Kalyani Mali
About
In The Last Decade
Kalyani Mali
78 papers receiving 913 citations
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 401
- Artificial Intelligence 391
- Computational Theory and Mathematics 111
- Radiology, Nuclear Medicine and Imaging 104
- Management Science and Operations Research 101
Countries citing papers authored by Kalyani Mali
This map shows the geographic impact of Kalyani Mali'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 Kalyani Mali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kalyani Mali more than expected).
Fields of papers citing papers by Kalyani Mali
This network shows the impact of papers produced by Kalyani Mali. 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 Kalyani Mali. The network helps show where Kalyani Mali may publish in the future.
Co-authorship network of co-authors of Kalyani Mali
This figure shows the co-authorship network connecting the top 25 collaborators of Kalyani Mali. A scholar is included among the top collaborators of Kalyani Mali 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 Kalyani Mali. Kalyani Mali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 18 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 22 | |
| 13 | 25 | |
| 14 | 8 | |
| 15 | 4 | |
| 16 | Superpixel Segmentation with Contour Adherence using Spectral Clustering, Combined with Normalized cuts (N-Cuts) in an Iterative k-Means Clustering Framework (NKSC). | 3 |
| 17 | 63 | |
| 18 | 6 | |
| 19 | Soft Computing on Medical-Data (SCOM) for a Countrywide Medical System Using Data Mining and Cloud Computing Features | 4 |
| 20 | 0 |
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.