Gladys Matseke
About
In The Last Decade
Gladys Matseke
38 papers receiving 1.0k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Gladys Matseke South Africa | 18 | 599 | 571 | 385 | 146 | 142 | 40 | 1.0k | ||
| Christopher G. Kemp United States | 17 | 507 0.8× | 610 1.1× | 335 0.9× | 112 0.8× | 191 1.3× | 66 | 1.2k | ||
| Marija Pantelic United Kingdom | 18 | 769 1.3× | 697 1.2× | 295 0.8× | 87 0.6× | 216 1.5× | 34 | 1.2k | ||
| Lucy Makoae South Africa | 18 | 803 1.3× | 548 1.0× | 474 1.2× | 124 0.8× | 82 0.6× | 19 | 1.2k | ||
| Gugu Mchunu South Africa | 15 | 358 0.6× | 338 0.6× | 236 0.6× | 122 0.8× | 137 1.0× | 80 | 892 | ||
| Felicia A. Browne United States | 21 | 563 0.9× | 802 1.4× | 516 1.3× | 132 0.9× | 169 1.2× | 68 | 1.2k | ||
| Sibusiso Sifunda South Africa | 18 | 410 0.7× | 626 1.1× | 197 0.5× | 126 0.9× | 150 1.1× | 78 | 1.0k | ||
| Tracy Kline United States | 17 | 389 0.6× | 516 0.9× | 404 1.0× | 90 0.6× | 102 0.7× | 46 | 853 | ||
| Elsa Heylen United States | 17 | 765 1.3× | 374 0.7× | 452 1.2× | 66 0.5× | 65 0.5× | 55 | 957 | ||
| Jennifer D. Makin South Africa | 21 | 666 1.1× | 641 1.1× | 361 0.9× | 377 2.6× | 115 0.8× | 47 | 1.3k | ||
| Busisiwe P. Ncama South Africa | 18 | 317 0.5× | 322 0.6× | 194 0.5× | 117 0.8× | 71 0.5× | 80 | 835 |
Countries citing papers authored by Gladys Matseke
This map shows the geographic impact of Gladys Matseke'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 Gladys Matseke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gladys Matseke more than expected).
Fields of papers citing papers by Gladys Matseke
This network shows the impact of papers produced by Gladys Matseke. 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 Gladys Matseke. The network helps show where Gladys Matseke may publish in the future.
Co-authorship network of co-authors of Gladys Matseke
This figure shows the co-authorship network connecting the top 25 collaborators of Gladys Matseke. A scholar is included among the top collaborators of Gladys Matseke 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 Gladys Matseke. Gladys Matseke 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.