Nassia Methia
About
In The Last Decade
Nassia Methia
13 papers receiving 1.8k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Nassia Methia France | 9 | 1.5k | 380 | 356 | 335 | 302 | 14 | 1.9k | ||
| Yoshiyuki Kurata Japan | 26 | 1.3k 0.9× | 330 0.9× | 244 0.7× | 267 0.8× | 402 1.3× | 90 | 2.2k | ||
| Masamichi Shiraga Japan | 23 | 877 0.6× | 254 0.7× | 159 0.4× | 310 0.9× | 401 1.3× | 44 | 1.6k | ||
| Michèle Souyri France | 22 | 1.2k 0.8× | 547 1.4× | 258 0.7× | 262 0.8× | 909 3.0× | 47 | 2.5k | ||
| Nadine J.A. Mattheij Netherlands | 19 | 795 0.5× | 162 0.4× | 238 0.7× | 329 1.0× | 293 1.0× | 21 | 1.3k | ||
| Wolfgang Bergmeier United States | 19 | 1.6k 1.0× | 167 0.4× | 328 0.9× | 570 1.7× | 354 1.2× | 23 | 2.2k | ||
| H. Karel Nieuwenhuis Netherlands | 12 | 611 0.4× | 139 0.4× | 181 0.5× | 153 0.5× | 213 0.7× | 14 | 1.2k | ||
| Frauke May Germany | 14 | 588 0.4× | 197 0.5× | 152 0.4× | 179 0.5× | 239 0.8× | 17 | 1.1k | ||
| Valerie Schulte Germany | 19 | 1.7k 1.1× | 154 0.4× | 408 1.1× | 750 2.2× | 326 1.1× | 21 | 2.2k | ||
| M De Mol Belgium | 11 | 747 0.5× | 100 0.3× | 299 0.8× | 132 0.4× | 435 1.4× | 14 | 1.5k | ||
| Nisha Nanda United States | 14 | 444 0.3× | 213 0.6× | 561 1.6× | 164 0.5× | 286 0.9× | 33 | 1.4k |
Countries citing papers authored by Nassia Methia
This map shows the geographic impact of Nassia Methia'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 Nassia Methia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nassia Methia more than expected).
Fields of papers citing papers by Nassia Methia
This network shows the impact of papers produced by Nassia Methia. 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 Nassia Methia. The network helps show where Nassia Methia may publish in the future.
Co-authorship network of co-authors of Nassia Methia
This figure shows the co-authorship network connecting the top 25 collaborators of Nassia Methia. A scholar is included among the top collaborators of Nassia Methia 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 Nassia Methia. Nassia Methia 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.