Suvd Nadmid
About
In The Last Decade
Suvd Nadmid
16 papers receiving 518 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Suvd Nadmid Germany | 12 | 368 | 324 | 190 | 117 | 49 | 16 | 523 | ||
| Doug R. Braun United States | 14 | 403 1.1× | 345 1.1× | 240 1.3× | 108 0.9× | 26 0.5× | 27 | 603 | ||
| Agnes Mühlenweg Germany | 10 | 391 1.1× | 400 1.2× | 103 0.5× | 143 1.2× | 39 0.8× | 13 | 579 | ||
| Sangkeun Son South Korea | 13 | 278 0.8× | 236 0.7× | 119 0.6× | 79 0.7× | 54 1.1× | 32 | 486 | ||
| Navid Adnani United States | 7 | 319 0.9× | 271 0.8× | 162 0.9× | 51 0.4× | 31 0.6× | 13 | 470 | ||
| Shangwen Luo China | 10 | 299 0.8× | 312 1.0× | 122 0.6× | 94 0.8× | 25 0.5× | 25 | 458 | ||
| Annabel C. Murphy United Kingdom | 13 | 305 0.8× | 275 0.8× | 120 0.6× | 156 1.3× | 71 1.4× | 20 | 475 | ||
| Ryan A. McClure United States | 10 | 367 1.0× | 397 1.2× | 94 0.5× | 88 0.8× | 34 0.7× | 16 | 543 | ||
| Shanren Li China | 14 | 262 0.7× | 215 0.7× | 96 0.5× | 105 0.9× | 34 0.7× | 19 | 387 | ||
| Alexander Pesic Germany | 12 | 234 0.6× | 281 0.9× | 62 0.3× | 118 1.0× | 71 1.4× | 12 | 462 | ||
| Satoshi Miyanaga Japan | 13 | 312 0.8× | 237 0.7× | 191 1.0× | 152 1.3× | 62 1.3× | 20 | 519 |
Countries citing papers authored by Suvd Nadmid
This map shows the geographic impact of Suvd Nadmid'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 Suvd Nadmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suvd Nadmid more than expected).
Fields of papers citing papers by Suvd Nadmid
This network shows the impact of papers produced by Suvd Nadmid. 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 Suvd Nadmid. The network helps show where Suvd Nadmid may publish in the future.
Co-authorship network of co-authors of Suvd Nadmid
This figure shows the co-authorship network connecting the top 25 collaborators of Suvd Nadmid. A scholar is included among the top collaborators of Suvd Nadmid 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 Suvd Nadmid. Suvd Nadmid 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.