Udaya Tupakula
About
In The Last Decade
Udaya Tupakula
85 papers receiving 1.7k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Udaya Tupakula Australia | 19 | 1.6k | 1.0k | 766 | 453 | 148 | 89 | 1.9k | ||
| Ameer Al-Nemrat United Kingdom | 9 | 1.1k 0.7× | 941 0.9× | 683 0.9× | 245 0.5× | 70 0.5× | 24 | 1.4k | ||
| Aikaterini Mitrokotsa Sweden | 15 | 1.0k 0.7× | 573 0.5× | 399 0.5× | 407 0.9× | 181 1.2× | 61 | 1.3k | ||
| Carol Fung United States | 22 | 1.2k 0.8× | 656 0.6× | 369 0.5× | 424 0.9× | 143 1.0× | 109 | 1.6k | ||
| Monowar Bhuyan Sweden | 17 | 1.8k 1.1× | 1.4k 1.4× | 869 1.1× | 311 0.7× | 76 0.5× | 58 | 2.0k | ||
| Kun Sun United States | 28 | 1.4k 0.9× | 950 0.9× | 908 1.2× | 914 2.0× | 224 1.5× | 135 | 2.3k | ||
| Dongho Won South Korea | 24 | 1.5k 0.9× | 651 0.6× | 410 0.5× | 1.3k 2.8× | 156 1.1× | 178 | 1.9k | ||
| Kangbin Yim South Korea | 18 | 818 0.5× | 365 0.3× | 720 0.9× | 533 1.2× | 205 1.4× | 111 | 1.3k | ||
| Arunan Sivanathan Australia | 10 | 946 0.6× | 709 0.7× | 482 0.6× | 194 0.4× | 150 1.0× | 17 | 1.1k | ||
| Aurélien Francillon France | 21 | 637 0.4× | 1.1k 1.0× | 1.2k 1.6× | 584 1.3× | 225 1.5× | 55 | 1.8k | ||
| Hamed Okhravi United States | 19 | 733 0.5× | 820 0.8× | 736 1.0× | 348 0.8× | 144 1.0× | 53 | 1.3k |
Countries citing papers authored by Udaya Tupakula
This map shows the geographic impact of Udaya Tupakula'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 Udaya Tupakula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Udaya Tupakula more than expected).
Fields of papers citing papers by Udaya Tupakula
This network shows the impact of papers produced by Udaya Tupakula. 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 Udaya Tupakula. The network helps show where Udaya Tupakula may publish in the future.
Co-authorship network of co-authors of Udaya Tupakula
This figure shows the co-authorship network connecting the top 25 collaborators of Udaya Tupakula. A scholar is included among the top collaborators of Udaya Tupakula 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 Udaya Tupakula. Udaya Tupakula 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.