Na’im Madyun
About
In The Last Decade
Na’im Madyun
20 papers receiving 199 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Na’im Madyun United States | 9 | 161 | 95 | 56 | 30 | 27 | 21 | 236 | ||
| Alison Elliott Australia | 7 | 207 1.3× | 61 0.6× | 39 0.7× | 14 0.5× | 30 1.1× | 34 | 281 | ||
| Markus Broer United States | 5 | 141 0.9× | 40 0.4× | 20 0.4× | 22 0.7× | 17 0.6× | 14 | 225 | ||
| Margaret A. Gallego United States | 9 | 221 1.4× | 49 0.5× | 64 1.1× | 33 1.1× | 25 0.9× | 27 | 278 | ||
| Doris Walker‐Dalhouse United States | 10 | 265 1.6× | 62 0.7× | 86 1.5× | 15 0.5× | 49 1.8× | 26 | 339 | ||
| Launcelot Brown United States | 7 | 147 0.9× | 33 0.3× | 20 0.4× | 43 1.4× | 26 1.0× | 23 | 213 | ||
| John E. Henning United States | 11 | 258 1.6× | 49 0.5× | 66 1.2× | 9 0.3× | 16 0.6× | 35 | 333 | ||
| S Mantovani Italy | 8 | 213 1.3× | 102 1.1× | 32 0.6× | 12 0.4× | 58 2.1× | 24 | 271 | ||
| Paola Pilonieta United States | 9 | 199 1.2× | 36 0.4× | 135 2.4× | 28 0.9× | 33 1.2× | 21 | 284 | ||
| Sylvie Rayna France | 8 | 184 1.1× | 128 1.3× | 38 0.7× | 16 0.5× | 26 1.0× | 38 | 265 | ||
| Sinéad Harmey United Kingdom | 8 | 166 1.0× | 41 0.4× | 76 1.4× | 8 0.3× | 54 2.0× | 23 | 256 |
Countries citing papers authored by Na’im Madyun
This map shows the geographic impact of Na’im Madyun'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 Na’im Madyun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na’im Madyun more than expected).
Fields of papers citing papers by Na’im Madyun
This network shows the impact of papers produced by Na’im Madyun. 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 Na’im Madyun. The network helps show where Na’im Madyun may publish in the future.
Co-authorship network of co-authors of Na’im Madyun
This figure shows the co-authorship network connecting the top 25 collaborators of Na’im Madyun. A scholar is included among the top collaborators of Na’im Madyun 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 Na’im Madyun. Na’im Madyun 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.