G. Bellu

942 total citations
9 papers, 643 citations indexed

About

G. Bellu is a scholar working on Molecular Biology, Control and Systems Engineering and Geometry and Topology. According to data from OpenAlex, G. Bellu has authored 9 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Control and Systems Engineering and 1 paper in Geometry and Topology. Recurrent topics in G. Bellu's work include Advanced Control Systems Optimization (6 papers), Gene Regulatory Network Analysis (5 papers) and Receptor Mechanisms and Signaling (5 papers). G. Bellu is often cited by papers focused on Advanced Control Systems Optimization (6 papers), Gene Regulatory Network Analysis (5 papers) and Receptor Mechanisms and Signaling (5 papers). G. Bellu collaborates with scholars based in Italy. G. Bellu's co-authors include Maria Pia Saccomani, S. Audoly, Leontina D’Angiò, L. D’Angiò and Claudio Cobelli and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Computer Methods and Programs in Biomedicine and Computers in Biology and Medicine.

In The Last Decade

G. Bellu

9 papers receiving 618 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
G. Bellu Italy	7	251	150	76	67	66	9	643
Leontina D’Angiò Italy	4	213 0.8×	129 0.9×	65 0.9×	55 0.8×	48 0.7×	6	528
S. Audoly Italy	9	356 1.4×	246 1.6×	96 1.3×	104 1.6×	80 1.2×	17	939
Jasmin Bachmann Germany	4	467 1.9×	100 0.7×	123 1.6×	75 1.1×	89 1.3×	6	1.0k
L. D’Angiò Italy	7	146 0.6×	120 0.8×	32 0.4×	51 0.8×	32 0.5×	11	418
Neil D. Evans United Kingdom	21	647 2.6×	123 0.8×	130 1.7×	105 1.6×	90 1.4×	97	1.5k
Renu Jain India	13	304 1.2×	17 0.1×	126 1.7×	42 0.6×	103 1.6×	83	943
Pablo S. Rivadeneira Colombia	14	56 0.2×	169 1.1×	34 0.4×	24 0.4×	142 2.2×	61	514
Attila Gábor Germany	14	615 2.5×	75 0.5×	25 0.3×	81 1.2×	38 0.6×	27	930
Johan Karlsson Sweden	16	531 2.1×	58 0.4×	40 0.5×	23 0.3×	42 0.6×	23	1.3k

Countries citing papers authored by G. Bellu

Since Specialization

Citations

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

Fields of papers citing papers by G. Bellu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Bellu

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

All Works

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9 of 9 papers shown

Saccomani, Maria Pia, S. Audoly, G. Bellu, & Leontina D’Angiò. (2010). Examples of testing global identifiability of biological and biomedical models with the DAISY software. Computers in Biology and Medicine. 40(4). 402–407. 37 indexed citations

Saccomani, Maria Pia & G. Bellu. (2008). DAISY: An efficient tool to test global identifiability. Some case studies. 1723–1728. 10 indexed citations

Bellu, G., Maria Pia Saccomani, S. Audoly, & Leontina D’Angiò. (2007). DAISY: A new software tool to test global identifiability of biological and physiological systems. Computer Methods and Programs in Biomedicine. 88(1). 52–61. 316 indexed citations

Saccomani, Maria Pia, S. Audoly, G. Bellu, & L. D’Angiò. (2003). A new differential algebra algorithm to test identifiability of nonlinear systems with given initial conditions. Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228). 3108–3113. 28 indexed citations

Audoly, S., G. Bellu, L. D’Angiò, Maria Pia Saccomani, & Claudio Cobelli. (2001). Global identifiability of nonlinear models of biological systems. IEEE Transactions on Biomedical Engineering. 48(1). 55–65. 230 indexed citations

Saccomani, Maria Pia, S. Audoly, G. Bellu, Leontina D’Angiò, & Claudio Cobelli. (1997). Global Identifiability of Nonlinear Model Parameters. IFAC Proceedings Volumes. 30(11). 233–238. 9 indexed citations

D’Angiò, Leontina, Maria Pia Saccomani, S. Audoly, G. Bellu, & Claudio Cobelli. (1997). A New Algorithm to Test Global Identifiability of Physiological Nonlinear Models. IFAC Proceedings Volumes. 30(2). 259–264. 3 indexed citations

D’Angiò, L., G. Bellu, S. Audoly, Maria Pia Saccomani, & Claudio Cobelli. (1994). Structural Identifiability of Nonlinear Systems: Algorithms Based on Differential Ideals. IFAC Proceedings Volumes. 27(8). 977–982. 7 indexed citations

Audoly, S., et al.. (1991). Procedures to investigate injectivity of polynomial maps and to compute the inverse. Applicable Algebra in Engineering Communication and Computing. 2(2). 91–103. 3 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.

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