Francesco Gregoretti

866 total citations
31 papers, 488 citations indexed

About

Francesco Gregoretti is a scholar working on Molecular Biology, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Francesco Gregoretti has authored 31 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Hardware and Architecture and 6 papers in Computer Networks and Communications. Recurrent topics in Francesco Gregoretti's work include Parallel Computing and Optimization Techniques (6 papers), Genomics and Chromatin Dynamics (5 papers) and Embedded Systems Design Techniques (5 papers). Francesco Gregoretti is often cited by papers focused on Parallel Computing and Optimization Techniques (6 papers), Genomics and Chromatin Dynamics (5 papers) and Embedded Systems Design Techniques (5 papers). Francesco Gregoretti collaborates with scholars based in Italy, United Kingdom and United States. Francesco Gregoretti's co-authors include Gennaro Oliva, Laura Antonelli, Diego di Bernardo, Chiara Lanzuolo, Vincenzo Belcastro, Fabrizia Marullo, Elisa Cesarini, Velia Siciliano, Beatrice Bodega and Gopuraja Dharmalingam and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Francesco Gregoretti

27 papers receiving 477 citations

Peers

Francesco Gregoretti
Kenneth Daily United States
Cheng Zhu China
Matthew Danish United States
Audrey Lee United States
Asif Javed United States
Li Ai China
Kenneth Daily United States
Francesco Gregoretti
Citations per year, relative to Francesco Gregoretti Francesco Gregoretti (= 1×) peers Kenneth Daily

Countries citing papers authored by Francesco Gregoretti

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Gregoretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Gregoretti

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Gregoretti. A scholar is included among the top collaborators of Francesco Gregoretti 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 Francesco Gregoretti. Francesco Gregoretti 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.
Maisto, Domenico, Francesco Gregoretti, Karl Friston, & Giovanni Pezzulo. (2025). Active inference tree search in large POMDPs. Neurocomputing. 623. 129319–129319.
2.
Gregoretti, Francesco, et al.. (2023). Segmentation, 3D Reconstruction, and Analysis of PcG Proteins in Fluorescence Microscopy Images in Different Cell Culture Conditions. Methods in molecular biology. 2655. 147–169.
3.
Gregoretti, Francesco, Giovanni Pezzulo, & Domenico Maisto. (2023). cpp-AIF: A multi-core C++ implementation of Active Inference for Partially Observable Markov Decision Processes. Neurocomputing. 568. 127065–127065. 3 indexed citations
4.
Shytaj, Iart Luca, Bojana Lucic, Mattia Forcato, et al.. (2020). Alterations of redox and iron metabolism accompany the development of HIV latency. The EMBO Journal. 39(9). e102209–e102209. 27 indexed citations
5.
Bianchi, Andrea, Chiara Mozzetta, Sara Valsoni, et al.. (2020). Dysfunctional polycomb transcriptional repression contributes to lamin A/C–dependent muscular dystrophy. Journal of Clinical Investigation. 130(5). 2408–2421. 39 indexed citations
6.
Sebestyén, Endre, Fabrizia Marullo, Andrea Bianchi, et al.. (2020). SAMMY-seq reveals early alteration of heterochromatin and deregulation of bivalent genes in Hutchinson-Gilford Progeria Syndrome. Nature Communications. 11(1). 6274–6274. 27 indexed citations
7.
Sinha, Shruti, Francesco Gregoretti, Laura Antonelli, et al.. (2019). 4q-D4Z4 chromatin architecture regulates the transcription of muscle atrophic genes in facioscapulohumeral muscular dystrophy. Genome Research. 29(6). 883–895. 11 indexed citations
8.
Gregoretti, Francesco, Elisa Cesarini, Chiara Lanzuolo, Gennaro Oliva, & Laura Antonelli. (2016). An Automatic Segmentation Method Combining an Active Contour Model and a Classification Technique for Detecting Polycomb-group Proteinsin High-Throughput Microscopy Images. Methods in molecular biology. 1480. 181–197. 6 indexed citations
9.
Marullo, Fabrizia, Elisa Cesarini, Laura Antonelli, et al.. (2016). Nucleoplasmic Lamin A/C and Polycomb group of proteins: An evolutionarily conserved interplay. Nucleus. 7(2). 103–111. 31 indexed citations
10.
Cesarini, Elisa, Chiara Mozzetta, Fabrizia Marullo, et al.. (2015). Lamin A/C sustains PcG protein architecture, maintaining transcriptional repression at target genes. The Journal of Cell Biology. 211(3). 533–551. 86 indexed citations
11.
Belcastro, Vincenzo, Francesco Gregoretti, Velia Siciliano, et al.. (2011). Reverse Engineering and Analysis of Genome-Wide Gene Regulatory Networks from Gene Expression Profiles Using High-Performance Computing. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(3). 668–678. 8 indexed citations
12.
Belcastro, Vincenzo, Velia Siciliano, Francesco Gregoretti, et al.. (2011). Transcriptional gene network inference from a massive dataset elucidates transcriptome organization and gene function. Nucleic Acids Research. 39(20). 8677–8688. 89 indexed citations
13.
Gregoretti, Francesco, Vincenzo Belcastro, Diego di Bernardo, & Gennaro Oliva. (2010). A Parallel Implementation of the Network Identification by Multiple Regression (NIR) Algorithm to Reverse-Engineer Regulatory Gene Networks. PLoS ONE. 5(4). e10179–e10179. 18 indexed citations
14.
Murli, A., Luisa D’Amore, Giuliano Laccetti, Francesco Gregoretti, & Gennaro Oliva. (2010). A multi‐grained distributed implementation of the parallel Block Conjugate Gradient algorithm. Concurrency and Computation Practice and Experience. 22(15). 2053–2072. 7 indexed citations
15.
Antonelli, Laura, et al.. (2008). A distributed combustion solver for engine simulations on grids. Journal of Computational and Applied Mathematics. 226(2). 197–204. 4 indexed citations
16.
Rosa, Alberto La, Claudio Passerone, Luciano Lavagno, Francesco Gregoretti, & Alberto Sangiovanni‐Vincentelli. (1999). Finite State Machine Composition for Embedded Hardware/Software Trade-offs. PORTO Publications Open Repository TOrino (Politecnico di Torino).
17.
Gregoretti, Francesco, et al.. (1998). An Intelligent Register File for Neural Processing Applications. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations
18.
Corso, Dante Del, Francesco Gregoretti, & Leonardo Reyneri. (1993). An Artificial Neural System Using Coherent Pulse Width and Edge Modulations. PORTO Publications Open Repository TOrino (Politecnico di Torino). 3 indexed citations
19.
Broggi, Alberto, Vincenzo D’Andrea, & Francesco Gregoretti. (1992). A LOW-COST PARALLEL VLSI ARCHITECTURE FOR LOW-LEVEL VISION. Machine Vision and Applications. 11–16. 6 indexed citations
20.
Gregoretti, Francesco, et al.. (1992). A chip set implementation of a parallel cellular architecture. Microprocessing and Microprogramming. 35(1-5). 417–425. 5 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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