Christos Boutsidis
About
In The Last Decade
Christos Boutsidis
28 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Artificial Intelligence 714
- Computer Vision and Pattern Recognition 535
- Computational Mechanics 491
- Molecular Biology 317
- Computational Theory and Mathematics 255
Countries citing papers authored by Christos Boutsidis
This map shows the geographic impact of Christos Boutsidis'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 Christos Boutsidis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christos Boutsidis more than expected).
Fields of papers citing papers by Christos Boutsidis
This network shows the impact of papers produced by Christos Boutsidis. 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 Christos Boutsidis. The network helps show where Christos Boutsidis may publish in the future.
Co-authorship network of co-authors of Christos Boutsidis
This figure shows the co-authorship network connecting the top 25 collaborators of Christos Boutsidis. A scholar is included among the top collaborators of Christos Boutsidis 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 Christos Boutsidis. Christos Boutsidis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | Optimal Sparse Linear Encoders and Sparse PCA | 4 |
| 3 | 35 | |
| 4 | 18 | |
| 5 | 9 | |
| 6 | 27 | |
| 7 | 26 | |
| 8 | 22 | |
| 9 | Approximate Spectral Clustering via Randomized Sketching | 10 |
| 10 | 3 | |
| 11 | Random Projections for Support Vector Machines | 28 |
| 12 | Stochastic Dimensionality Reduction for K-means Clustering | 8 |
| 13 | Sparse Features for PCA-Like Linear Regression | 5 |
| 14 | 30 | |
| 15 | 193 | |
| 16 | 111 | |
| 17 | Unsupervised Feature Selection for the k-means Clustering Problem | 80 |
| 18 | 158 | |
| 19 | 35 | |
| 20 | SVD based initialization: A head start for nonnegative matrix factorization breakdown → | 451 |
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.