Marco Molinaro

33 papers receiving 232 citations

Peers

Marco Molinaro
Comparison fields: 5 of 55
  • Numerical Analysis 43
  • Computational Theory and Mathematics 83
  • Computer Networks and Communications 99
  • Industrial and Manufacturing Engineering 38
  • Computer Graphics and Computer-Aided Design 9
Replace Daniel E. Steffy with:
Daniel E. Steffy United States
Stefano Smriglio Italy
Djamila Sam-Haroud Switzerland
David J. Houck United States
István Maros United Kingdom
Guy Pierra France
Volker Kaibel Germany
Vera Kovačevíc-Vujčić Serbia
Doron Chen Israel
Leonidas Pitsoulis Greece
Marco Molinaro relative to Daniel E. Steffy United States Daniel E. Steffy's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Marco Molinaro, 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 Marco Molinaro Line = papers co-authored together Marco Molinaro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201660
2 201322
3 201620
4 201714
5 201614
6 201110
7 201510
8
Binary Partitions with Approximate Minimum Impurity
201810
9 20209
10 20139
11 20139
12
Beating the Direct Sum Theorem in Communication Complexity with Implications for Sketching
20138
13 20236
14 20126
15 20126
16 20094
17 20224
18 20154
19 20153
20 20153

About Marco Molinaro

Marco Molinaro is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence, Numerical Analysis and Management Science and Operations Research, having authored 35 papers that have together received 249 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (15 papers), Optimization and Search Problems (11 papers), Advanced Optimization Algorithms Research (6 papers), Sparse and Compressive Sensing Techniques (5 papers), Vehicle Routing Optimization Methods (5 papers), Optimization and Packing Problems (5 papers), Cryptography and Data Security (4 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Numerical Analysis (43 citations), Computational Theory and Mathematics (83 citations), Computer Networks and Communications (99 citations), Industrial and Manufacturing Engineering (38 citations) and Computer Graphics and Computer-Aided Design (9 citations). Marco Molinaro has collaborated with scholars based in United States, Brazil and Italy. Frequent co-authors include Santanu S. Dey, Alberto Del Pia, R. Ravi, Eduardo Sany Laber, Anupam Gupta, David P. Woodruff, Grigory Yaroslavtsev, Qianyi Wang, Ferdinando Cicalese and Thomas Kalinowski. Their work appears in journals such as Mathematical Programming, Mathematics of Operations Research, Algorithmica, Operations Research Letters and Theoretical Computer Science.

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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