SV Madhu
About
In The Last Decade
SV Madhu
62 papers receiving 663 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| SV Madhu India | 13 | 345 | 117 | 96 | 75 | 73 | 73 | 707 | ||
| Khalid S Aljabri Saudi Arabia | 9 | 314 0.9× | 142 1.2× | 97 1.0× | 90 1.2× | 85 1.2× | 43 | 662 | ||
| Zahra Kashi Iran | 18 | 389 1.1× | 104 0.9× | 98 1.0× | 53 0.7× | 157 2.2× | 98 | 957 | ||
| Hengameh Abdi Iran | 16 | 382 1.1× | 110 0.9× | 62 0.6× | 104 1.4× | 57 0.8× | 56 | 621 | ||
| Natalia Colomo Spain | 12 | 225 0.7× | 128 1.1× | 97 1.0× | 129 1.7× | 56 0.8× | 34 | 623 | ||
| Abdul Hamid Zargar India | 16 | 455 1.3× | 114 1.0× | 51 0.5× | 82 1.1× | 128 1.8× | 63 | 905 | ||
| Arti D. Shah United States | 10 | 243 0.7× | 176 1.5× | 82 0.9× | 88 1.2× | 110 1.5× | 17 | 785 | ||
| Maryam Tabesh Australia | 8 | 222 0.6× | 104 0.9× | 213 2.2× | 140 1.9× | 41 0.6× | 20 | 682 | ||
| Jenna Troup Netherlands | 6 | 162 0.5× | 74 0.6× | 138 1.4× | 101 1.3× | 57 0.8× | 8 | 585 | ||
| Beyhan Ömer Türkiye | 16 | 328 1.0× | 206 1.8× | 103 1.1× | 128 1.7× | 102 1.4× | 38 | 1.0k | ||
| Giuseppe Lisco Italy | 18 | 407 1.2× | 102 0.9× | 60 0.6× | 70 0.9× | 91 1.2× | 74 | 1.0k |
Countries citing papers authored by SV Madhu
This map shows the geographic impact of SV Madhu'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 SV Madhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SV Madhu more than expected).
Fields of papers citing papers by SV Madhu
This network shows the impact of papers produced by SV Madhu. 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 SV Madhu. The network helps show where SV Madhu may publish in the future.
Co-authorship network of co-authors of SV Madhu
This figure shows the co-authorship network connecting the top 25 collaborators of SV Madhu. A scholar is included among the top collaborators of SV Madhu 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 SV Madhu. SV Madhu 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.