Vivek Miglani
About
In The Last Decade
Vivek Miglani
4 papers receiving 81 citations
Peers
Comparison fields: 5 of 32
- Pulmonary and Respiratory Medicine 61
- Signal Processing 34
- Computer Vision and Pattern Recognition 12
- Issues, ethics and legal aspects 9
- Artificial Intelligence 9
Countries citing papers authored by Vivek Miglani
This map shows the geographic impact of Vivek Miglani'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 Vivek Miglani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek Miglani more than expected).
Fields of papers citing papers by Vivek Miglani
This network shows the impact of papers produced by Vivek Miglani. 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 Vivek Miglani. The network helps show where Vivek Miglani may publish in the future.
Co-authorship network of co-authors of Vivek Miglani
This figure shows the co-authorship network connecting the top 25 collaborators of Vivek Miglani. A scholar is included among the top collaborators of Vivek Miglani 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 Vivek Miglani. Vivek Miglani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | Mind the Pad -- CNNs Can Develop Blind Spots | 4 |
| 3 | 71 | |
| 4 | 3 |
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.