Temesgen Garoma
About
In The Last Decade
Temesgen Garoma
24 papers receiving 760 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Temesgen Garoma United States | 14 | 441 | 304 | 235 | 169 | 150 | 25 | 777 | ||
| Kireesan Sornalingam Australia | 8 | 473 1.1× | 325 1.1× | 222 0.9× | 102 0.6× | 106 0.7× | 10 | 839 | ||
| Carolina Fonsêca Couto Brazil | 12 | 414 0.9× | 320 1.1× | 145 0.6× | 127 0.8× | 120 0.8× | 15 | 788 | ||
| Petia Mijaylova Nacheva Mexico | 13 | 334 0.8× | 263 0.9× | 174 0.7× | 98 0.6× | 116 0.8× | 41 | 634 | ||
| Gloria Roldán Spain | 16 | 579 1.3× | 500 1.6× | 230 1.0× | 243 1.4× | 126 0.8× | 21 | 884 | ||
| Guomin Cao China | 17 | 603 1.4× | 381 1.3× | 282 1.2× | 239 1.4× | 194 1.3× | 35 | 1.1k | ||
| Myun-Joo Lee South Korea | 15 | 375 0.9× | 343 1.1× | 155 0.7× | 107 0.6× | 159 1.1× | 22 | 735 | ||
| Lidia Favier France | 17 | 294 0.7× | 317 1.0× | 332 1.4× | 135 0.8× | 116 0.8× | 71 | 994 | ||
| Edyta Kudlek Poland | 16 | 259 0.6× | 234 0.8× | 156 0.7× | 182 1.1× | 160 1.1× | 78 | 703 | ||
| D.J. de Ridder Netherlands | 11 | 337 0.8× | 271 0.9× | 123 0.5× | 147 0.9× | 148 1.0× | 14 | 638 | ||
| Jiong Gao China | 11 | 348 0.8× | 155 0.5× | 245 1.0× | 116 0.7× | 72 0.5× | 13 | 611 |
Countries citing papers authored by Temesgen Garoma
This map shows the geographic impact of Temesgen Garoma'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 Temesgen Garoma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Temesgen Garoma more than expected).
Fields of papers citing papers by Temesgen Garoma
This network shows the impact of papers produced by Temesgen Garoma. 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 Temesgen Garoma. The network helps show where Temesgen Garoma may publish in the future.
Co-authorship network of co-authors of Temesgen Garoma
This figure shows the co-authorship network connecting the top 25 collaborators of Temesgen Garoma. A scholar is included among the top collaborators of Temesgen Garoma 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 Temesgen Garoma. Temesgen Garoma 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.