Donatello Materassi

997 total citations
68 papers, 628 citations indexed

About

Donatello Materassi is a scholar working on Control and Systems Engineering, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Donatello Materassi has authored 68 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 19 papers in Artificial Intelligence and 18 papers in Molecular Biology. Recurrent topics in Donatello Materassi's work include Gene Regulatory Network Analysis (16 papers), Control Systems and Identification (12 papers) and Neural Networks and Applications (9 papers). Donatello Materassi is often cited by papers focused on Gene Regulatory Network Analysis (16 papers), Control Systems and Identification (12 papers) and Neural Networks and Applications (9 papers). Donatello Materassi collaborates with scholars based in United States, Italy and Netherlands. Donatello Materassi's co-authors include Murti V. Salapaka, Giacomo Innocenti, L. Giarré, Mardavij Roozbehani, Munther A. Dahleh, Michele Basso, Thomas S. Hays, Robert M. Davison, R. Genesio and Mesrob I. Ohannessian and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Smart Grid.

In The Last Decade

Donatello Materassi

63 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donatello Materassi United States 12 258 174 158 126 103 68 628
Sanya Mitaim United States 11 80 0.3× 117 0.7× 221 1.4× 480 3.8× 165 1.6× 26 792
Rubén J. Sánchez-García United Kingdom 11 88 0.3× 127 0.7× 73 0.5× 213 1.7× 142 1.4× 28 698
Lazaros Moysis Greece 17 117 0.5× 45 0.3× 129 0.8× 444 3.5× 156 1.5× 92 894
Shunsuke Ihara Japan 9 61 0.2× 47 0.3× 140 0.9× 76 0.6× 189 1.8× 26 561
Mladen Kolar United States 13 37 0.1× 128 0.7× 236 1.5× 33 0.3× 31 0.3× 61 542
F.N. Chowdhury United States 15 704 2.7× 23 0.1× 154 1.0× 40 0.3× 72 0.7× 48 882
Александра Тутуева Russia 16 43 0.2× 32 0.2× 132 0.8× 425 3.4× 167 1.6× 51 734
István Dénes Germany 6 46 0.2× 37 0.2× 148 0.9× 63 0.5× 34 0.3× 12 454
Joseph Yves Effa Cameroon 14 26 0.1× 46 0.3× 137 0.9× 210 1.7× 123 1.2× 49 587
Venkat Chandrasekaran United States 11 43 0.2× 41 0.2× 184 1.2× 44 0.3× 52 0.5× 27 589

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-authorship network of co-authors of Donatello Materassi

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

All Works

20 of 20 papers shown
1.
Materassi, Donatello, Sean Warnick, Cristian Rojas, Maarten Schoukens, & Elizabeth J. Cross. (2024). Explaining complex systems: a tutorial on transparency and interpretability in machine learning models (part I). IFAC-PapersOnLine. 58(15). 492–496.
2.
Materassi, Donatello, Sean Warnick, Cristian Rojas, Maarten Schoukens, & Elizabeth J. Cross. (2024). Explaining complex systems: a tutorial on transparency and interpretability in machine learning models (part II). IFAC-PapersOnLine. 58(15). 497–501. 2 indexed citations
3.
Warnick, Sean, et al.. (2024). Explainable AI: motivations and connections with system identification. IFAC-PapersOnLine. 58(15). 502–507.
4.
Materassi, Donatello, et al.. (2023). Interpretation of Explainable AI Methods as Identification of Local Linearized Models. IFAC-PapersOnLine. 56(2). 2383–2388. 1 indexed citations
5.
Materassi, Donatello, et al.. (2021). Sufficient and Necessary Graphical Conditions for MISO Identification in Networks With Observational Data. IEEE Transactions on Automatic Control. 67(11). 5932–5947. 8 indexed citations
6.
Materassi, Donatello, et al.. (2020). A Control Theoretic Look at Granger Causality: Extending Topology Reconstruction to Networks With Direct Feedthroughs. IEEE Transactions on Automatic Control. 66(2). 699–713. 8 indexed citations
7.
Materassi, Donatello, et al.. (2019). An algorithm to learn polytree networks with hidden nodes. Neural Information Processing Systems. 32. 15084–15093. 3 indexed citations
8.
Materassi, Donatello, et al.. (2018). Revisiting Kalman and Aizerman Conjectures via a Graphical Interpretation. IEEE Transactions on Automatic Control. 64(2). 670–682. 7 indexed citations
9.
Materassi, Donatello, et al.. (2018). Identification of Dynamical Strictly Causal Networks. 1. 4739–4744. 4 indexed citations
10.
Talukdar, Saurav, Deepjyoti Deka, Donatello Materassi, & Murti V. Salapaka. (2017). Exact topology reconstruction of radial dynamical systems with applications to distribution system of the power grid. 813–818. 15 indexed citations
11.
Materassi, Donatello, et al.. (2017). Inferring link changes in dynamic networks through power spectral density variations. 1. 220–227. 1 indexed citations
12.
Materassi, Donatello, et al.. (2016). Interrogating Emergent Transport Properties for Molecular Motor Ensembles: A Semi-analytical Approach. PLoS Computational Biology. 12(11). e1005152–e1005152. 6 indexed citations
13.
Materassi, Donatello & Murti V. Salapaka. (2015). Identification of network components in presence of unobserved nodes. 1563–1568. 25 indexed citations
14.
Materassi, Donatello, Saverio Bolognani, Mardavij Roozbehani, & Munther A. Dahleh. (2014). Deferrable loads in energy markets: Optimal consumption policies. 1. 741–746. 2 indexed citations
15.
Materassi, Donatello, et al.. (2013). An exact approach for studying cargo transport by an ensemble of molecular motors. PubMed. 6(1). 14–14. 5 indexed citations
16.
Materassi, Donatello & Murti V. Salapaka. (2012). On the Problem of Reconstructing an Unknown Topology via Locality Properties of the Wiener Filter. IEEE Transactions on Automatic Control. 57(7). 1765–1777. 101 indexed citations
17.
Materassi, Donatello, Mardavij Roozbehani, & Munther A. Dahleh. (2012). Equilibrium price distributions in energy markets with shiftable demand. 3183–3188. 6 indexed citations
18.
Materassi, Donatello, et al.. (2011). Detection of Steps in Single Molecule Data. Cellular and Molecular Bioengineering. 5(1). 14–31. 27 indexed citations
19.
Materassi, Donatello. (2011). Reconstruction of topologies for acyclic networks of dynamical systems. 37–41. 5 indexed citations
20.
Materassi, Donatello, Giacomo Innocenti, & L. Giarré. (2009). Reduced complexity models in the identification of dynamical networks: Links with sparsification problems. Florence Research (University of Florence). 4796–4801. 10 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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