The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Daniela Calvetti sits on this spectrum.
This scientist: 197 publications — 61st percentile
61% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Daniela Calvetti sits on this spectrum.
This scientist: 39 D-Index — 41st percentile
41% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Daniela Calvetti is affiliated with Case Western Reserve University in the United States. Their research primarily spans the fields of Engineering and Computer Science. More specifically, the subfields of study include Artificial Intelligence, Computational Mechanics, Cognitive Neuroscience, Modeling and Simulation, and Electrical and Electronic Engineering.
The main topics addressed in their work cover a diverse range of areas, notably Sparse and Compressive Sensing Techniques, COVID-19 epidemiological studies, Gaussian Processes and Bayesian Inference, Numerical methods in inverse problems, Electrical and Bioimpedance Tomography, SARS-CoV-2 and COVID-19 Research, and Blind Source Separation Techniques.
Recent publications by Daniela Calvetti include:
Frequent co-authors in Daniela Calvetti's work are Erkki Somersalo, Monica Pragliola, Alexander Hoover, Johnie Rose, and Alberto Bocchinfuso.
Common publication venues for their work include arXiv (Cornell University), Inverse Problems, SSRN Electronic Journal, SIAM Journal on Scientific Computing, and Brain Topography.
Daniela Calvetti has also contributed to academic literature through book publications. They have authored two books published by the Society for Industrial and Applied Mathematics: "Mathematics of Data Science: A Computational Approach to Clustering and Classification" (2020) and "The Less Is More Linear Algebra of Vector Spaces and Matrices" (2022). Additionally, they authored "Bayesian Scientific Computing" (2023), published by Springer Nature.
D. Calvetti;S. Morigi;L. Reichel;F. Sgallari
D. Calvetti;L. Reichel;D. C. Sorensen
D. Calvetti;L. Reichel
J. Baglama;D. Calvetti;G. H. Golub;L. Reichel
Daniela Calvetti;Erkki Somersalo
Daniela Calvetti;Lothar Reichel
D. Calvetti;G. H. Golub;W. B. Gragg;L. Reichel
D. Calvetti;G. H. Golub;L. Reichel
Daniela Calvetti;Erkki Somersalo
D. Calvetti;E. Somersalo
Daniela Calvetti;Bryan Lewis;Lothar Reichel
Charulatha Ramanathan;Ping Jia;Raja Ghanem;Daniela Calvetti
A. Nair;D. Calvetti;D.G. Vince
D. Calvetti;B. Lewis;L. Reichel
D. Calvetti;B. Lewis;L. Reichel
J. Baglama;D. Calvetti;L. Reichel
J. Baglama;D. Calvetti;L. Reichel
Daniela Calvetti;Lothar Reichel;A. Shuibi
J. Baglama;D. Calvetti;L. Reichel
Daniela Calvetti;Per Christian Hansen;Lothar Reichel
Daniela Calvetti;Erkki Somersalo
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