Marie‐Therese Haider
About
In The Last Decade
Marie‐Therese Haider
15 papers receiving 332 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Marie‐Therese Haider Germany | 11 | 232 | 150 | 86 | 57 | 43 | 16 | 332 | ||
| Chen Hao Lo United States | 10 | 167 0.7× | 148 1.0× | 76 0.9× | 77 1.4× | 18 0.4× | 17 | 366 | ||
| Steven M.J. Bradbury United Kingdom | 3 | 199 0.9× | 164 1.1× | 60 0.7× | 38 0.7× | 19 0.4× | 3 | 335 | ||
| Bryan M. Webb United States | 8 | 107 0.5× | 199 1.3× | 68 0.8× | 34 0.6× | 29 0.7× | 10 | 323 | ||
| Jeremy S. Frieling United States | 10 | 184 0.8× | 100 0.7× | 62 0.7× | 76 1.3× | 24 0.6× | 21 | 327 | ||
| Margherita Puppo Italy | 8 | 172 0.7× | 391 2.6× | 279 3.2× | 65 1.1× | 58 1.3× | 11 | 605 | ||
| Yin-sheng Chen China | 9 | 99 0.4× | 181 1.2× | 137 1.6× | 40 0.7× | 15 0.3× | 11 | 341 | ||
| Song-Chang Lin United States | 6 | 120 0.5× | 151 1.0× | 68 0.8× | 82 1.4× | 18 0.4× | 11 | 280 | ||
| Céline Le Gall France | 6 | 339 1.5× | 151 1.0× | 80 0.9× | 99 1.7× | 144 3.3× | 6 | 450 | ||
| Seog Young Kim South Korea | 7 | 203 0.9× | 129 0.9× | 77 0.9× | 33 0.6× | 56 1.3× | 9 | 327 | ||
| Hyejin Jin South Korea | 5 | 162 0.7× | 134 0.9× | 78 0.9× | 58 1.0× | 34 0.8× | 6 | 312 |
Countries citing papers authored by Marie‐Therese Haider
This map shows the geographic impact of Marie‐Therese Haider'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 Marie‐Therese Haider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie‐Therese Haider more than expected).
Fields of papers citing papers by Marie‐Therese Haider
This network shows the impact of papers produced by Marie‐Therese Haider. 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 Marie‐Therese Haider. The network helps show where Marie‐Therese Haider may publish in the future.
Co-authorship network of co-authors of Marie‐Therese Haider
This figure shows the co-authorship network connecting the top 25 collaborators of Marie‐Therese Haider. A scholar is included among the top collaborators of Marie‐Therese Haider 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 Marie‐Therese Haider. Marie‐Therese Haider 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.