Francesca Parise

1.2k total citations
43 papers, 690 citations indexed

About

Francesca Parise is a scholar working on Management Science and Operations Research, Statistical and Nonlinear Physics and Economics and Econometrics. According to data from OpenAlex, Francesca Parise has authored 43 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Management Science and Operations Research, 16 papers in Statistical and Nonlinear Physics and 9 papers in Economics and Econometrics. Recurrent topics in Francesca Parise's work include Game Theory and Applications (16 papers), Opinion Dynamics and Social Influence (12 papers) and Economic theories and models (8 papers). Francesca Parise is often cited by papers focused on Game Theory and Applications (16 papers), Opinion Dynamics and Social Influence (12 papers) and Economic theories and models (8 papers). Francesca Parise collaborates with scholars based in United States, Switzerland and Italy. Francesca Parise's co-authors include John Lygeros, Sergio Grammatico, Basilio Gentile, Marcello Colombino, Asuman Ozdaglar, Dario Paccagnan, Maryam Kamgarpour, Jakob Ruess, Maria Elena Valcher and Andreas Milias‐Argeitis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Econometrica and IEEE Transactions on Automatic Control.

In The Last Decade

Francesca Parise

40 papers receiving 675 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesca Parise United States 14 196 195 184 115 110 43 690
Giacomo Como Italy 15 154 0.8× 261 1.3× 82 0.4× 23 0.2× 40 0.4× 91 739
Ashish R. Hota India 11 153 0.8× 36 0.2× 73 0.4× 29 0.3× 53 0.5× 43 439
S. Rasoul Etesami United States 10 88 0.4× 116 0.6× 80 0.4× 12 0.1× 19 0.2× 52 440
Amir Ajorlou Canada 12 56 0.3× 480 2.5× 42 0.2× 13 0.1× 36 0.3× 50 638
Stefano Gualandi Italy 12 121 0.6× 196 1.0× 93 0.5× 54 0.5× 5 0.0× 40 456
Mogens Bladt Denmark 16 29 0.1× 52 0.3× 205 1.1× 70 0.6× 17 0.2× 42 686
Sérgio Adriani David Brazil 16 25 0.1× 32 0.2× 28 0.2× 234 2.0× 41 0.4× 45 603
Simon Fischer Germany 14 65 0.3× 189 1.0× 128 0.7× 58 0.5× 4 0.0× 26 427
Xuehe Wang Singapore 12 55 0.3× 114 0.6× 54 0.3× 12 0.1× 20 0.2× 33 290
A. W. Starr United States 3 26 0.1× 58 0.3× 192 1.0× 193 1.7× 75 0.7× 3 693

Countries citing papers authored by Francesca Parise

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Parise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Parise

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Parise. A scholar is included among the top collaborators of Francesca Parise 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 Francesca Parise. Francesca Parise 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.
Parise, Francesca, et al.. (2023). Estimation of Unknown Payoff Parameters in Large Network Games. 2326–2331. 1 indexed citations
2.
Como, Giacomo, et al.. (2023). Optimal Intervention in Transportation Networks. IEEE Transactions on Automatic Control. 68(12). 7073–7088. 1 indexed citations
3.
Acemoğlu, Daron, Alireza Fallah, Andrea Giometto, et al.. (2023). Optimal adaptive testing for epidemic control: Combining molecular and serology tests. Automatica. 160. 111391–111391. 5 indexed citations
4.
Parise, Francesca & Asuman Ozdaglar. (2023). Graphon Games: A Statistical Framework for Network Games and Interventions. Econometrica. 91(1). 191–225. 17 indexed citations
5.
Parise, Francesca, et al.. (2023). Contagion in graphons. Journal of Economic Theory. 211. 105673–105673. 3 indexed citations
6.
Como, Giacomo, et al.. (2023). Networks and Communication Systems [Technical Activities]. IEEE Control Systems. 43(4). 20–22.
7.
Parise, Francesca, et al.. (2022). Data-Driven Approximations of Chance Constrained Programs in Nonstationary Environments. IEEE Control Systems Letters. 6. 2671–2676. 3 indexed citations
8.
Parise, Francesca & Asuman Ozdaglar. (2021). Analysis and Interventions in Large Network Games. 4(1). 455–486. 20 indexed citations
9.
Parise, Francesca, et al.. (2021). Lockdown interventions in SIR models: Is the reproduction number the right control variable?. 2021 60th IEEE Conference on Decision and Control (CDC). 4254–4259. 7 indexed citations
10.
Parise, Francesca, Basilio Gentile, & John Lygeros. (2019). A Distributed Algorithm For Almost-Nash Equilibria of Average Aggregative Games With Coupling Constraints. IEEE Transactions on Control of Network Systems. 7(2). 770–782. 36 indexed citations
11.
Parise, Francesca & Asuman Ozdaglar. (2019). Graphon Games. 457–458. 19 indexed citations
12.
Paccagnan, Dario, Basilio Gentile, Francesca Parise, Maryam Kamgarpour, & John Lygeros. (2019). Nash and Wardrop Equilibria in Aggregative Games with Coupling Constraints. Repository for Publications and Research Data (ETH Zurich). 71 indexed citations
13.
Parise, Francesca & Asuman Ozdaglar. (2018). Graphon games. arXiv (Cornell University). 2 indexed citations
14.
Paccagnan, Dario, Francesca Parise, & John Lygeros. (2018). On the Efficiency of Nash Equilibria in Aggregative Charging Games. Repository for Publications and Research Data (ETH Zurich). 4 indexed citations
15.
Parise, Francesca, et al.. (2017). Centrality measures for graphons. arXiv (Cornell University). 2 indexed citations
16.
Paccagnan, Dario, Basilio Gentile, Francesca Parise, Maryam Kamgarpour, & John Lygeros. (2016). Distributed computation of generalized Nash equilibria in quadratic aggregative games with affine coupling constraints. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 6123–6128. 72 indexed citations
17.
Parise, Francesca, Maria Elena Valcher, & John Lygeros. (2015). On the use of hyperplane methods to compute the reachable set of controlled stochastic biochemical reaction networks. Padua Research Archive (University of Padova). 94. 1259–1264. 2 indexed citations
18.
Grammatico, Sergio, Francesca Parise, & John Lygeros. (2015). Constrained linear quadratic deterministic mean field control: Decentralized convergence to Nash equilibria in large populations of heterogeneous agents. TU/e Research Portal. 3. 4412–4417. 8 indexed citations
19.
Ruess, Jakob, Francesca Parise, Andreas Milias‐Argeitis, Mustafa Khammash, & John Lygeros. (2015). Iterative experiment design guides the characterization of a light-inducible gene expression circuit. Proceedings of the National Academy of Sciences. 112(26). 8148–8153. 46 indexed citations
20.
Grammatico, Sergio, Francesca Parise, Marcello Colombino, & John Lygeros. (2014). Decentralized Convergence to Nash Equilibria in Constrained Mean Field Control.. arXiv (Cornell University). 11 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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