Marco Molinaro

860 total citations
33 papers, 234 citations indexed

About

Marco Molinaro is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Marco Molinaro has authored 33 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Theory and Mathematics, 13 papers in Computer Networks and Communications and 12 papers in Artificial Intelligence. Recurrent topics in Marco Molinaro's work include Complexity and Algorithms in Graphs (13 papers), Optimization and Search Problems (10 papers) and Advanced Optimization Algorithms Research (6 papers). Marco Molinaro is often cited by papers focused on Complexity and Algorithms in Graphs (13 papers), Optimization and Search Problems (10 papers) and Advanced Optimization Algorithms Research (6 papers). Marco Molinaro collaborates with scholars based in United States, Brazil and Italy. Marco Molinaro's co-authors include Santanu S. Dey, Alberto Del Pia, R. Ravi, Eduardo Sany Laber, Anupam Gupta, Qianyi Wang, Natashia Boland, Ferdinando Cicalese, Gérard Cornuéjols and Thomas Kalinowski and has published in prestigious journals such as Mathematical Programming, SIAM Journal on Optimization and Theoretical Computer Science.

In The Last Decade

Marco Molinaro

30 papers receiving 219 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Molinaro United States 10 96 74 57 43 43 33 234
Volker Kaibel Germany 12 58 0.6× 203 2.7× 35 0.6× 56 1.3× 82 1.9× 37 360
Daniel E. Steffy United States 8 113 1.2× 183 2.5× 56 1.0× 77 1.8× 66 1.5× 16 388
István Maros United Kingdom 10 45 0.5× 157 2.1× 55 1.0× 167 3.9× 34 0.8× 25 347
Giacomo Zambelli Italy 10 50 0.5× 232 3.1× 33 0.6× 68 1.6× 67 1.6× 24 410
Stefano Smriglio Italy 11 188 2.0× 117 1.6× 27 0.5× 38 0.9× 60 1.4× 23 438
Djamila Sam-Haroud Switzerland 11 231 2.4× 113 1.5× 103 1.8× 54 1.3× 8 0.2× 29 361
Doron Chen Israel 9 47 0.5× 71 1.0× 19 0.3× 35 0.8× 28 0.7× 20 238
Leonidas Pitsoulis Greece 10 71 0.7× 62 0.8× 100 1.8× 17 0.4× 30 0.7× 30 326
Pham Dinh Tao France 5 34 0.4× 97 1.3× 69 1.2× 119 2.8× 21 0.5× 6 312
Nathan W. Brixius United States 5 89 0.9× 72 1.0× 41 0.7× 54 1.3× 16 0.4× 6 261

Countries citing papers authored by Marco Molinaro

Since Specialization
Citations

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

Fields of papers citing papers by Marco Molinaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Molinaro

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Molinaro. A scholar is included among the top collaborators of Marco Molinaro 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 Marco Molinaro. Marco Molinaro 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.
Souza, Victor L. F., Ferdinando Cicalese, Eduardo Sany Laber, & Marco Molinaro. (2025). Decision trees with short explainable rules. Theoretical Computer Science. 1047. 115344–115344. 1 indexed citations
2.
Basu, Amitabh, et al.. (2024). Information complexity of mixed-integer convex optimization. Mathematical Programming. 210(1-2). 3–45.
3.
Dey, Santanu S., et al.. (2023). A theoretical and computational analysis of full strong-branching. Mathematical Programming. 205(1-2). 303–336. 6 indexed citations
4.
Dey, Santanu S., et al.. (2022). Solving sparse principal component analysis with global support. Mathematical Programming. 199(1-2). 421–459. 2 indexed citations
5.
Molinaro, Marco. (2022). Strong Convexity of Feasible Sets in Off-line and Online Optimization. Mathematics of Operations Research. 48(2). 865–884. 2 indexed citations
6.
Dey, Santanu S., et al.. (2020). Branch-and-Bound Solves Random Binary Packing IPs in Polytime. arXiv (Cornell University). 1 indexed citations
7.
Molinaro, Marco. (2019). Stochastic ep load balancing and moment problems via the L-function method. arXiv (Cornell University). 343–354. 1 indexed citations
8.
Gupta, Anupam, Ruta Mehta, & Marco Molinaro. (2018). Maximizing Profit with Convex Costs in the Random-order Model. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 14. 1 indexed citations
9.
Laber, Eduardo Sany, et al.. (2018). Binary Partitions with Approximate Minimum Impurity. International Conference on Machine Learning. 2854–2862. 10 indexed citations
10.
Dey, Santanu S., Marco Molinaro, & Qianyi Wang. (2017). Analysis of Sparse Cutting Planes for Sparse MILPs with Applications to Stochastic MILPs. Mathematics of Operations Research. 43(1). 304–332. 14 indexed citations
11.
Pia, Alberto Del, Santanu S. Dey, & Marco Molinaro. (2016). Mixed-integer quadratic programming is in NP. Mathematical Programming. 162(1-2). 225–240. 59 indexed citations
12.
Dash, Sanjeeb, Oktay Günlük, & Marco Molinaro. (2015). On the relative strength of different generalizations of split cuts. Discrete Optimization. 16. 36–50. 3 indexed citations
13.
Awasthi, Pranjal, Madhav Jha, Marco Molinaro, & Sofya Raskhodnikova. (2015). Limitations of Local Filters of Lipschitz and Monotone Functions. View. 7(1). 1–16. 2 indexed citations
14.
Dey, Santanu S., et al.. (2015). Some lower bounds on sparse outer approximations of polytopes. Operations Research Letters. 43(3). 323–328. 4 indexed citations
15.
Aggarwal, Ishani & Marco Molinaro. (2013). Cognitive Versatility: A New Lens for Understanding Team Composition and Diversity. Academy of Management Proceedings. 2013(1). 17297–17297. 1 indexed citations
16.
Basu, Amitabh, et al.. (2013). A $(k+1)$-Slope Theorem for the $k$-Dimensional Infinite Group Relaxation. SIAM Journal on Optimization. 23(2). 1021–1040. 9 indexed citations
17.
Cornuéjols, Gérard & Marco Molinaro. (2012). A 3-Slope Theorem for the infinite relaxation in the plane. Mathematical Programming. 142(1-2). 83–105. 6 indexed citations
18.
Cicalese, Ferdinando, et al.. (2012). Improved Approximation Algorithms for the Average-Case Tree Searching Problem. Algorithmica. 68(4). 1045–1074. 6 indexed citations
19.
Cicalese, Ferdinando, et al.. (2011). On the complexity of searching in trees and partially ordered structures. Theoretical Computer Science. 412(50). 6879–6896. 10 indexed citations
20.
Laber, Eduardo Sany & Marco Molinaro. (2009). An Approximation Algorithm for Binary Searching in Trees. Algorithmica. 59(4). 601–620. 4 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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