Danuta Gabryś‐Barker
About
In The Last Decade
Danuta Gabryś‐Barker
23 papers receiving 329 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Danuta Gabryś‐Barker Poland | 9 | 195 | 107 | 106 | 94 | 74 | 29 | 350 | ||
| László Vincze Finland | 10 | 191 1.0× | 138 1.3× | 87 0.8× | 77 0.8× | 81 1.1× | 35 | 415 | ||
| Pia Resnik Austria | 9 | 154 0.8× | 157 1.5× | 69 0.7× | 75 0.8× | 83 1.1× | 25 | 360 | ||
| Jim King United Kingdom | 11 | 264 1.4× | 180 1.7× | 123 1.2× | 203 2.2× | 150 2.0× | 26 | 548 | ||
| Art Tsang Hong Kong | 14 | 275 1.4× | 121 1.1× | 169 1.6× | 166 1.8× | 129 1.7× | 52 | 549 | ||
| Ikuko Nakane Australia | 12 | 287 1.5× | 103 1.0× | 132 1.2× | 50 0.5× | 22 0.3× | 27 | 425 | ||
| Anna Mystkowska‐Wiertelak Poland | 13 | 399 2.0× | 196 1.8× | 198 1.9× | 125 1.3× | 146 2.0× | 31 | 604 | ||
| Jakub Bielak Poland | 10 | 214 1.1× | 115 1.1× | 90 0.8× | 78 0.8× | 129 1.7× | 19 | 362 | ||
| Yinxing Jin China | 9 | 237 1.2× | 234 2.2× | 83 0.8× | 118 1.3× | 136 1.8× | 15 | 490 | ||
| Peter Göbel Japan | 8 | 409 2.1× | 110 1.0× | 219 2.1× | 153 1.6× | 201 2.7× | 15 | 579 | ||
| Seyyed Ayatollah Razmjoo Iran | 12 | 172 0.9× | 40 0.4× | 132 1.2× | 130 1.4× | 102 1.4× | 46 | 376 |
Countries citing papers authored by Danuta Gabryś‐Barker
This map shows the geographic impact of Danuta Gabryś‐Barker'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 Danuta Gabryś‐Barker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danuta Gabryś‐Barker more than expected).
Fields of papers citing papers by Danuta Gabryś‐Barker
This network shows the impact of papers produced by Danuta Gabryś‐Barker. 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 Danuta Gabryś‐Barker. The network helps show where Danuta Gabryś‐Barker may publish in the future.
Co-authorship network of co-authors of Danuta Gabryś‐Barker
This figure shows the co-authorship network connecting the top 25 collaborators of Danuta Gabryś‐Barker. A scholar is included among the top collaborators of Danuta Gabryś‐Barker 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 Danuta Gabryś‐Barker. Danuta Gabryś‐Barker 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.