Mamori Tani
About
In The Last Decade
Mamori Tani
29 papers receiving 450 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mamori Tani Japan | 13 | 286 | 94 | 93 | 92 | 87 | 30 | 462 | ||
| Kenan Aydoğan Türkiye | 11 | 113 0.4× | 74 0.8× | 60 0.6× | 86 0.9× | 17 0.2× | 36 | 356 | ||
| Alejandro Pascual Spain | 11 | 119 0.4× | 31 0.3× | 66 0.7× | 19 0.2× | 48 0.6× | 28 | 436 | ||
| Maryte Papadopoulos United States | 10 | 426 1.5× | 132 1.4× | 19 0.2× | 27 0.3× | 329 3.8× | 14 | 625 | ||
| Meenakshi Umar India | 12 | 92 0.3× | 95 1.0× | 51 0.5× | 223 2.4× | 15 0.2× | 23 | 572 | ||
| Amal S. El‐Shal Egypt | 14 | 33 0.1× | 66 0.7× | 87 0.9× | 46 0.5× | 28 0.3× | 32 | 534 | ||
| R. Corbalán-Vélez Spain | 10 | 85 0.3× | 91 1.0× | 66 0.7× | 24 0.3× | 10 0.1× | 33 | 342 | ||
| Nielsen Fernandez‐Becker United States | 14 | 25 0.1× | 149 1.6× | 123 1.3× | 66 0.7× | 67 0.8× | 41 | 566 | ||
| Anders Ljungberg Sweden | 8 | 118 0.4× | 191 2.0× | 42 0.5× | 40 0.4× | 10 0.1× | 11 | 343 | ||
| Eeva Sliz Finland | 9 | 40 0.1× | 42 0.4× | 124 1.3× | 39 0.4× | 31 0.4× | 16 | 348 | ||
| Françoise Mézin Switzerland | 9 | 67 0.2× | 368 3.9× | 19 0.2× | 104 1.1× | 32 0.4× | 10 | 664 |
Countries citing papers authored by Mamori Tani
This map shows the geographic impact of Mamori Tani'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 Mamori Tani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mamori Tani more than expected).
Fields of papers citing papers by Mamori Tani
This network shows the impact of papers produced by Mamori Tani. 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 Mamori Tani. The network helps show where Mamori Tani may publish in the future.
Co-authorship network of co-authors of Mamori Tani
This figure shows the co-authorship network connecting the top 25 collaborators of Mamori Tani. A scholar is included among the top collaborators of Mamori Tani 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 Mamori Tani. Mamori Tani 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.