Mitch Pryor
About
In The Last Decade
Mitch Pryor
60 papers receiving 322 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mitch Pryor United States | 10 | 148 | 106 | 75 | 62 | 41 | 66 | 331 | ||
| José de Gea Fernández Germany | 12 | 173 1.2× | 59 0.6× | 53 0.7× | 136 2.2× | 32 0.8× | 26 | 330 | ||
| Claire Dune France | 9 | 180 1.2× | 71 0.7× | 130 1.7× | 118 1.9× | 42 1.0× | 23 | 369 | ||
| Boris Gromov Switzerland | 7 | 111 0.8× | 74 0.7× | 121 1.6× | 74 1.2× | 37 0.9× | 15 | 340 | ||
| Eui-Jung Jung South Korea | 10 | 89 0.6× | 49 0.5× | 138 1.8× | 104 1.7× | 32 0.8× | 31 | 299 | ||
| Mohd Zamzuri Ab Rashid Malaysia | 10 | 134 0.9× | 118 1.1× | 75 1.0× | 64 1.0× | 104 2.5× | 50 | 377 | ||
| S. M. Bhagya P. Samarakoon Singapore | 13 | 113 0.8× | 169 1.6× | 221 2.9× | 67 1.1× | 19 0.5× | 49 | 421 | ||
| Niklas Bergström Japan | 10 | 129 0.9× | 40 0.4× | 174 2.3× | 50 0.8× | 14 0.3× | 26 | 318 | ||
| Hoa G. Nguyen United States | 9 | 179 1.2× | 108 1.0× | 142 1.9× | 91 1.5× | 48 1.2× | 39 | 451 | ||
| Luciano Nava‐Balanzar Mexico | 6 | 144 1.0× | 68 0.6× | 71 0.9× | 50 0.8× | 119 2.9× | 12 | 360 | ||
| Hu Cheng China | 11 | 157 1.1× | 46 0.4× | 113 1.5× | 81 1.3× | 22 0.5× | 36 | 336 |
Countries citing papers authored by Mitch Pryor
This map shows the geographic impact of Mitch Pryor'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 Mitch Pryor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitch Pryor more than expected).
Fields of papers citing papers by Mitch Pryor
This network shows the impact of papers produced by Mitch Pryor. 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 Mitch Pryor. The network helps show where Mitch Pryor may publish in the future.
Co-authorship network of co-authors of Mitch Pryor
This figure shows the co-authorship network connecting the top 25 collaborators of Mitch Pryor. A scholar is included among the top collaborators of Mitch Pryor 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 Mitch Pryor. Mitch Pryor 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.