Deeksha Salaria
About
In The Last Decade
Deeksha Salaria
19 papers receiving 430 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Deeksha Salaria India | 12 | 144 | 124 | 123 | 115 | 98 | 22 | 441 | ||
| Sefren Geiner Tumilaar Indonesia | 9 | 110 0.8× | 100 0.8× | 137 1.1× | 105 0.9× | 86 0.9× | 17 | 476 | ||
| Nurdjannah Jane Niode Indonesia | 10 | 86 0.6× | 83 0.7× | 110 0.9× | 112 1.0× | 64 0.7× | 41 | 477 | ||
| Shahenur Alam Sakib Bangladesh | 12 | 140 1.0× | 191 1.5× | 130 1.1× | 179 1.6× | 140 1.4× | 17 | 665 | ||
| Khayrya A. Youssif Egypt | 14 | 85 0.6× | 111 0.9× | 62 0.5× | 115 1.0× | 69 0.7× | 23 | 567 | ||
| Asmaa I. Owis Egypt | 11 | 68 0.5× | 101 0.8× | 70 0.6× | 131 1.1× | 73 0.7× | 27 | 379 | ||
| Akinwunmi Oluwaseun Adeoye Nigeria | 9 | 83 0.6× | 118 1.0× | 77 0.6× | 118 1.0× | 69 0.7× | 34 | 394 | ||
| Leila Hambaba Algeria | 11 | 138 1.0× | 185 1.5× | 64 0.5× | 97 0.8× | 48 0.5× | 33 | 428 | ||
| Danielle Twilley South Africa | 11 | 74 0.5× | 130 1.0× | 53 0.4× | 116 1.0× | 66 0.7× | 29 | 438 | ||
| Mansi Sharma India | 12 | 72 0.5× | 192 1.5× | 94 0.8× | 147 1.3× | 55 0.6× | 28 | 487 | ||
| Nur Kusaira Khairul Ikram Malaysia | 14 | 90 0.6× | 186 1.5× | 71 0.6× | 313 2.7× | 99 1.0× | 36 | 703 |
Countries citing papers authored by Deeksha Salaria
This map shows the geographic impact of Deeksha Salaria'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 Deeksha Salaria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deeksha Salaria more than expected).
Fields of papers citing papers by Deeksha Salaria
This network shows the impact of papers produced by Deeksha Salaria. 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 Deeksha Salaria. The network helps show where Deeksha Salaria may publish in the future.
Co-authorship network of co-authors of Deeksha Salaria
This figure shows the co-authorship network connecting the top 25 collaborators of Deeksha Salaria. A scholar is included among the top collaborators of Deeksha Salaria 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 Deeksha Salaria. Deeksha Salaria 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.