Tama Sobe
About
In The Last Decade
Tama Sobe
14 papers receiving 1.8k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tama Sobe Israel | 11 | 1.4k | 531 | 432 | 220 | 200 | 14 | 1.8k | ||
| Toni R. Prezant United States | 20 | 1.9k 1.4× | 660 1.2× | 88 0.2× | 249 1.1× | 153 0.8× | 28 | 2.9k | ||
| H. Elizabeth Shick United States | 12 | 763 0.6× | 132 0.2× | 426 1.0× | 137 0.6× | 112 0.6× | 14 | 1.7k | ||
| Lijin Dong United States | 24 | 1.4k 1.0× | 83 0.2× | 133 0.3× | 274 1.2× | 176 0.9× | 64 | 2.0k | ||
| S.D.M. Brown United Kingdom | 25 | 1.9k 1.4× | 219 0.4× | 78 0.2× | 113 0.5× | 198 1.0× | 71 | 2.5k | ||
| Nejat Mahdieh Iran | 17 | 860 0.6× | 438 0.8× | 70 0.2× | 154 0.7× | 63 0.3× | 95 | 1.6k | ||
| Jason R. Willer United States | 19 | 1.2k 0.9× | 102 0.2× | 157 0.4× | 170 0.8× | 255 1.3× | 31 | 1.8k | ||
| Yandan Yang United States | 18 | 832 0.6× | 170 0.3× | 222 0.5× | 244 1.1× | 123 0.6× | 35 | 1.4k | ||
| L.‐C. Tsui Canada | 26 | 1.3k 1.0× | 154 0.3× | 100 0.2× | 76 0.3× | 131 0.7× | 50 | 2.5k | ||
| Yoshiko Maeda Japan | 18 | 1.4k 1.0× | 154 0.3× | 71 0.2× | 168 0.8× | 216 1.1× | 41 | 2.5k | ||
| Osvaldo Rey United States | 29 | 1.6k 1.2× | 67 0.1× | 250 0.6× | 132 0.6× | 271 1.4× | 57 | 2.4k |
Countries citing papers authored by Tama Sobe
This map shows the geographic impact of Tama Sobe'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 Tama Sobe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tama Sobe more than expected).
Fields of papers citing papers by Tama Sobe
This network shows the impact of papers produced by Tama Sobe. 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 Tama Sobe. The network helps show where Tama Sobe may publish in the future.
Co-authorship network of co-authors of Tama Sobe
This figure shows the co-authorship network connecting the top 25 collaborators of Tama Sobe. A scholar is included among the top collaborators of Tama Sobe 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 Tama Sobe. Tama Sobe 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.