Marco Grassia

697 total citations · 1 hit paper
11 papers, 332 citations indexed

About

Marco Grassia is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marco Grassia has authored 11 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistical and Nonlinear Physics, 4 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marco Grassia's work include Complex Network Analysis Techniques (8 papers), Advanced Graph Neural Networks (4 papers) and Mental Health Research Topics (2 papers). Marco Grassia is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Advanced Graph Neural Networks (4 papers) and Mental Health Research Topics (2 papers). Marco Grassia collaborates with scholars based in Italy, Ireland and Austria. Marco Grassia's co-authors include Giuseppe Mangioni, Manlio De Domenico, Filippo Radicchi, James P. Gleeson, Oriol Artime, Hernán A. Makse, Matjaž Perc, Stefano Schiavo, Michele Malgeri and Silvio Traverso and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Marco Grassia

9 papers receiving 318 citations

Hit Papers

Robustness and resilience of complex networks 2024 2026 2025 2024 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Robustness and resilience of complex networks
    2024 262 citations Oriol Artime, Marco Grassia et al. Nature Reviews Physics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Grassia Italy 7 145 58 46 35 34 11 332
Ted G. Lewis Canada 7 126 0.9× 73 1.3× 31 0.7× 35 1.0× 33 1.0× 18 359
Igor Mishkovski North Macedonia 9 114 0.8× 84 1.4× 35 0.8× 24 0.7× 19 0.6× 27 266
Xiangrong Wang China 8 148 1.0× 58 1.0× 45 1.0× 11 0.3× 49 1.4× 21 437
Akira Namatame Japan 9 80 0.6× 37 0.6× 45 1.0× 46 1.3× 11 0.3× 82 303
G. Mukherjee India 8 348 2.4× 70 1.2× 19 0.4× 15 0.4× 27 0.8× 16 518
Daijun Wei China 8 148 1.0× 25 0.4× 38 0.8× 18 0.5× 15 0.4× 23 321
Xueming Liu China 9 260 1.8× 87 1.5× 29 0.6× 46 1.3× 122 3.6× 25 501
Dongli Duan China 12 178 1.2× 86 1.5× 23 0.5× 32 0.9× 68 2.0× 45 560
Antonio Majdandzic United States 6 225 1.6× 81 1.4× 22 0.5× 44 1.3× 47 1.4× 10 406
Asim Kumer Dey United States 9 83 0.6× 14 0.2× 33 0.7× 12 0.3× 21 0.6× 17 243

Countries citing papers authored by Marco Grassia

Since Specialization
Citations

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

Fields of papers citing papers by Marco Grassia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Grassia

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

All Works

11 of 11 papers shown
1.
2.
Artime, Oriol, Marco Grassia, Manlio De Domenico, et al.. (2024). Robustness and resilience of complex networks. Nature Reviews Physics. 6(2). 114–131. 262 indexed citations breakdown →
3.
Carchiolo, Vincenza, Marco Grassia, Michele Malgeri, & Giuseppe Mangioni. (2024). Geometric Deep Learning sub-network extraction for Maximum Clique Enumeration. PLoS ONE. 19(1). e0296185–e0296185.
4.
Dutta, Sourav, et al.. (2023). Learning fine-grained search space pruning and heuristics for combinatorial optimization. Journal of Heuristics. 29(2-3). 313–347. 9 indexed citations
5.
Carchiolo, Vincenza, Marco Grassia, Michele Malgeri, & Giuseppe Mangioni. (2022). Co-Authorship Networks Analysis to Discover Collaboration Patterns among Italian Researchers. Future Internet. 14(6). 187–187. 9 indexed citations
6.
Carchiolo, Vincenza, et al.. (2022). Link Prediction in Time Varying Social Networks. Information. 13(3). 123–123. 12 indexed citations
7.
Carchiolo, Vincenza, Marco Grassia, Alessandro Longheu, Michele Malgeri, & Giuseppe Mangioni. (2022). Efficient Node PageRank Improvement via Link-building using Geometric Deep Learning. ACM Transactions on Knowledge Discovery from Data. 17(3). 1–22. 3 indexed citations
8.
Grassia, Marco, Giuseppe Mangioni, Stefano Schiavo, & Silvio Traverso. (2022). Insights into countries’ exposure and vulnerability to food trade shocks from network-based simulations. Scientific Reports. 12(1). 4644–4644. 20 indexed citations
9.
Carchiolo, Vincenza, Marco Grassia, Alessandro Longheu, Michele Malgeri, & Giuseppe Mangioni. (2021). A Network-Based Analysis of a Worksite Canteen Dataset. Big Data and Cognitive Computing. 5(1). 11–11. 2 indexed citations
10.
Grassia, Marco, Giuseppe Mangioni, Stefano Schiavo, & Silvio Traverso. (2021). (Unintended) Consequences of export restrictions on medical goods during the Covid-19 pandemic. Journal of Complex Networks. 10(1). 7 indexed citations
11.
Carchiolo, Vincenza, Marco Grassia, Alessandro Longheu, Michele Malgeri, & Giuseppe Mangioni. (2019). Network robustness improvement via long-range links. SHILAP Revista de lepidopterología. 6(1). 8 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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