Mariela Pow‐Sang
About
In The Last Decade
Mariela Pow‐Sang
31 papers receiving 470 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mariela Pow‐Sang United States | 12 | 243 | 193 | 179 | 175 | 77 | 33 | 493 | ||
| Hagen Loertzer Germany | 11 | 335 1.4× | 147 0.8× | 166 0.9× | 74 0.4× | 45 0.6× | 52 | 558 | ||
| Janusz Dembowski Poland | 15 | 227 0.9× | 150 0.8× | 136 0.8× | 98 0.6× | 48 0.6× | 52 | 509 | ||
| Franco Palmisano Italy | 12 | 121 0.5× | 118 0.6× | 207 1.2× | 111 0.6× | 43 0.6× | 52 | 465 | ||
| Christine Sam Austria | 11 | 167 0.7× | 77 0.4× | 109 0.6× | 146 0.8× | 60 0.8× | 35 | 501 | ||
| Roberto Chao United States | 9 | 458 1.9× | 301 1.6× | 150 0.8× | 199 1.1× | 67 0.9× | 12 | 712 | ||
| Bahaa S. Malaeb United States | 13 | 186 0.8× | 279 1.4× | 213 1.2× | 168 1.0× | 36 0.5× | 35 | 507 | ||
| E. E. Roberts United Kingdom | 13 | 129 0.5× | 189 1.0× | 236 1.3× | 203 1.2× | 57 0.7× | 27 | 547 | ||
| Marcos Tobias‐Machado Brazil | 15 | 626 2.6× | 327 1.7× | 238 1.3× | 453 2.6× | 118 1.5× | 36 | 877 | ||
| Benjamin Ayres United Kingdom | 13 | 334 1.4× | 189 1.0× | 77 0.4× | 188 1.1× | 50 0.6× | 67 | 474 | ||
| A Haertig France | 11 | 228 0.9× | 171 0.9× | 203 1.1× | 187 1.1× | 22 0.3× | 35 | 489 |
Countries citing papers authored by Mariela Pow‐Sang
This map shows the geographic impact of Mariela Pow‐Sang'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 Mariela Pow‐Sang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariela Pow‐Sang more than expected).
Fields of papers citing papers by Mariela Pow‐Sang
This network shows the impact of papers produced by Mariela Pow‐Sang. 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 Mariela Pow‐Sang. The network helps show where Mariela Pow‐Sang may publish in the future.
Co-authorship network of co-authors of Mariela Pow‐Sang
This figure shows the co-authorship network connecting the top 25 collaborators of Mariela Pow‐Sang. A scholar is included among the top collaborators of Mariela Pow‐Sang 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 Mariela Pow‐Sang. Mariela Pow‐Sang 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.