Nina S. Cauchon
About
In The Last Decade
Nina S. Cauchon
27 papers receiving 621 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Nina S. Cauchon United States | 16 | 215 | 201 | 163 | 131 | 123 | 27 | 661 | ||
| Stephen T. Colgan United States | 12 | 187 0.9× | 127 0.6× | 107 0.7× | 135 1.0× | 84 0.7× | 29 | 548 | ||
| Christopher D. Ellison United States | 15 | 50 0.2× | 113 0.6× | 161 1.0× | 154 1.2× | 98 0.8× | 16 | 664 | ||
| Sau Lawrence Lee United States | 6 | 99 0.5× | 176 0.9× | 73 0.4× | 218 1.7× | 106 0.9× | 7 | 688 | ||
| Ajaz S. Hussain United States | 11 | 144 0.7× | 85 0.4× | 154 0.9× | 311 2.4× | 228 1.9× | 16 | 767 | ||
| Paul Seo United States | 16 | 100 0.5× | 204 1.0× | 109 0.7× | 347 2.6× | 118 1.0× | 24 | 779 | ||
| Sérgio Luiz Dalmora Brazil | 16 | 190 0.9× | 263 1.3× | 205 1.3× | 94 0.7× | 19 0.2× | 81 | 817 | ||
| M. Sherry Ku United States | 12 | 183 0.9× | 174 0.9× | 91 0.6× | 332 2.5× | 169 1.4× | 14 | 974 | ||
| Alan Parr United States | 16 | 62 0.3× | 98 0.5× | 84 0.5× | 361 2.8× | 64 0.5× | 41 | 776 | ||
| Paulo Paixão Portugal | 14 | 87 0.4× | 143 0.7× | 71 0.4× | 160 1.2× | 57 0.5× | 34 | 608 | ||
| John W. Skoug United States | 12 | 62 0.3× | 76 0.4× | 140 0.9× | 421 3.2× | 52 0.4× | 20 | 655 |
Countries citing papers authored by Nina S. Cauchon
This map shows the geographic impact of Nina S. Cauchon'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 Nina S. Cauchon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina S. Cauchon more than expected).
Fields of papers citing papers by Nina S. Cauchon
This network shows the impact of papers produced by Nina S. Cauchon. 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 Nina S. Cauchon. The network helps show where Nina S. Cauchon may publish in the future.
Co-authorship network of co-authors of Nina S. Cauchon
This figure shows the co-authorship network connecting the top 25 collaborators of Nina S. Cauchon. A scholar is included among the top collaborators of Nina S. Cauchon 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 Nina S. Cauchon. Nina S. Cauchon 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.