Donatello Materassi

1.0k citations
70 papers · 638 · h-index 12

Impact in

Papers in

Donatello Materassi

64 papers receiving 622 citations

Peers

Donatello Materassi
Comparison fields: 5 of 64
  • Control and Systems Engineering 258
  • Statistical and Nonlinear Physics 133
  • Biophysics 29
  • Artificial Intelligence 159
  • Computer Networks and Communications 106
Replace F.N. Chowdhury with:
F.N. Chowdhury United States
Shunsuke Ihara Japan
Daniele Grattarola Italy
Venkat Chandrasekaran United States
L.K. Saul United States
Andreas Loukas Netherlands
Gavin Taylor United States
Ching-Tai Lin United States
Mladen Kolar United States
Donatello Materassi relative to F.N. Chowdhury United States F.N. Chowdhury's profile →
Citations per field
00.5×3.3×
F.N. Chowdhury · 1×
Citations per year

Countries citing papers authored by Donatello Materassi

Since Specialization
Citations

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

Fields of papers citing papers by Donatello Materassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Donatello Materassi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Donatello Materassi Line = papers co-authored together Donatello Materassi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010111
2 2012101
3 201127
4 201327
5 201525
6 201218
7 200916
8 201715
9 201113
10 200812
11 201412
12 201712
13 201911
14 201111
15 200911
16 201810
17 200910
18 201310
19 20098
20 20208

About Donatello Materassi

Donatello Materassi is a scholar working on Control and Systems Engineering, Artificial Intelligence, Molecular Biology, Statistical and Nonlinear Physics and Electrical and Electronic Engineering, having authored 70 papers that have together received 638 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (16 papers), Control Systems and Identification (12 papers), Neural Networks and Applications (9 papers), Stability and Control of Uncertain Systems (8 papers), Complex Systems and Time Series Analysis (8 papers), Chaos control and synchronization (7 papers), Bayesian Modeling and Causal Inference (7 papers) and Smart Grid Energy Management (6 papers). The work is most often cited by research in Control and Systems Engineering (258 citations), Statistical and Nonlinear Physics (133 citations), Biophysics (29 citations), Artificial Intelligence (159 citations) and Computer Networks and Communications (106 citations). Donatello Materassi has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Murti V. Salapaka, Giacomo Innocenti, L. Giarré, Michele Basso, Mardavij Roozbehani, Munther A. Dahleh, Thomas S. Hays, Robert M. Davison, Mesrob I. Ohannessian and R. Genesio. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Smart Grid, Cellular and Molecular Bioengineering, Review of Scientific Instruments and Physica A Statistical Mechanics and its Applications.

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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