Mary Ellyn Witt
About
In The Last Decade
Mary Ellyn Witt
24 papers receiving 1.5k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mary Ellyn Witt United States | 17 | 997 | 710 | 607 | 552 | 237 | 24 | 1.5k | ||
| Fred Rosen United States | 13 | 846 0.8× | 556 0.8× | 669 1.1× | 570 1.0× | 241 1.0× | 22 | 1.3k | ||
| A A Forastiere United States | 9 | 1.5k 1.5× | 1.1k 1.6× | 911 1.5× | 605 1.1× | 232 1.0× | 14 | 2.0k | ||
| T. Vuong Canada | 6 | 1.4k 1.5× | 1.1k 1.5× | 776 1.3× | 532 1.0× | 137 0.6× | 10 | 1.7k | ||
| Roger K.C. Ngan China | 16 | 969 1.0× | 739 1.0× | 671 1.1× | 503 0.9× | 237 1.0× | 39 | 1.5k | ||
| A Rey France | 9 | 926 0.9× | 758 1.1× | 707 1.2× | 642 1.2× | 345 1.5× | 11 | 1.7k | ||
| Lionnel Geoffrois France | 21 | 438 0.4× | 675 1.0× | 595 1.0× | 844 1.5× | 504 2.1× | 90 | 1.6k | ||
| John Showel United States | 13 | 520 0.5× | 398 0.6× | 397 0.7× | 315 0.6× | 134 0.6× | 23 | 1.0k | ||
| L. Geoffrois France | 20 | 420 0.4× | 435 0.6× | 519 0.9× | 555 1.0× | 358 1.5× | 55 | 1.2k | ||
| Kinji Nishiyama Japan | 22 | 384 0.4× | 768 1.1× | 521 0.9× | 727 1.3× | 73 0.3× | 63 | 1.6k | ||
| R. Semrau Germany | 23 | 408 0.4× | 564 0.8× | 493 0.8× | 478 0.9× | 110 0.5× | 59 | 1.3k |
Countries citing papers authored by Mary Ellyn Witt
This map shows the geographic impact of Mary Ellyn Witt'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 Mary Ellyn Witt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Ellyn Witt more than expected).
Fields of papers citing papers by Mary Ellyn Witt
This network shows the impact of papers produced by Mary Ellyn Witt. 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 Mary Ellyn Witt. The network helps show where Mary Ellyn Witt may publish in the future.
Co-authorship network of co-authors of Mary Ellyn Witt
This figure shows the co-authorship network connecting the top 25 collaborators of Mary Ellyn Witt. A scholar is included among the top collaborators of Mary Ellyn Witt 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 Mary Ellyn Witt. Mary Ellyn Witt 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.