Natalie Wisniewski
About
In The Last Decade
Natalie Wisniewski
29 papers receiving 1.5k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Natalie Wisniewski United States | 16 | 568 | 412 | 309 | 304 | 229 | 29 | 1.6k | ||
| Steve Kim United States | 26 | 622 1.1× | 659 1.6× | 149 0.5× | 431 1.4× | 149 0.7× | 92 | 1.9k | ||
| Scott P. Nichols United States | 12 | 316 0.6× | 261 0.6× | 160 0.5× | 210 0.7× | 87 0.4× | 16 | 813 | ||
| Stuart J. Updike United States | 16 | 466 0.8× | 1.1k 2.6× | 631 2.0× | 537 1.8× | 148 0.6× | 45 | 1.9k | ||
| Evan M. Hetrick United States | 14 | 904 1.6× | 179 0.4× | 180 0.6× | 502 1.7× | 306 1.3× | 23 | 2.4k | ||
| Jin Shi China | 23 | 170 0.3× | 359 0.9× | 105 0.3× | 607 2.0× | 133 0.6× | 103 | 1.6k | ||
| Karine Reybier France | 22 | 532 0.9× | 207 0.5× | 67 0.2× | 359 1.2× | 129 0.6× | 54 | 1.7k | ||
| Muhammad Khatib Israel | 18 | 1.4k 2.4× | 678 1.6× | 286 0.9× | 173 0.6× | 101 0.4× | 44 | 2.1k | ||
| Haixia Yu China | 22 | 977 1.7× | 664 1.6× | 169 0.5× | 209 0.7× | 26 0.1× | 83 | 1.4k | ||
| Gyudo Lee South Korea | 26 | 1.0k 1.8× | 674 1.6× | 279 0.9× | 742 2.4× | 41 0.2× | 108 | 2.0k | ||
| Farshad Tehrani United States | 19 | 1.5k 2.6× | 944 2.3× | 298 1.0× | 642 2.1× | 60 0.3× | 23 | 2.6k |
Countries citing papers authored by Natalie Wisniewski
This map shows the geographic impact of Natalie Wisniewski'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 Natalie Wisniewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Wisniewski more than expected).
Fields of papers citing papers by Natalie Wisniewski
This network shows the impact of papers produced by Natalie Wisniewski. 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 Natalie Wisniewski. The network helps show where Natalie Wisniewski may publish in the future.
Co-authorship network of co-authors of Natalie Wisniewski
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Wisniewski. A scholar is included among the top collaborators of Natalie Wisniewski 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 Natalie Wisniewski. Natalie Wisniewski 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.