Jury Gladkich
About
In The Last Decade
Jury Gladkich
32 papers receiving 1.6k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Jury Gladkich Germany | 22 | 1.0k | 724 | 643 | 137 | 134 | 32 | 1.6k | ||
| Georgios Kallifatidis United States | 18 | 940 0.9× | 646 0.9× | 364 0.6× | 214 1.6× | 124 0.9× | 26 | 1.7k | ||
| Ina A. Eilertsen Norway | 16 | 943 0.9× | 784 1.1× | 498 0.8× | 146 1.1× | 186 1.4× | 26 | 1.7k | ||
| Alexei V. Salnikov Germany | 17 | 870 0.8× | 802 1.1× | 433 0.7× | 183 1.3× | 153 1.1× | 23 | 1.6k | ||
| Leina Ma China | 24 | 1.6k 1.6× | 536 0.7× | 793 1.2× | 186 1.4× | 164 1.2× | 50 | 2.2k | ||
| Chi-Hung Huang Taiwan | 15 | 1.2k 1.2× | 713 1.0× | 497 0.8× | 110 0.8× | 127 0.9× | 27 | 1.8k | ||
| Mina Maftouh Iran | 26 | 1.2k 1.2× | 648 0.9× | 752 1.2× | 197 1.4× | 189 1.4× | 39 | 1.9k | ||
| Amro Aboukameel United States | 31 | 2.0k 1.9× | 1.0k 1.4× | 611 1.0× | 219 1.6× | 166 1.2× | 91 | 2.8k | ||
| Sheng-Chieh Hsu Taiwan | 16 | 1.0k 1.0× | 811 1.1× | 364 0.6× | 151 1.1× | 286 2.1× | 16 | 1.7k | ||
| Alexandra Grassian United States | 12 | 1.2k 1.2× | 367 0.5× | 797 1.2× | 106 0.8× | 125 0.9× | 17 | 1.7k | ||
| Rosa Puca Italy | 20 | 837 0.8× | 552 0.8× | 392 0.6× | 110 0.8× | 63 0.5× | 31 | 1.3k |
Countries citing papers authored by Jury Gladkich
This map shows the geographic impact of Jury Gladkich'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 Jury Gladkich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jury Gladkich more than expected).
Fields of papers citing papers by Jury Gladkich
This network shows the impact of papers produced by Jury Gladkich. 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 Jury Gladkich. The network helps show where Jury Gladkich may publish in the future.
Co-authorship network of co-authors of Jury Gladkich
This figure shows the co-authorship network connecting the top 25 collaborators of Jury Gladkich. A scholar is included among the top collaborators of Jury Gladkich 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 Jury Gladkich. Jury Gladkich 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.