C. Viganotti

586 total citations
10 papers, 323 citations indexed

About

C. Viganotti is a scholar working on Cellular and Molecular Neuroscience, Mathematical Physics and Applied Mathematics. According to data from OpenAlex, C. Viganotti has authored 10 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 2 papers in Mathematical Physics and 2 papers in Applied Mathematics. Recurrent topics in C. Viganotti's work include Statistical and numerical algorithms (2 papers), Numerical methods in inverse problems (2 papers) and Neuroscience and Neural Engineering (2 papers). C. Viganotti is often cited by papers focused on Statistical and numerical algorithms (2 papers), Numerical methods in inverse problems (2 papers) and Neuroscience and Neural Engineering (2 papers). C. Viganotti collaborates with scholars based in Italy and China. C. Viganotti's co-authors include L. Guerri, B Taccardi, P. Colli-Franzone, Piero Colli Franzone, Stefania Tentoni, Emilio Macchi, S Spaggiari, S Baruffi, Mario Stefanelli and Carlo Berzuini and has published in prestigious journals such as Circulation Research, IEEE Transactions on Biomedical Engineering and Mathematical Biosciences.

In The Last Decade

C. Viganotti

8 papers receiving 311 citations

Peers

C. Viganotti

CCM

RNMI

MP

EEE

BE

P. Colli-Franzone Italy

Yves Coudière France

F. Hanser Austria

Thomas M. Gallie United States

Micol Pennacchio Italy

Marek Rybaczuk Poland

Philip R. Ershler United States

Charulatha Ramanathan United States

Raja N. Ghanem United States

G.E. Mailloux Canada

P. Colli-Franzone Italy

C. Viganotti

178 ×1.3

CCM

69 ×0.9

RNMI

47 ×0.6

MP

47 ×0.6

EEE

38 ×0.9

BE

Citations per year, relative to C. Viganotti C. Viganotti (= 1×) peers P. Colli-Franzone

Countries citing papers authored by C. Viganotti

Since Specialization

Citations

This map shows the geographic impact of C. Viganotti'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 C. Viganotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Viganotti more than expected).

Fields of papers citing papers by C. Viganotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Viganotti. 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 C. Viganotti. The network helps show where C. Viganotti may publish in the future.

Co-authorship network of co-authors of C. Viganotti

This figure shows the co-authorship network connecting the top 25 collaborators of C. Viganotti. A scholar is included among the top collaborators of C. Viganotti 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 C. Viganotti. C. Viganotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Franzone, Piero Colli, B Taccardi, & C. Viganotti. (2015). An Approach to Inverse Calculation of Epicardial Potentials from Body Surface Maps1. Advances in cardiology. 21. 50–54. 12 indexed citations

2.

Taccardi, B, C. Viganotti, Emilio Macchi, & L. De Ambroggi. (2015). Relationships between the Current Field Surrounding an Isolated Dog Heart and the Potential Distribution on the Surface of the Body. Advances in cardiology. 16. 72–76.

3.

Benzi, G., et al.. (1987). Energetic State of Aged Brain during Hypoxia. Gerontology. 33(3-4). 207–212. 3 indexed citations

4.

Colli-Franzone, P., et al.. (1985). A mathematical procedure for solving the inverse potential problem of electrocardiography. analysis of the time-space accuracy from in vitro experimental data. Mathematical Biosciences. 77(1-2). 353–396. 111 indexed citations

5.

Franzone, Piero Colli, L. Guerri, B Taccardi, & C. Viganotti. (1985). Finite element approximation of regularized solutions of the inverse potential problem of electrocardiography and applications to experimental data. CALCOLO. 22(1). 91–186. 79 indexed citations

6.

Colli-Franzone, P., L. Guerri, & C. Viganotti. (1983). Oblique dipole layer potentials applied to electrocardiology. Journal of Mathematical Biology. 17(1). 93–124. 23 indexed citations

7.

Colli-Franzone, P., L. Guerri, C. Viganotti, et al.. (1982). Potential fields generated by oblique dipole layers modeling excitation wavefronts in the anisotropic myocardium. Comparison with potential fields elicited by paced dog hearts in a volume conductor.. Circulation Research. 51(3). 330–346. 69 indexed citations

8.

Franzone, Piero Colli, Mario Stefanelli, & C. Viganotti. (1979). A Distributed Model of Iron Kinetics for Clinical Assessment of Normal-Abnormal Erythropoietic Activity. IEEE Transactions on Biomedical Engineering. BME-26(10). 586–596. 2 indexed citations

9.

Berzuini, Carlo, Piero Colli Franzone, Mario Stefanelli, & C. Viganotti. (1978). Iron kinetics: Modelling and parameter estimation in normal and anemic states. Computers and Biomedical Research. 11(3). 209–227. 24 indexed citations

10.

Franzone, Piero Colli, et al.. (1976). Numerical determination of intestinal membrane diffusion constants by a gradient method. International Journal of Bio-Medical Computing. 7(3). 213–234.

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.

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