Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Interpolation of scattered data: Distance matrices and conditionally positive definite functions
Countries citing papers authored by Charles A. Micchelli
Since
Specialization
Citations
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.
Argyriou, Andreas A., Charles A. Micchelli, Massimiliano Pontil, Lixin Shen, & Yuesheng Xu. (2011). Efficient First Order Methods for Linear Composite Regularizers. Syracuse University Libraries (Syracuse University).5 indexed citations
3.
Argyriou, Andreas A., Charles A. Micchelli, & Massimiliano Pontil. (2010). On Spectral Learning. Journal of Machine Learning Research. 11(31). 935–953.29 indexed citations
4.
Micchelli, Charles A., et al.. (2010). A Family of Penalty Functions for Structured Sparsity. Neural Information Processing Systems. 23. 1612–1623.27 indexed citations
Caponnetto, Andrea, Charles A. Micchelli, Massimiliano Pontil, & Yiming Ying. (2008). Universal Multi-Task Kernels. Journal of Machine Learning Research. 9(52). 1615–1646.78 indexed citations
7.
Argyriou, Andreas A., Massimiliano Pontil, Yiming Ying, & Charles A. Micchelli. (2007). A Spectral Regularization Framework for Multi-Task Structure Learning. UCL Discovery (University College London). 20. 25–32.148 indexed citations
Evgeniou, Theodoros, Charles A. Micchelli, & Massimiliano Pontil. (2005). Learning Multiple Tasks with Kernel Methods. Journal of Machine Learning Research. 6(21). 615–637.515 indexed citations breakdown →
10.
Micchelli, Charles A. & Massimiliano Pontil. (2004). Kernels for Multi--task Learning. UCL Discovery (University College London). 17. 921–928.78 indexed citations
Micchelli, Charles A., Thomas Sauer, & Yuesheng Xu. (2000). Subdivision schemes for iterated function systems. Proceedings of the American Mathematical Society. 129(6). 1861–1872.5 indexed citations
13.
Gasca, M., Charles A. Micchelli, & J.M. Peña. (1994). Banded matrices with banded inverses III: p-slanted matrices. 245–268.3 indexed citations
14.
Mhaskar, H. N. & Charles A. Micchelli. (1993). How to Choose an Activation Function. Neural Information Processing Systems. 6. 319–326.30 indexed citations
Dahmen, Wolfgang & Charles A. Micchelli. (1987). Some remarks on ridge functions. Approximation Theory and Its Applications. 3. 139–143.22 indexed citations
19.
Micchelli, Charles A. & T. J. Rivlin. (1977). 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]. Plenum Press eBooks.1 indexed citations
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.