Mahima Pushkarna
About
In The Last Decade
Mahima Pushkarna
10 papers receiving 537 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 370
- Safety Research 150
- Computer Vision and Pattern Recognition 106
- Health Informatics 89
- Information Systems 48
Countries citing papers authored by Mahima Pushkarna
This map shows the geographic impact of Mahima Pushkarna'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 Mahima Pushkarna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahima Pushkarna more than expected).
Fields of papers citing papers by Mahima Pushkarna
This network shows the impact of papers produced by Mahima Pushkarna. 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 Mahima Pushkarna. The network helps show where Mahima Pushkarna may publish in the future.
Co-authorship network of co-authors of Mahima Pushkarna
This figure shows the co-authorship network connecting the top 25 collaborators of Mahima Pushkarna. A scholar is included among the top collaborators of Mahima Pushkarna 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 Mahima Pushkarna. Mahima Pushkarna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 13 | |
| 3 | 11 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 95 | |
| 8 | 37 | |
| 9 | 73 | |
| 10 | 5 | |
| 11 | The What-If Tool: Interactive Probing of Machine Learning Models breakdown → | 294 |
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.