Kevin Redding
About
In The Last Decade
Kevin Redding
87 papers receiving 3.6k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Kevin Redding United States | 32 | 3.1k | 877 | 743 | 675 | 617 | 87 | 3.7k | ||
| Noam Adir Israel | 37 | 2.8k 0.9× | 374 0.4× | 1.0k 1.3× | 262 0.4× | 636 1.0× | 111 | 4.5k | ||
| Boris Zybailov United States | 29 | 3.5k 1.2× | 412 0.5× | 373 0.5× | 342 0.5× | 184 0.3× | 52 | 4.4k | ||
| Douglas C. Youvan United States | 31 | 3.2k 1.0× | 881 1.0× | 539 0.7× | 964 1.4× | 116 0.2× | 70 | 3.9k | ||
| Yuichiro Takahashi Japan | 38 | 3.7k 1.2× | 1.1k 1.3× | 1.1k 1.5× | 419 0.6× | 99 0.2× | 115 | 4.5k | ||
| Ursula Liebl France | 30 | 1.9k 0.6× | 395 0.5× | 201 0.3× | 240 0.4× | 626 1.0× | 80 | 2.4k | ||
| William A. Cramer United States | 49 | 7.2k 2.4× | 1.6k 1.8× | 1.2k 1.6× | 1.1k 1.7× | 618 1.0× | 162 | 8.2k | ||
| Li-Shar Huang United States | 24 | 2.6k 0.8× | 252 0.3× | 414 0.6× | 202 0.3× | 299 0.5× | 49 | 3.3k | ||
| Michael I. Verkhovsky Finland | 46 | 5.4k 1.8× | 2.6k 2.9× | 377 0.5× | 1.0k 1.5× | 915 1.5× | 110 | 6.4k | ||
| John Biggins United States | 31 | 2.6k 0.9× | 517 0.6× | 510 0.7× | 487 0.7× | 69 0.1× | 58 | 3.8k | ||
| Albert Guskov Netherlands | 26 | 2.2k 0.7× | 626 0.7× | 382 0.5× | 461 0.7× | 67 0.1× | 69 | 3.1k |
Countries citing papers authored by Kevin Redding
This map shows the geographic impact of Kevin Redding'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 Kevin Redding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Redding more than expected).
Fields of papers citing papers by Kevin Redding
This network shows the impact of papers produced by Kevin Redding. 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 Kevin Redding. The network helps show where Kevin Redding may publish in the future.
Co-authorship network of co-authors of Kevin Redding
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Redding. A scholar is included among the top collaborators of Kevin Redding 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 Kevin Redding. Kevin Redding 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.