Peyman Akbari
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In The Last Decade
Peyman Akbari
57 papers receiving 1.3k citations
Author Peers
Peers are selected by citation overlap in the author's most active subfields. citations · hero ref
| Author | Last Decade | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|
| Peyman Akbari | 377 | 343 | 254 | 184 | 168 | 64 | 1.3k | |
| Liuhong Shen | 349 0.9× | 415 1.2× | 133 0.5× | 135 0.7× | 135 0.8× | 101 | 1.4k | |
| S. Sankari | 247 0.7× | 312 0.9× | 97 0.4× | 152 0.8× | 87 0.5× | 84 | 1.4k | |
| Shumin Yu | 285 0.8× | 428 1.2× | 91 0.4× | 152 0.8× | 93 0.6× | 82 | 1.2k | |
| Wenju Zhang | 391 1.0× | 755 2.2× | 288 1.1× | 140 0.8× | 221 1.3× | 97 | 1.8k | |
| Wanglong Zheng | 471 1.2× | 365 1.1× | 301 1.2× | 120 0.7× | 121 0.7× | 76 | 1.4k | |
| Qianqian Xu | 318 0.8× | 304 0.9× | 515 2.0× | 99 0.5× | 81 0.5× | 85 | 1.2k | |
| Yanni Feng | 277 0.7× | 634 1.8× | 115 0.5× | 118 0.6× | 127 0.8× | 63 | 1.5k | |
| Krzysztof Kozłowski | 310 0.8× | 292 0.9× | 497 2.0× | 211 1.1× | 108 0.6× | 83 | 1.3k | |
| Nesrein M. Hashem | 454 1.2× | 188 0.5× | 626 2.5× | 164 0.9× | 144 0.9× | 86 | 1.7k | |
| Gina Cecilia Pistol | 664 1.8× | 437 1.3× | 230 0.9× | 199 1.1× | 227 1.4× | 62 | 1.5k |
Countries citing papers authored by Peyman Akbari
This map shows the geographic impact of Peyman Akbari'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 Peyman Akbari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peyman Akbari more than expected).
Fields of papers citing papers by Peyman Akbari
This network shows the impact of papers produced by Peyman Akbari. 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 Peyman Akbari. The network helps show where Peyman Akbari may publish in the future.
Co-authorship network of co-authors of Peyman Akbari
This figure shows the co-authorship network connecting the top 25 collaborators of Peyman Akbari. A scholar is included among the top collaborators of Peyman Akbari 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 Peyman Akbari. Peyman Akbari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
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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.