Georg Daeschlein
About
In The Last Decade
Georg Daeschlein
116 papers receiving 3.1k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Georg Daeschlein Germany | 30 | 1.7k | 599 | 541 | 535 | 378 | 122 | 3.2k | ||
| Georg Isbary Germany | 22 | 2.4k 1.5× | 543 0.9× | 1.0k 1.9× | 432 0.8× | 367 1.0× | 36 | 3.2k | ||
| Bouke K. H. L. Boekema Netherlands | 19 | 412 0.2× | 180 0.3× | 296 0.5× | 304 0.6× | 630 1.7× | 44 | 1.8k | ||
| Suresh G. Joshi United States | 25 | 908 0.5× | 194 0.3× | 463 0.9× | 53 0.1× | 434 1.1× | 70 | 2.3k | ||
| Raees Ahmed Pakistan | 15 | 577 0.3× | 215 0.4× | 216 0.4× | 87 0.2× | 183 0.5× | 70 | 1.4k | ||
| Pinar Avci United States | 24 | 860 0.5× | 146 0.2× | 103 0.2× | 164 0.3× | 647 1.7× | 38 | 3.7k | ||
| Yuji Kikuchi Japan | 36 | 197 0.1× | 365 0.6× | 579 1.1× | 103 0.2× | 639 1.7× | 180 | 4.4k | ||
| Josimeri Hebling Brazil | 47 | 1.2k 0.7× | 91 0.2× | 63 0.1× | 120 0.2× | 427 1.1× | 274 | 8.2k | ||
| Tianhong Dai United States | 33 | 607 0.4× | 187 0.3× | 41 0.1× | 279 0.5× | 643 1.7× | 40 | 3.8k | ||
| Markus Stücker Germany | 40 | 301 0.2× | 1.1k 1.9× | 124 0.2× | 398 0.7× | 386 1.0× | 338 | 5.8k | ||
| Magesh Sadasivam United States | 15 | 563 0.3× | 84 0.1× | 91 0.2× | 89 0.2× | 484 1.3× | 19 | 2.5k |
Countries citing papers authored by Georg Daeschlein
This map shows the geographic impact of Georg Daeschlein'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 Georg Daeschlein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Daeschlein more than expected).
Fields of papers citing papers by Georg Daeschlein
This network shows the impact of papers produced by Georg Daeschlein. 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 Georg Daeschlein. The network helps show where Georg Daeschlein may publish in the future.
Co-authorship network of co-authors of Georg Daeschlein
This figure shows the co-authorship network connecting the top 25 collaborators of Georg Daeschlein. A scholar is included among the top collaborators of Georg Daeschlein 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 Georg Daeschlein. Georg Daeschlein 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.