Vamsi Krishna Ithapu
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Computational Mechanics
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Vikas SinghSterling C. JohnsonLopamudra MukherjeeJames M. RehgJia XuBuye XuAnurag KumarChris Hinrichs
- Topics
- Speech and Audio Processing (19 papers)Music and Audio Processing (12 papers)Statistical Methods and Inference (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageScientific Reports
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Vamsi Krishna Ithapu
33 papers receiving 451 citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 144
- Signal Processing 134
- Artificial Intelligence 114
- Computational Mechanics 60
- Radiology, Nuclear Medicine and Imaging 55
Countries citing papers authored by Vamsi Krishna Ithapu
This map shows the geographic impact of Vamsi Krishna Ithapu'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 Vamsi Krishna Ithapu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vamsi Krishna Ithapu more than expected).
Fields of papers citing papers by Vamsi Krishna Ithapu
This network shows the impact of papers produced by Vamsi Krishna Ithapu. 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 Vamsi Krishna Ithapu. The network helps show where Vamsi Krishna Ithapu may publish in the future.
Co-authorship network of co-authors of Vamsi Krishna Ithapu
This figure shows the co-authorship network connecting the top 25 collaborators of Vamsi Krishna Ithapu. A scholar is included among the top collaborators of Vamsi Krishna Ithapu 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 Vamsi Krishna Ithapu. Vamsi Krishna Ithapu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 34 | |
| 8 | 14 | |
| 9 | 26 | |
| 10 | 8 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, ℓ 2-consistency and Neuroscience Applications. | 7 |
| 15 | 48 | |
| 16 | 6 | |
| 17 | 8 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 3 |
About Vamsi Krishna Ithapu
Vamsi Krishna Ithapu is a scholar working on Signal Processing, Statistics and Probability and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 457 indexed citations. Recurring topics across this work include Speech and Audio Processing (19 papers), Music and Audio Processing (12 papers) and Statistical Methods and Inference (6 papers). The work is most often cited by research in Signal Processing (134 citations), Computational Mathematics (5 citations) and Computer Vision and Pattern Recognition (144 citations). Vamsi Krishna Ithapu has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Vikas Singh, Sterling C. Johnson, Lopamudra Mukherjee, James M. Rehg, Jia Xu, Buye Xu, Anurag Kumar, Chris Hinrichs, Hao Jiang and Ozioma C. Okonkwo. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.
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.