Phillip Apprill
About
In The Last Decade
Phillip Apprill
9 papers receiving 466 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Phillip Apprill United States | 8 | 342 | 146 | 111 | 85 | 74 | 9 | 499 | ||
| B Haider United States | 14 | 471 1.4× | 152 1.0× | 79 0.7× | 47 0.6× | 114 1.5× | 29 | 633 | ||
| S Jost Germany | 8 | 335 1.0× | 158 1.1× | 202 1.8× | 72 0.8× | 81 1.1× | 18 | 589 | ||
| M M Lyons United States | 13 | 372 1.1× | 72 0.5× | 101 0.9× | 57 0.7× | 92 1.2× | 23 | 634 | ||
| James M. Schmitz United States | 9 | 212 0.6× | 60 0.4× | 63 0.6× | 33 0.4× | 69 0.9× | 12 | 362 | ||
| F Rauscha Austria | 10 | 180 0.5× | 41 0.3× | 81 0.7× | 58 0.7× | 40 0.5× | 34 | 350 | ||
| Kwon Sam Kim South Korea | 12 | 344 1.0× | 115 0.8× | 148 1.3× | 20 0.2× | 99 1.3× | 52 | 579 | ||
| Mitsuhiro Yokota Japan | 8 | 218 0.6× | 63 0.4× | 108 1.0× | 97 1.1× | 56 0.8× | 11 | 399 | ||
| Yoichi Miwa Japan | 12 | 242 0.7× | 68 0.5× | 158 1.4× | 161 1.9× | 125 1.7× | 18 | 545 | ||
| Narisa Futrakul Thailand | 15 | 163 0.5× | 39 0.3× | 59 0.5× | 56 0.7× | 121 1.6× | 52 | 657 | ||
| Shuichi Okamatsu Japan | 11 | 190 0.6× | 93 0.6× | 79 0.7× | 52 0.6× | 50 0.7× | 28 | 338 |
Countries citing papers authored by Phillip Apprill
This map shows the geographic impact of Phillip Apprill'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 Phillip Apprill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Apprill more than expected).
Fields of papers citing papers by Phillip Apprill
This network shows the impact of papers produced by Phillip Apprill. 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 Phillip Apprill. The network helps show where Phillip Apprill may publish in the future.
Co-authorship network of co-authors of Phillip Apprill
This figure shows the co-authorship network connecting the top 25 collaborators of Phillip Apprill. A scholar is included among the top collaborators of Phillip Apprill 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 Phillip Apprill. Phillip Apprill 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.