Petros Drineas
About
In The Last Decade
Petros Drineas
114 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Artificial Intelligence 2.4k
- Computational Mechanics 1.8k
- Computer Vision and Pattern Recognition 1.4k
- Computational Theory and Mathematics 962
- Signal Processing 635
Countries citing papers authored by Petros Drineas
This map shows the geographic impact of Petros Drineas'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 Petros Drineas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petros Drineas more than expected).
Fields of papers citing papers by Petros Drineas
This network shows the impact of papers produced by Petros Drineas. 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 Petros Drineas. The network helps show where Petros Drineas may publish in the future.
Co-authorship network of co-authors of Petros Drineas
This figure shows the co-authorship network connecting the top 25 collaborators of Petros Drineas. A scholar is included among the top collaborators of Petros Drineas 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 Petros Drineas. Petros Drineas 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 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 14 | |
| 7 | 3 | |
| 8 | An Iterative, Sketching-based Framework for Ridge Regression | 7 |
| 9 | Randomized Iterative Algorithms for Fisher Discriminant Analysis | 1 |
| 10 | 11 | |
| 11 | Column selection via adaptive sampling | 7 |
| 12 | 31 | |
| 13 | Random Projections for Support Vector Machines | 28 |
| 14 | The Fast Cauchy Transform: with Applications to Basis Construction, Regression, and Subspace Approximation in L1 | 2 |
| 15 | Stochastic Dimensionality Reduction for K-means Clustering | 8 |
| 16 | 7 | |
| 17 | 111 | |
| 18 | Unsupervised Feature Selection for the k-means Clustering Problem | 80 |
| 19 | 158 | |
| 20 | On the Nyström Method for Approximating a Gram Matrix for Improved Kernel-Based Learning breakdown → | 428 |
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.