Mahdis Kamali
About
In The Last Decade
Mahdis Kamali
34 papers receiving 464 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mahdis Kamali Canada | 13 | 193 | 157 | 109 | 96 | 80 | 34 | 484 | ||
| Shireen Assaf United States | 11 | 190 1.0× | 136 0.9× | 116 1.1× | 27 0.3× | 11 0.1× | 39 | 388 | ||
| Andrea Katryn Blanchard Canada | 12 | 118 0.6× | 125 0.8× | 44 0.4× | 39 0.4× | 62 0.8× | 25 | 455 | ||
| Aroonsri Mongkolchati Thailand | 8 | 216 1.1× | 148 0.9× | 143 1.3× | 47 0.5× | 18 0.2× | 23 | 601 | ||
| Mayumi Ohnishi Japan | 11 | 77 0.4× | 137 0.9× | 31 0.3× | 41 0.4× | 19 0.2× | 64 | 381 | ||
| Luiz de Souza Brazil | 15 | 103 0.5× | 149 0.9× | 48 0.4× | 44 0.5× | 185 2.3× | 48 | 654 | ||
| Miriam Levitt United States | 6 | 121 0.6× | 166 1.1× | 23 0.2× | 18 0.2× | 25 0.3× | 8 | 473 | ||
| Tami S. Rowen United States | 17 | 178 0.9× | 123 0.8× | 40 0.4× | 123 1.3× | 69 0.9× | 40 | 812 | ||
| Kathleen O’Connor United States | 13 | 101 0.5× | 202 1.3× | 29 0.3× | 66 0.7× | 18 0.2× | 29 | 533 | ||
| Elza Berquó Brazil | 14 | 312 1.6× | 376 2.4× | 99 0.9× | 21 0.2× | 16 0.2× | 53 | 820 | ||
| Pedro T. Pisa South Africa | 18 | 190 1.0× | 179 1.1× | 160 1.5× | 58 0.6× | 16 0.2× | 51 | 834 |
Countries citing papers authored by Mahdis Kamali
This map shows the geographic impact of Mahdis Kamali'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 Mahdis Kamali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahdis Kamali more than expected).
Fields of papers citing papers by Mahdis Kamali
This network shows the impact of papers produced by Mahdis Kamali. 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 Mahdis Kamali. The network helps show where Mahdis Kamali may publish in the future.
Co-authorship network of co-authors of Mahdis Kamali
This figure shows the co-authorship network connecting the top 25 collaborators of Mahdis Kamali. A scholar is included among the top collaborators of Mahdis Kamali 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 Mahdis Kamali. Mahdis Kamali 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.