Svenja Seide
About
In The Last Decade
Svenja Seide
31 papers receiving 850 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Svenja Seide Germany | 15 | 223 | 178 | 141 | 119 | 101 | 34 | 862 | ||
| Daniel Mines United States | 20 | 324 1.5× | 118 0.7× | 78 0.6× | 76 0.6× | 63 0.6× | 34 | 1.0k | ||
| Mandana Kamgar United States | 15 | 160 0.7× | 101 0.6× | 263 1.9× | 115 1.0× | 112 1.1× | 51 | 905 | ||
| Jennifer Sung United States | 22 | 307 1.4× | 231 1.3× | 356 2.5× | 127 1.1× | 82 0.8× | 46 | 1.6k | ||
| Mara M. Epstein United States | 17 | 74 0.3× | 181 1.0× | 272 1.9× | 129 1.1× | 142 1.4× | 61 | 822 | ||
| Audra Boscoe United States | 14 | 213 1.0× | 172 1.0× | 104 0.7× | 76 0.6× | 31 0.3× | 29 | 955 | ||
| Rieko Okada Japan | 18 | 446 2.0× | 133 0.7× | 210 1.5× | 136 1.1× | 60 0.6× | 73 | 1.2k | ||
| Irina Proskorovsky United States | 17 | 262 1.2× | 195 1.1× | 255 1.8× | 117 1.0× | 33 0.3× | 65 | 1.2k | ||
| Craig D. McClain United States | 17 | 140 0.6× | 93 0.5× | 220 1.6× | 193 1.6× | 39 0.4× | 48 | 1.1k | ||
| Hannah Young United Kingdom | 19 | 301 1.3× | 108 0.6× | 110 0.8× | 165 1.4× | 62 0.6× | 65 | 1.1k | ||
| Halil Önder Ersöz Türkiye | 19 | 221 1.0× | 104 0.6× | 60 0.4× | 148 1.2× | 38 0.4× | 56 | 1.2k |
Countries citing papers authored by Svenja Seide
This map shows the geographic impact of Svenja Seide'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 Svenja Seide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Svenja Seide more than expected).
Fields of papers citing papers by Svenja Seide
This network shows the impact of papers produced by Svenja Seide. 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 Svenja Seide. The network helps show where Svenja Seide may publish in the future.
Co-authorship network of co-authors of Svenja Seide
This figure shows the co-authorship network connecting the top 25 collaborators of Svenja Seide. A scholar is included among the top collaborators of Svenja Seide 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 Svenja Seide. Svenja Seide 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.