Daniela Großmann
About
In The Last Decade
Daniela Großmann
15 papers receiving 886 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Daniela Großmann Germany | 11 | 785 | 354 | 233 | 129 | 124 | 15 | 899 | ||
| Sherry Miller United States | 7 | 837 1.1× | 367 1.0× | 251 1.1× | 170 1.3× | 115 0.9× | 10 | 967 | ||
| Niels Wynant Belgium | 17 | 775 1.0× | 457 1.3× | 265 1.1× | 109 0.8× | 86 0.7× | 25 | 953 | ||
| Attilio Pane Brazil | 13 | 848 1.1× | 378 1.1× | 443 1.9× | 287 2.2× | 82 0.7× | 26 | 1.2k | ||
| Peng-Lu Pan China | 8 | 373 0.5× | 390 1.1× | 129 0.6× | 189 1.5× | 230 1.9× | 8 | 675 | ||
| Ioannis Livadaras Greece | 16 | 626 0.8× | 605 1.7× | 214 0.9× | 143 1.1× | 59 0.5× | 24 | 1.0k | ||
| Teresa D. Shippy United States | 16 | 577 0.7× | 191 0.5× | 135 0.6× | 261 2.0× | 183 1.5× | 36 | 747 | ||
| Laura R. Serbus United States | 13 | 561 0.7× | 673 1.9× | 173 0.7× | 152 1.2× | 44 0.4× | 18 | 1.3k | ||
| Shingo Kikuta Japan | 19 | 418 0.5× | 467 1.3× | 221 0.9× | 135 1.0× | 237 1.9× | 41 | 848 | ||
| Minjin Han China | 18 | 464 0.6× | 213 0.6× | 334 1.4× | 147 1.1× | 107 0.9× | 59 | 776 | ||
| Baosheng Zeng China | 17 | 579 0.7× | 521 1.5× | 116 0.5× | 240 1.9× | 268 2.2× | 22 | 914 |
Countries citing papers authored by Daniela Großmann
This map shows the geographic impact of Daniela Großmann'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 Daniela Großmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Großmann more than expected).
Fields of papers citing papers by Daniela Großmann
This network shows the impact of papers produced by Daniela Großmann. 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 Daniela Großmann. The network helps show where Daniela Großmann may publish in the future.
Co-authorship network of co-authors of Daniela Großmann
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Großmann. A scholar is included among the top collaborators of Daniela Großmann 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 Daniela Großmann. Daniela Großmann 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.