Maud Martin
About
In The Last Decade
Maud Martin
34 papers receiving 1.1k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maud Martin Belgium | 17 | 818 | 436 | 135 | 98 | 89 | 34 | 1.1k | ||
| Iman van den Bout South Africa | 12 | 700 0.9× | 423 1.0× | 86 0.6× | 81 0.8× | 54 0.6× | 23 | 975 | ||
| Xiang-Jiao Yang Canada | 14 | 983 1.2× | 286 0.7× | 212 1.6× | 72 0.7× | 130 1.5× | 19 | 1.2k | ||
| Miki Hieda Japan | 19 | 1.1k 1.3× | 263 0.6× | 228 1.7× | 78 0.8× | 71 0.8× | 37 | 1.4k | ||
| Junko Umetani United States | 9 | 668 0.8× | 611 1.4× | 92 0.7× | 146 1.5× | 157 1.8× | 9 | 1.2k | ||
| Yuji Funakoshi Japan | 18 | 786 1.0× | 211 0.5× | 86 0.6× | 92 0.9× | 74 0.8× | 32 | 1.0k | ||
| Dominique T. Brandt Germany | 16 | 764 0.9× | 488 1.1× | 169 1.3× | 141 1.4× | 76 0.9× | 22 | 1.2k | ||
| Nichole Giles Australia | 19 | 683 0.8× | 316 0.7× | 152 1.1× | 52 0.5× | 53 0.6× | 27 | 927 | ||
| M. Kasim Diril Singapore | 13 | 742 0.9× | 521 1.2× | 130 1.0× | 38 0.4× | 94 1.1× | 19 | 987 | ||
| Joseph Tcherkezian Canada | 16 | 1.2k 1.4× | 470 1.1× | 154 1.1× | 88 0.9× | 88 1.0× | 19 | 1.5k | ||
| Jiro Toshima Japan | 20 | 877 1.1× | 715 1.6× | 78 0.6× | 158 1.6× | 104 1.2× | 43 | 1.4k |
Countries citing papers authored by Maud Martin
This map shows the geographic impact of Maud Martin'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 Maud Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maud Martin more than expected).
Fields of papers citing papers by Maud Martin
This network shows the impact of papers produced by Maud Martin. 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 Maud Martin. The network helps show where Maud Martin may publish in the future.
Co-authorship network of co-authors of Maud Martin
This figure shows the co-authorship network connecting the top 25 collaborators of Maud Martin. A scholar is included among the top collaborators of Maud Martin 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 Maud Martin. Maud Martin 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.