Peva Blanchard
About
In The Last Decade
Peva Blanchard
5 papers receiving 575 citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 547
- Computer Networks and Communications 117
- Information Systems 85
- Electrical and Electronic Engineering 48
- Computer Vision and Pattern Recognition 32
Countries citing papers authored by Peva Blanchard
This map shows the geographic impact of Peva Blanchard'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 Peva Blanchard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peva Blanchard more than expected).
Fields of papers citing papers by Peva Blanchard
This network shows the impact of papers produced by Peva Blanchard. 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 Peva Blanchard. The network helps show where Peva Blanchard may publish in the future.
Co-authorship network of co-authors of Peva Blanchard
This figure shows the co-authorship network connecting the top 25 collaborators of Peva Blanchard. A scholar is included among the top collaborators of Peva Blanchard 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 Peva Blanchard. Peva Blanchard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Machine learning with adversaries: byzantine tolerant gradient descent breakdown → | 582 |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 5 |
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.