Tamar Guetta‐Baranes
About
In The Last Decade
Tamar Guetta‐Baranes
19 papers receiving 527 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tamar Guetta‐Baranes United Kingdom | 12 | 204 | 163 | 107 | 104 | 90 | 19 | 535 | ||
| Tania Islam Bangladesh | 13 | 365 1.8× | 83 0.5× | 90 0.8× | 33 0.3× | 67 0.7× | 19 | 588 | ||
| Guoqiang Xu China | 15 | 176 0.9× | 82 0.5× | 91 0.9× | 27 0.3× | 60 0.7× | 43 | 686 | ||
| Richard Kirkland United States | 7 | 175 0.9× | 173 1.1× | 33 0.3× | 138 1.3× | 173 1.9× | 16 | 640 | ||
| Markus Langkamp Germany | 12 | 172 0.8× | 76 0.5× | 50 0.5× | 49 0.5× | 64 0.7× | 16 | 532 | ||
| In Young Choi South Korea | 12 | 247 1.2× | 356 2.2× | 47 0.4× | 41 0.4× | 57 0.6× | 29 | 822 | ||
| Mohammed Almannai Saudi Arabia | 17 | 597 2.9× | 125 0.8× | 61 0.6× | 32 0.3× | 137 1.5× | 43 | 935 | ||
| Yubing Dai China | 11 | 198 1.0× | 114 0.7× | 40 0.4× | 60 0.6× | 73 0.8× | 21 | 608 | ||
| Úrsula Muñoz Spain | 16 | 283 1.4× | 157 1.0× | 22 0.2× | 42 0.4× | 57 0.6× | 41 | 691 | ||
| Zhenyu Yan China | 6 | 322 1.6× | 226 1.4× | 25 0.2× | 85 0.8× | 30 0.3× | 31 | 851 | ||
| Mary McMenamin United Kingdom | 12 | 269 1.3× | 69 0.4× | 24 0.2× | 68 0.7× | 66 0.7× | 17 | 643 |
Countries citing papers authored by Tamar Guetta‐Baranes
This map shows the geographic impact of Tamar Guetta‐Baranes'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 Tamar Guetta‐Baranes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamar Guetta‐Baranes more than expected).
Fields of papers citing papers by Tamar Guetta‐Baranes
This network shows the impact of papers produced by Tamar Guetta‐Baranes. 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 Tamar Guetta‐Baranes. The network helps show where Tamar Guetta‐Baranes may publish in the future.
Co-authorship network of co-authors of Tamar Guetta‐Baranes
This figure shows the co-authorship network connecting the top 25 collaborators of Tamar Guetta‐Baranes. A scholar is included among the top collaborators of Tamar Guetta‐Baranes 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 Tamar Guetta‐Baranes. Tamar Guetta‐Baranes 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.