Vipin Venugopal
About
In The Last Decade
Vipin Venugopal
6 papers receiving 274 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Oncology 184
- Artificial Intelligence 159
- Epidemiology 80
- Computer Vision and Pattern Recognition 42
- Radiology, Nuclear Medicine and Imaging 38
Countries citing papers authored by Vipin Venugopal
This map shows the geographic impact of Vipin Venugopal'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 Vipin Venugopal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vipin Venugopal more than expected).
Fields of papers citing papers by Vipin Venugopal
This network shows the impact of papers produced by Vipin Venugopal. 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 Vipin Venugopal. The network helps show where Vipin Venugopal may publish in the future.
Co-authorship network of co-authors of Vipin Venugopal
This figure shows the co-authorship network connecting the top 25 collaborators of Vipin Venugopal. A scholar is included among the top collaborators of Vipin Venugopal 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 Vipin Venugopal. Vipin Venugopal 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 | 4 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 65 | |
| 6 | 30 | |
| 7 | 33 | |
| 8 | Hybrid convolutional neural networks with SVM classifier for classification of skin cancer breakdown → | 149 |
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.