Tea Kolar‐Jurkovšek
About
In The Last Decade
Tea Kolar‐Jurkovšek
99 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tea Kolar‐Jurkovšek Slovenia | 19 | 911 | 731 | 187 | 163 | 161 | 108 | 1.2k | ||
| Bogdan Jurkovšek Slovenia | 17 | 591 0.6× | 389 0.5× | 126 0.7× | 130 0.8× | 95 0.6× | 77 | 758 | ||
| Bernd Kaufmann Germany | 18 | 813 0.9× | 471 0.6× | 323 1.7× | 116 0.7× | 116 0.7× | 27 | 1.1k | ||
| Paweł Filipiak Poland | 17 | 786 0.9× | 269 0.4× | 260 1.4× | 110 0.7× | 179 1.1× | 46 | 901 | ||
| Birgit Niebuhr Germany | 20 | 765 0.8× | 263 0.4× | 345 1.8× | 139 0.9× | 143 0.9× | 54 | 895 | ||
| Luc G. Bulot France | 21 | 1.1k 1.3× | 604 0.8× | 684 3.7× | 136 0.8× | 138 0.9× | 80 | 1.5k | ||
| Mahmoud Reza Majidifard Iran | 19 | 768 0.8× | 755 1.0× | 326 1.7× | 75 0.5× | 195 1.2× | 63 | 1.3k | ||
| Telm Bover‐Arnal Spain | 20 | 684 0.8× | 320 0.4× | 408 2.2× | 149 0.9× | 132 0.8× | 59 | 988 | ||
| H. Kozur United States | 18 | 1.2k 1.3× | 946 1.3× | 492 2.6× | 113 0.7× | 245 1.5× | 30 | 1.7k | ||
| Jin Yugan China | 18 | 1.2k 1.4× | 469 0.6× | 439 2.3× | 161 1.0× | 286 1.8× | 45 | 1.4k | ||
| Luc Hance Belgium | 13 | 628 0.7× | 393 0.5× | 356 1.9× | 87 0.5× | 65 0.4× | 41 | 888 |
Countries citing papers authored by Tea Kolar‐Jurkovšek
This map shows the geographic impact of Tea Kolar‐Jurkovšek'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 Tea Kolar‐Jurkovšek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tea Kolar‐Jurkovšek more than expected).
Fields of papers citing papers by Tea Kolar‐Jurkovšek
This network shows the impact of papers produced by Tea Kolar‐Jurkovšek. 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 Tea Kolar‐Jurkovšek. The network helps show where Tea Kolar‐Jurkovšek may publish in the future.
Co-authorship network of co-authors of Tea Kolar‐Jurkovšek
This figure shows the co-authorship network connecting the top 25 collaborators of Tea Kolar‐Jurkovšek. A scholar is included among the top collaborators of Tea Kolar‐Jurkovšek 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 Tea Kolar‐Jurkovšek. Tea Kolar‐Jurkovšek 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.