Shahab Torkian
About
In The Last Decade
Shahab Torkian
18 papers receiving 483 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Shahab Torkian Iran | 11 | 405 | 365 | 129 | 71 | 51 | 19 | 489 | ||
| D. P. Sherstyuk Russia | 10 | 401 1.0× | 316 0.9× | 183 1.4× | 95 1.3× | 42 0.8× | 25 | 554 | ||
| Ze Li China | 13 | 191 0.5× | 218 0.6× | 103 0.8× | 45 0.6× | 99 1.9× | 30 | 382 | ||
| Yuqiang Dai China | 12 | 274 0.7× | 189 0.5× | 115 0.9× | 39 0.5× | 49 1.0× | 28 | 383 | ||
| Murli Kumar Manglam India | 15 | 570 1.4× | 476 1.3× | 146 1.1× | 68 1.0× | 39 0.8× | 36 | 614 | ||
| Fan‐Yong Ran Japan | 14 | 399 1.0× | 197 0.5× | 281 2.2× | 43 0.6× | 32 0.6× | 25 | 549 | ||
| Lagen Kumar Pradhan India | 16 | 581 1.4× | 531 1.5× | 175 1.4× | 48 0.7× | 59 1.2× | 41 | 646 | ||
| Hossein Nikmanesh Iran | 14 | 747 1.8× | 745 2.0× | 169 1.3× | 128 1.8× | 45 0.9× | 26 | 896 | ||
| Cheng-Hsiung Peng Taiwan | 8 | 326 0.8× | 283 0.8× | 118 0.9× | 47 0.7× | 34 0.7× | 15 | 429 | ||
| Khadija El Maalam Morocco | 11 | 373 0.9× | 303 0.8× | 144 1.1× | 107 1.5× | 36 0.7× | 31 | 517 | ||
| H. Khanduri India | 13 | 412 1.0× | 294 0.8× | 146 1.1× | 75 1.1× | 100 2.0× | 25 | 573 |
Countries citing papers authored by Shahab Torkian
This map shows the geographic impact of Shahab Torkian'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 Shahab Torkian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shahab Torkian more than expected).
Fields of papers citing papers by Shahab Torkian
This network shows the impact of papers produced by Shahab Torkian. 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 Shahab Torkian. The network helps show where Shahab Torkian may publish in the future.
Co-authorship network of co-authors of Shahab Torkian
This figure shows the co-authorship network connecting the top 25 collaborators of Shahab Torkian. A scholar is included among the top collaborators of Shahab Torkian 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 Shahab Torkian. Shahab Torkian 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.