Mary Witt
About
In The Last Decade
Mary Witt
14 papers receiving 510 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 Witt United States | 9 | 320 | 118 | 63 | 55 | 50 | 14 | 525 | ||
| J. D. Thurman United States | 10 | 180 0.6× | 140 1.2× | 67 1.1× | 16 0.3× | 27 0.5× | 18 | 366 | ||
| I Petri Hungary | 8 | 160 0.5× | 68 0.6× | 37 0.6× | 29 0.5× | 10 0.2× | 24 | 312 | ||
| Rocchina Barbieri Italy | 8 | 223 0.7× | 103 0.9× | 101 1.6× | 23 0.4× | 6 0.1× | 13 | 431 | ||
| J. J. van der Watt South Africa | 15 | 350 1.1× | 221 1.9× | 178 2.8× | 84 1.5× | 30 0.6× | 33 | 769 | ||
| F. G. Peers France | 7 | 352 1.1× | 133 1.1× | 193 3.1× | 54 1.0× | 14 0.3× | 11 | 653 | ||
| Yoshiaki Fujimiya Japan | 15 | 158 0.5× | 177 1.5× | 43 0.7× | 50 0.9× | 23 0.5× | 29 | 890 | ||
| Danica Ramljak United States | 12 | 221 0.7× | 241 2.0× | 85 1.3× | 39 0.7× | 25 0.5× | 13 | 529 | ||
| Ivan Bašić Croatia | 17 | 64 0.2× | 143 1.2× | 89 1.4× | 128 2.3× | 18 0.4× | 39 | 666 | ||
| I. N. Chernozemsky Bulgaria | 14 | 757 2.4× | 177 1.5× | 322 5.1× | 112 2.0× | 61 1.2× | 24 | 1.1k | ||
| Gowsala Sivam United States | 14 | 210 0.7× | 264 2.2× | 20 0.3× | 37 0.7× | 33 0.7× | 16 | 769 |
Countries citing papers authored by Mary Witt
This map shows the geographic impact of Mary 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 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 Witt more than expected).
Fields of papers citing papers by Mary Witt
This network shows the impact of papers produced by Mary 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 Witt. The network helps show where Mary Witt may publish in the future.
Co-authorship network of co-authors of Mary Witt
This figure shows the co-authorship network connecting the top 25 collaborators of Mary Witt. A scholar is included among the top collaborators of Mary 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 Witt. Mary 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.