Venu Akuthota
About
In The Last Decade
Venu Akuthota
47 papers receiving 1.6k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Venu Akuthota United States | 18 | 787 | 692 | 673 | 437 | 343 | 52 | 1.8k | ||
| Phillip S. Sizer United States | 27 | 852 1.1× | 865 1.3× | 439 0.7× | 494 1.1× | 282 0.8× | 114 | 2.1k | ||
| Gerold Ebenbichler Austria | 25 | 926 1.2× | 689 1.0× | 525 0.8× | 322 0.7× | 531 1.5× | 78 | 2.4k | ||
| Won‐gyu Yoo South Korea | 20 | 773 1.0× | 582 0.8× | 494 0.7× | 180 0.4× | 379 1.1× | 222 | 1.7k | ||
| G. Rankin United Kingdom | 8 | 681 0.9× | 425 0.6× | 380 0.6× | 261 0.6× | 216 0.6× | 10 | 1.5k | ||
| Jae‐Seop Oh South Korea | 19 | 754 1.0× | 674 1.0× | 712 1.1× | 160 0.4× | 429 1.3× | 147 | 1.7k | ||
| Heon‐Seock Cynn South Korea | 26 | 842 1.1× | 922 1.3× | 733 1.1× | 233 0.5× | 617 1.8× | 134 | 2.0k | ||
| Yavuz Yakut Türkiye | 22 | 703 0.9× | 697 1.0× | 306 0.5× | 393 0.9× | 255 0.7× | 129 | 1.9k | ||
| Jean‐Michel Brismée United States | 30 | 999 1.3× | 1.0k 1.5× | 510 0.8× | 508 1.2× | 403 1.2× | 167 | 2.8k | ||
| Chung‐Hwi Yi South Korea | 29 | 842 1.1× | 751 1.1× | 617 0.9× | 239 0.5× | 503 1.5× | 192 | 2.2k | ||
| Patricia Geise Provance United States | 5 | 486 0.6× | 702 1.0× | 391 0.6× | 224 0.5× | 470 1.4× | 5 | 1.6k |
Countries citing papers authored by Venu Akuthota
This map shows the geographic impact of Venu Akuthota'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 Venu Akuthota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Venu Akuthota more than expected).
Fields of papers citing papers by Venu Akuthota
This network shows the impact of papers produced by Venu Akuthota. 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 Venu Akuthota. The network helps show where Venu Akuthota may publish in the future.
Co-authorship network of co-authors of Venu Akuthota
This figure shows the co-authorship network connecting the top 25 collaborators of Venu Akuthota. A scholar is included among the top collaborators of Venu Akuthota 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 Venu Akuthota. Venu Akuthota 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.