Niketan Pansare
About
In The Last Decade
Niketan Pansare
6 papers receiving 347 citations
Peers
Comparison fields: 5 of 30
- Computer Networks and Communications 239
- Artificial Intelligence 164
- Signal Processing 137
- Information Systems 126
- Computer Vision and Pattern Recognition 77
Countries citing papers authored by Niketan Pansare
This map shows the geographic impact of Niketan Pansare'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 Niketan Pansare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niketan Pansare more than expected).
Fields of papers citing papers by Niketan Pansare
This network shows the impact of papers produced by Niketan Pansare. 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 Niketan Pansare. The network helps show where Niketan Pansare may publish in the future.
Co-authorship network of co-authors of Niketan Pansare
This figure shows the co-authorship network connecting the top 25 collaborators of Niketan Pansare. A scholar is included among the top collaborators of Niketan Pansare 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 Niketan Pansare. Niketan Pansare is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 39 | |
| 3 | 115 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 130 | |
| 7 | 69 |
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.