Pratibha Kujur
About
In The Last Decade
Pratibha Kujur
3 papers receiving 8 citations
Peers
Comparison fields: 5 of 11
- Cognitive Neuroscience 5
- Social Psychology 3
- Computer Vision and Pattern Recognition 2
- Endocrinology 2
- Immunology 2
Countries citing papers authored by Pratibha Kujur
This map shows the geographic impact of Pratibha Kujur'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 Pratibha Kujur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pratibha Kujur more than expected).
Fields of papers citing papers by Pratibha Kujur
This network shows the impact of papers produced by Pratibha Kujur. 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 Pratibha Kujur. The network helps show where Pratibha Kujur may publish in the future.
Co-authorship network of co-authors of Pratibha Kujur
This figure shows the co-authorship network connecting the top 25 collaborators of Pratibha Kujur. A scholar is included among the top collaborators of Pratibha Kujur 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 Pratibha Kujur. Pratibha Kujur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | Social Interaction in Fish: A Brief Review | 2 |
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.