Poorvi L. Vora
About
In The Last Decade
Poorvi L. Vora
27 papers receiving 296 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 157
- Computer Vision and Pattern Recognition 154
- Atomic and Molecular Physics, and Optics 119
- Sociology and Political Science 55
- Information Systems 43
Countries citing papers authored by Poorvi L. Vora
This map shows the geographic impact of Poorvi L. Vora'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 Poorvi L. Vora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Poorvi L. Vora more than expected).
Fields of papers citing papers by Poorvi L. Vora
This network shows the impact of papers produced by Poorvi L. Vora. 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 Poorvi L. Vora. The network helps show where Poorvi L. Vora may publish in the future.
Co-authorship network of co-authors of Poorvi L. Vora
This figure shows the co-authorship network connecting the top 25 collaborators of Poorvi L. Vora. A scholar is included among the top collaborators of Poorvi L. Vora 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 Poorvi L. Vora. Poorvi L. Vora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Minerva– An Efficient {Risk-Limiting} Ballot Polling Audit | 1 |
| 3 | 2 | |
| 4 | Scantegrity Responds to Rice Study on Usability of the Scantegrity II Voting System | 0 |
| 5 | 3 | |
| 6 | Performance requirements for end-to-end verifiable elections | 8 |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 109 | |
| 12 | 3 | |
| 13 | 17 | |
| 14 | 14 | |
| 15 | 6 | |
| 16 | Image Capture: Modelling and Calibration of Sensor Responses and their Synthesis from Multispectral Images | 2 |
| 17 | 2 | |
| 18 | 90 | |
| 19 | 13 | |
| 20 | 1 |
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.