Hayley Evers-King
About
In The Last Decade
Hayley Evers-King
14 papers receiving 378 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Hayley Evers-King United Kingdom | 12 | 279 | 153 | 136 | 54 | 38 | 14 | 394 | ||
| Druon Jean-Noel France | 6 | 286 1.0× | 153 1.0× | 127 0.9× | 36 0.7× | 32 0.8× | 16 | 378 | ||
| Hisashi Yamaguchi Japan | 5 | 449 1.6× | 175 1.1× | 105 0.8× | 63 1.2× | 27 0.7× | 8 | 497 | ||
| Bertrand Saulquin France | 8 | 303 1.1× | 172 1.1× | 110 0.8× | 33 0.6× | 19 0.5× | 13 | 388 | ||
| Sónia Cristina Portugal | 11 | 248 0.9× | 134 0.9× | 111 0.8× | 18 0.3× | 46 1.2× | 22 | 352 | ||
| R. M. Dwivedi India | 15 | 429 1.5× | 315 2.1× | 238 1.8× | 29 0.5× | 27 0.7× | 38 | 593 | ||
| Michela Sammartino Italy | 10 | 286 1.0× | 143 0.9× | 131 1.0× | 29 0.5× | 9 0.2× | 12 | 369 | ||
| Silvia Pardo United Kingdom | 7 | 241 0.9× | 102 0.7× | 99 0.7× | 21 0.4× | 10 0.3× | 10 | 296 | ||
| Dominique Durand Norway | 9 | 138 0.5× | 58 0.4× | 62 0.5× | 29 0.5× | 19 0.5× | 16 | 213 | ||
| C. R. McClain United States | 4 | 451 1.6× | 250 1.6× | 84 0.6× | 107 2.0× | 11 0.3× | 12 | 506 | ||
| Stéfani Novoa Spain | 6 | 172 0.6× | 80 0.5× | 71 0.5× | 15 0.3× | 18 0.5× | 8 | 248 |
Countries citing papers authored by Hayley Evers-King
This map shows the geographic impact of Hayley Evers-King'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 Hayley Evers-King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hayley Evers-King more than expected).
Fields of papers citing papers by Hayley Evers-King
This network shows the impact of papers produced by Hayley Evers-King. 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 Hayley Evers-King. The network helps show where Hayley Evers-King may publish in the future.
Co-authorship network of co-authors of Hayley Evers-King
This figure shows the co-authorship network connecting the top 25 collaborators of Hayley Evers-King. A scholar is included among the top collaborators of Hayley Evers-King 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 Hayley Evers-King. Hayley Evers-King 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.