Meme Wang‐Schweig
About
In The Last Decade
Meme Wang‐Schweig
10 papers receiving 254 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Meme Wang‐Schweig United States | 7 | 146 | 90 | 65 | 60 | 57 | 12 | 260 | ||
| Veronica Pisinger Denmark | 10 | 70 0.5× | 115 1.3× | 29 0.4× | 105 1.8× | 29 0.5× | 26 | 250 | ||
| James C. Lin United States | 9 | 204 1.4× | 123 1.4× | 124 1.9× | 36 0.6× | 28 0.5× | 14 | 334 | ||
| Peter Nygaard United States | 9 | 219 1.5× | 175 1.9× | 75 1.2× | 35 0.6× | 34 0.6× | 16 | 343 | ||
| Patricia A. Engler United States | 10 | 138 0.9× | 88 1.0× | 33 0.5× | 124 2.1× | 34 0.6× | 13 | 341 | ||
| Jalene Herron United States | 9 | 142 1.0× | 85 0.9× | 20 0.3× | 48 0.8× | 20 0.4× | 23 | 262 | ||
| Rachael Mason United Kingdom | 3 | 66 0.5× | 82 0.9× | 36 0.6× | 145 2.4× | 21 0.4× | 14 | 278 | ||
| Alex Crawford United Kingdom | 10 | 142 1.0× | 95 1.1× | 59 0.9× | 33 0.6× | 41 0.7× | 21 | 297 | ||
| Lex Lemmers Netherlands | 12 | 297 2.0× | 180 2.0× | 78 1.2× | 76 1.3× | 29 0.5× | 20 | 446 | ||
| Haydeé Rosovsky Mexico | 10 | 229 1.6× | 164 1.8× | 86 1.3× | 135 2.3× | 34 0.6× | 23 | 464 | ||
| Diane Greenberg United States | 9 | 147 1.0× | 195 2.2× | 25 0.4× | 69 1.1× | 18 0.3× | 12 | 383 |
Countries citing papers authored by Meme Wang‐Schweig
This map shows the geographic impact of Meme Wang‐Schweig'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 Meme Wang‐Schweig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meme Wang‐Schweig more than expected).
Fields of papers citing papers by Meme Wang‐Schweig
This network shows the impact of papers produced by Meme Wang‐Schweig. 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 Meme Wang‐Schweig. The network helps show where Meme Wang‐Schweig may publish in the future.
Co-authorship network of co-authors of Meme Wang‐Schweig
This figure shows the co-authorship network connecting the top 25 collaborators of Meme Wang‐Schweig. A scholar is included among the top collaborators of Meme Wang‐Schweig 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 Meme Wang‐Schweig. Meme Wang‐Schweig 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.