Charles A. Micchelli
About
In The Last Decade
Charles A. Micchelli
207 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Computational Mechanics 3.7k
- Computer Vision and Pattern Recognition 2.3k
- Artificial Intelligence 1.7k
- Computational Theory and Mathematics 1.7k
- Applied Mathematics 1.6k
Countries citing papers authored by Charles A. Micchelli
This map shows the geographic impact of Charles A. Micchelli'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 Charles A. Micchelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles A. Micchelli more than expected).
Fields of papers citing papers by Charles A. Micchelli
This network shows the impact of papers produced by Charles A. Micchelli. 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 Charles A. Micchelli. The network helps show where Charles A. Micchelli may publish in the future.
Co-authorship network of co-authors of Charles A. Micchelli
This figure shows the co-authorship network connecting the top 25 collaborators of Charles A. Micchelli. A scholar is included among the top collaborators of Charles A. Micchelli 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 Charles A. Micchelli. Charles A. Micchelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Efficient First Order Methods for Linear Composite Regularizers | 5 |
| 3 | A Family of Penalty Functions for Structured Sparsity | 27 |
| 4 | 29 | |
| 5 | 67 | |
| 6 | 78 | |
| 7 | A Spectral Regularization Framework for Multi-Task Structure Learning | 148 |
| 8 | 264 | |
| 9 | Learning Multiple Tasks with Kernel Methods breakdown → | 515 |
| 10 | Kernels for Multi--task Learning | 78 |
| 11 | 13 | |
| 12 | Banded matrices with banded inverses III: p-slanted matrices | 3 |
| 13 | How to Choose an Activation Function | 30 |
| 14 | 9 | |
| 15 | 6 | |
| 16 | 43 | |
| 17 | 13 | |
| 18 | Some remarks on ridge functions | 22 |
| 19 | Optimal estimation in approximation theory : [proceedings of an International Symposium on Optimal Estimation in Approximation Theory held in Freudenstadt, Federal Republic of Germany, September 27-29, 1976] | 1 |
| 20 | 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.