Therani Madhusudan
About
In The Last Decade
Therani Madhusudan
19 papers receiving 279 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Therani Madhusudan United States | 8 | 160 | 137 | 131 | 54 | 48 | 19 | 306 | ||
| Olivier Corby France | 8 | 136 0.8× | 84 0.6× | 268 2.0× | 19 0.4× | 56 1.2× | 36 | 415 | ||
| Dominique Rieu France | 10 | 104 0.7× | 68 0.5× | 97 0.7× | 32 0.6× | 51 1.1× | 48 | 252 | ||
| J.B.M. Goossenaerts Netherlands | 8 | 64 0.4× | 106 0.8× | 57 0.4× | 34 0.6× | 42 0.9× | 46 | 239 | ||
| Rose Dieng France | 9 | 105 0.7× | 75 0.5× | 191 1.5× | 12 0.2× | 36 0.8× | 23 | 332 | ||
| Tatiana Levashova Russia | 9 | 114 0.7× | 65 0.5× | 160 1.2× | 33 0.6× | 69 1.4× | 75 | 349 | ||
| Karl Kurbel Germany | 10 | 81 0.5× | 81 0.6× | 72 0.5× | 57 1.1× | 40 0.8× | 60 | 278 | ||
| Charles W. Butler United States | 5 | 273 1.7× | 51 0.4× | 95 0.7× | 15 0.3× | 72 1.5× | 17 | 397 | ||
| Peter F Brown United States | 7 | 320 2.0× | 157 1.1× | 169 1.3× | 98 1.8× | 157 3.3× | 7 | 518 | ||
| Kees van Hee Netherlands | 8 | 333 2.1× | 397 2.9× | 135 1.0× | 73 1.4× | 100 2.1× | 24 | 543 | ||
| Jürgen Dorn Austria | 12 | 101 0.6× | 73 0.5× | 123 0.9× | 168 3.1× | 100 2.1× | 47 | 389 |
Countries citing papers authored by Therani Madhusudan
This map shows the geographic impact of Therani Madhusudan'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 Therani Madhusudan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Therani Madhusudan more than expected).
Fields of papers citing papers by Therani Madhusudan
This network shows the impact of papers produced by Therani Madhusudan. 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 Therani Madhusudan. The network helps show where Therani Madhusudan may publish in the future.
Co-authorship network of co-authors of Therani Madhusudan
This figure shows the co-authorship network connecting the top 25 collaborators of Therani Madhusudan. A scholar is included among the top collaborators of Therani Madhusudan 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 Therani Madhusudan. Therani Madhusudan 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.