Roman Egger
About
In The Last Decade
Roman Egger
38 papers receiving 2.0k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Roman Egger Austria | 19 | 1.2k | 407 | 286 | 226 | 215 | 43 | 2.0k | ||
| Jang Hyun Kim South Korea | 26 | 922 0.8× | 240 0.6× | 223 0.8× | 84 0.4× | 163 0.8× | 143 | 2.1k | ||
| Joanne Yu Austria | 17 | 914 0.7× | 420 1.0× | 587 2.1× | 73 0.3× | 339 1.6× | 43 | 1.8k | ||
| Karen Levy United States | 21 | 865 0.7× | 139 0.3× | 402 1.4× | 177 0.8× | 134 0.6× | 64 | 2.0k | ||
| Daeho Lee South Korea | 24 | 686 0.6× | 573 1.4× | 240 0.8× | 84 0.4× | 207 1.0× | 109 | 2.2k | ||
| João Guerreiro Portugal | 21 | 1.1k 0.9× | 857 2.1× | 334 1.2× | 411 1.8× | 200 0.9× | 46 | 2.2k | ||
| Bernie Hogan United Kingdom | 20 | 1.3k 1.1× | 113 0.3× | 121 0.4× | 124 0.5× | 217 1.0× | 57 | 2.4k | ||
| Christian Pieter Hoffmann Germany | 23 | 1.0k 0.8× | 389 1.0× | 213 0.7× | 52 0.2× | 138 0.6× | 108 | 1.9k | ||
| Viriya Taecharungroj Thailand | 15 | 683 0.6× | 251 0.6× | 263 0.9× | 46 0.2× | 105 0.5× | 45 | 1.3k | ||
| Patric R. Spence United States | 35 | 2.9k 2.4× | 147 0.4× | 800 2.8× | 200 0.9× | 873 4.1× | 135 | 4.7k | ||
| Nikolaos Korfiatis United Kingdom | 21 | 1.2k 1.0× | 689 1.7× | 395 1.4× | 59 0.3× | 73 0.3× | 60 | 2.2k |
Countries citing papers authored by Roman Egger
This map shows the geographic impact of Roman Egger'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 Roman Egger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Egger more than expected).
Fields of papers citing papers by Roman Egger
This network shows the impact of papers produced by Roman Egger. 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 Roman Egger. The network helps show where Roman Egger may publish in the future.
Co-authorship network of co-authors of Roman Egger
This figure shows the co-authorship network connecting the top 25 collaborators of Roman Egger. A scholar is included among the top collaborators of Roman Egger 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 Roman Egger. Roman Egger 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.