Thea Shavlakadze
About
In The Last Decade
Thea Shavlakadze
21 papers receiving 1.1k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Thea Shavlakadze Australia | 16 | 861 | 356 | 237 | 200 | 145 | 21 | 1.1k | ||
| Cathy M. Gurley United States | 14 | 1.1k 1.3× | 504 1.4× | 253 1.1× | 236 1.2× | 110 0.8× | 15 | 1.5k | ||
| Christophe Hourdé France | 22 | 1.0k 1.2× | 385 1.1× | 248 1.0× | 130 0.7× | 232 1.6× | 50 | 1.3k | ||
| M. Wehling United States | 8 | 912 1.1× | 370 1.0× | 207 0.9× | 258 1.3× | 99 0.7× | 12 | 1.1k | ||
| Mitsunori Miyazaki Japan | 15 | 957 1.1× | 441 1.2× | 412 1.7× | 232 1.2× | 105 0.7× | 29 | 1.3k | ||
| Nadia Charifi Sweden | 9 | 856 1.0× | 484 1.4× | 411 1.7× | 251 1.3× | 100 0.7× | 9 | 1.2k | ||
| Jyothi Mula United States | 14 | 1.2k 1.4× | 598 1.7× | 303 1.3× | 274 1.4× | 211 1.5× | 15 | 1.6k | ||
| Kathleen M. McCormick United States | 11 | 667 0.8× | 212 0.6× | 146 0.6× | 134 0.7× | 117 0.8× | 18 | 885 | ||
| Luca Madaro Italy | 23 | 1.2k 1.4× | 429 1.2× | 156 0.7× | 153 0.8× | 341 2.4× | 46 | 1.7k | ||
| Jiangping Pan United States | 18 | 469 0.5× | 156 0.4× | 122 0.5× | 129 0.6× | 108 0.7× | 29 | 809 | ||
| Raffaella Adami Italy | 17 | 996 1.2× | 254 0.7× | 161 0.7× | 113 0.6× | 233 1.6× | 39 | 1.4k |
Countries citing papers authored by Thea Shavlakadze
This map shows the geographic impact of Thea Shavlakadze'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 Thea Shavlakadze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thea Shavlakadze more than expected).
Fields of papers citing papers by Thea Shavlakadze
This network shows the impact of papers produced by Thea Shavlakadze. 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 Thea Shavlakadze. The network helps show where Thea Shavlakadze may publish in the future.
Co-authorship network of co-authors of Thea Shavlakadze
This figure shows the co-authorship network connecting the top 25 collaborators of Thea Shavlakadze. A scholar is included among the top collaborators of Thea Shavlakadze 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 Thea Shavlakadze. Thea Shavlakadze 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.