Tell Tuttle
About
In The Last Decade
Tell Tuttle
154 papers receiving 6.4k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tell Tuttle United Kingdom | 44 | 3.6k | 2.1k | 2.0k | 1.1k | 971 | 154 | 6.5k | ||
| Yan Zhao United States | 40 | 2.6k 0.7× | 663 0.3× | 1.9k 0.9× | 1.3k 1.3× | 698 0.7× | 188 | 5.4k | ||
| Yun Yan China | 43 | 3.0k 0.8× | 2.0k 0.9× | 1.2k 0.6× | 3.1k 2.9× | 398 0.4× | 202 | 6.2k | ||
| Frédéric Taran France | 41 | 2.6k 0.7× | 436 0.2× | 1.7k 0.8× | 886 0.8× | 607 0.6× | 167 | 5.2k | ||
| Anthony W. Coleman France | 40 | 2.9k 0.8× | 568 0.3× | 1.6k 0.8× | 1.4k 1.3× | 649 0.7× | 191 | 5.4k | ||
| Lee A. Fielding United Kingdom | 36 | 2.8k 0.8× | 818 0.4× | 831 0.4× | 2.0k 1.8× | 340 0.4× | 97 | 5.1k | ||
| Stefano V. Meille Italy | 40 | 2.0k 0.6× | 1.4k 0.7× | 478 0.2× | 1.1k 1.0× | 1.1k 1.1× | 164 | 6.1k | ||
| Juan R. Granja Spain | 40 | 4.7k 1.3× | 5.5k 2.6× | 5.5k 2.8× | 1.9k 1.8× | 612 0.6× | 122 | 9.5k | ||
| Dieter Schollmeyer Germany | 50 | 6.5k 1.8× | 361 0.2× | 930 0.5× | 1.9k 1.8× | 1.2k 1.2× | 460 | 8.8k | ||
| Chulhee Kim South Korea | 42 | 1.9k 0.5× | 2.7k 1.3× | 1.5k 0.7× | 1.7k 1.6× | 237 0.2× | 161 | 5.9k | ||
| Xiao‐Li Zhao China | 38 | 4.1k 1.1× | 463 0.2× | 532 0.3× | 1.4k 1.3× | 1.7k 1.7× | 214 | 5.8k |
Countries citing papers authored by Tell Tuttle
This map shows the geographic impact of Tell Tuttle'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 Tell Tuttle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tell Tuttle more than expected).
Fields of papers citing papers by Tell Tuttle
This network shows the impact of papers produced by Tell Tuttle. 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 Tell Tuttle. The network helps show where Tell Tuttle may publish in the future.
Co-authorship network of co-authors of Tell Tuttle
This figure shows the co-authorship network connecting the top 25 collaborators of Tell Tuttle. A scholar is included among the top collaborators of Tell Tuttle 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 Tell Tuttle. Tell Tuttle 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.