus 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.