Luca Gallo

911 total citations · 1 hit paper
27 papers, 574 citations indexed

About

Luca Gallo is a scholar working on Computer Networks and Communications, Hardware and Architecture and Statistical and Nonlinear Physics. According to data from OpenAlex, Luca Gallo has authored 27 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 13 papers in Hardware and Architecture and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Luca Gallo's work include Embedded Systems Design Techniques (13 papers), Interconnection Networks and Systems (11 papers) and Parallel Computing and Optimization Techniques (9 papers). Luca Gallo is often cited by papers focused on Embedded Systems Design Techniques (13 papers), Interconnection Networks and Systems (11 papers) and Parallel Computing and Optimization Techniques (9 papers). Luca Gallo collaborates with scholars based in Italy, Austria and United Kingdom. Luca Gallo's co-authors include Vito Latora, Alessandro Cilardo, Mattia Frasca, Lucia Valentina Gambuzza, Miguel Romance, Regino Criado, Francesca Di Patti, Stefano Boccaletti, Stefano Lepri and Timotéo Carletti and has published in prestigious journals such as Nature Communications, Science Advances and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Luca Gallo

26 papers receiving 558 citations

Hit Papers

Stability of synchronization in simplicial complexes 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Gallo Italy 12 300 237 118 81 62 27 574
Xueying Ding China 13 193 0.6× 53 0.2× 16 0.1× 23 0.3× 326 5.3× 27 635
Paul Cull United States 15 307 1.0× 94 0.4× 68 0.6× 15 0.2× 87 1.4× 62 907
Stavros G. Stavrinides Greece 12 146 0.5× 275 1.2× 9 0.1× 103 1.3× 20 0.3× 92 649
D.P. Playne New Zealand 11 125 0.4× 69 0.3× 95 0.8× 8 0.1× 13 0.2× 37 372
Zhenbin Liu China 11 98 0.3× 25 0.1× 32 0.3× 12 0.1× 275 4.4× 24 470
Gang Zhang China 10 392 1.3× 342 1.4× 8 0.1× 13 0.2× 23 0.4× 49 569
David P. Rosin United States 9 224 0.7× 141 0.6× 8 0.1× 104 1.3× 41 0.7× 12 396
Heike Schuster United States 7 260 0.9× 106 0.4× 5 0.0× 61 0.8× 47 0.8× 9 436
Martin Gerhardt United States 6 260 0.9× 106 0.4× 5 0.0× 61 0.8× 46 0.7× 7 422

Countries citing papers authored by Luca Gallo

Since Specialization
Citations

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

Fields of papers citing papers by Luca Gallo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Gallo

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Gallo. A scholar is included among the top collaborators of Luca Gallo 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 Luca Gallo. Luca Gallo 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.
Gallo, Luca, et al.. (2026). Reducibility of higher-order networks from dynamics. Nature Communications. 17(1). 1551–1551.
2.
Gallo, Luca, et al.. (2025). The dynamics of leadership and success in software development teams. Nature Communications. 16(1). 3956–3956. 3 indexed citations
3.
Gallo, Luca, et al.. (2025). A pair-based approximation for simplicial contagion. Chaos Solitons & Fractals. 199. 116776–116776. 1 indexed citations
4.
Gallo, Luca, Lucas Lacasa, Vito Latora, & Federico Battiston. (2024). Higher-order correlations reveal complex memory in temporal hypergraphs. Nature Communications. 15(1). 4754–4754. 18 indexed citations
5.
Gallo, Luca, et al.. (2024). COMPLEX CONTAGION IN SOCIAL SYSTEMS WITH DISTRUST. Advances in Complex Systems. 27(04n05). 5 indexed citations
6.
Gallo, Luca, Riccardo Muolo, Lucia Valentina Gambuzza, et al.. (2022). Synchronization induced by directed higher-order interactions. Communications Physics. 5(1). 67 indexed citations
7.
Gallo, Luca, et al.. (2022). Individual- and pair-based models of epidemic spreading: Master equations and analysis of their forecasting capabilities. Physical Review Research. 4(2). 6 indexed citations
8.
Muolo, Riccardo, Luca Gallo, Vito Latora, Mattia Frasca, & Timotéo Carletti. (2022). Turing patterns in systems with high-order interactions. Chaos Solitons & Fractals. 166. 112912–112912. 36 indexed citations
9.
Gallo, Luca, Mattia Frasca, Vito Latora, & Giovanni Russo. (2022). Lack of practical identifiability may hamper reliable predictions in COVID-19 epidemic models. Science Advances. 8(3). eabg5234–eabg5234. 31 indexed citations
10.
Gambuzza, Lucia Valentina, Francesca Di Patti, Luca Gallo, et al.. (2021). Stability of synchronization in simplicial complexes. Nature Communications. 12(1). 1255–1255. 226 indexed citations breakdown →
11.
Gallo, Luca, et al.. (2020). Assessing the robustness of decentralized gathering: a multi-agent approach on micro-biological systems. Swarm Intelligence. 14(4). 313–331. 3 indexed citations
12.
Cilardo, Alessandro & Luca Gallo. (2015). Interplay of loop unrolling and multidimensional memory partitioning in HLS. Design, Automation, and Test in Europe. 163–168. 21 indexed citations
13.
Cilardo, Alessandro & Luca Gallo. (2015). Interplay of Loop Unrolling and Multidimensional Memory Partitioning in HLS. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015. 163–168. 24 indexed citations
14.
Gallo, Luca, Alessandro Cilardo, David B. Thomas, Samuel Bayliss, & George A. Constantinides. (2014). Area implications of memory partitioning for high-level synthesis on FPGAs. 28. 1–4. 7 indexed citations
15.
Cilardo, Alessandro & Luca Gallo. (2014). Generating On-Chip Heterogeneous Systems from High-Level Parallel Code. 3038. 161–168. 1 indexed citations
16.
Cilardo, Alessandro, et al.. (2014). Joint communication scheduling and interconnect synthesis for FPGA-based many-core systems. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014. 1–4. 2 indexed citations
17.
Cilardo, Alessandro, et al.. (2014). Joint communication scheduling and interconnect synthesis for FPGA-based many-core systems. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014. 1–4. 3 indexed citations
18.
Cilardo, Alessandro, et al.. (2014). Automated design space exploration for FPGA-based heterogeneous interconnects. Design Automation for Embedded Systems. 18(3-4). 157–170. 5 indexed citations
19.
Cilardo, Alessandro, Luca Gallo, Antonino Mazzeo, & Nicola Mazzocca. (2013). Efficient and scalable OpenMP-based system-level design. Design, Automation, and Test in Europe. 988–991. 18 indexed citations
20.
Cilardo, Alessandro, Luca Gallo, & Nicola Mazzocca. (2013). Design space exploration for high-level synthesis of multi-threaded applications. Journal of Systems Architecture. 59(10). 1171–1183. 21 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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