Taimoor Javadi
About
In The Last Decade
Taimoor Javadi
26 papers receiving 539 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Taimoor Javadi Iran | 14 | 494 | 106 | 79 | 50 | 49 | 26 | 565 | ||
| Samia Ageeb Akladious Egypt | 14 | 463 0.9× | 45 0.4× | 65 0.8× | 35 0.7× | 64 1.3× | 17 | 548 | ||
| Minggui Gong China | 12 | 360 0.7× | 59 0.6× | 57 0.7× | 49 1.0× | 27 0.6× | 23 | 433 | ||
| Godfrey Elijah Zharare South Africa | 12 | 334 0.7× | 43 0.4× | 62 0.8× | 21 0.4× | 39 0.8× | 49 | 481 | ||
| Néji Tarchoun Tunisia | 11 | 331 0.7× | 66 0.6× | 54 0.7× | 70 1.4× | 43 0.9× | 53 | 412 | ||
| F. R. Cavalcanti Brazil | 12 | 695 1.4× | 47 0.4× | 152 1.9× | 104 2.1× | 24 0.5× | 23 | 783 | ||
| Gökhan Söylemezoğlu Türkiye | 13 | 586 1.2× | 252 2.4× | 80 1.0× | 27 0.5× | 18 0.4× | 54 | 636 | ||
| Sahebali Bolandnazar Iran | 12 | 497 1.0× | 35 0.3× | 73 0.9× | 16 0.3× | 53 1.1× | 36 | 592 | ||
| Bradleigh Hocking Australia | 7 | 738 1.5× | 47 0.4× | 177 2.2× | 21 0.4× | 38 0.8× | 7 | 834 | ||
| G. D’Agostino Italy | 13 | 799 1.6× | 45 0.4× | 102 1.3× | 62 1.2× | 91 1.9× | 22 | 863 | ||
| Terezinha Rangel Câmara Brazil | 14 | 662 1.3× | 90 0.8× | 250 3.2× | 42 0.8× | 56 1.1× | 66 | 755 |
Countries citing papers authored by Taimoor Javadi
This map shows the geographic impact of Taimoor Javadi'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 Taimoor Javadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taimoor Javadi more than expected).
Fields of papers citing papers by Taimoor Javadi
This network shows the impact of papers produced by Taimoor Javadi. 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 Taimoor Javadi. The network helps show where Taimoor Javadi may publish in the future.
Co-authorship network of co-authors of Taimoor Javadi
This figure shows the co-authorship network connecting the top 25 collaborators of Taimoor Javadi. A scholar is included among the top collaborators of Taimoor Javadi 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 Taimoor Javadi. Taimoor Javadi 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.