Matteo Gnocchi

1.2k total citations
8 papers, 103 citations indexed

About

Matteo Gnocchi is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Matteo Gnocchi has authored 8 papers receiving a total of 103 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Artificial Intelligence and 2 papers in Information Systems and Management. Recurrent topics in Matteo Gnocchi's work include Genomics and Phylogenetic Studies (3 papers), Bioinformatics and Genomic Networks (2 papers) and Gene expression and cancer classification (2 papers). Matteo Gnocchi is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Bioinformatics and Genomic Networks (2 papers) and Gene expression and cancer classification (2 papers). Matteo Gnocchi collaborates with scholars based in Italy and United States. Matteo Gnocchi's co-authors include Luciano Milanesi, Andrea Manconi, Marco Moscatelli, Giuliano Armano, Ettore Mosca, Andrea Casasco, Giovanni Fellegara, Noemi Di Nanni, Alessandro Orro and Matteo Bersanelli and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Applied Sciences.

In The Last Decade

Matteo Gnocchi

8 papers receiving 103 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matteo Gnocchi Italy	7	48	24	14	12	9	8	103
William D. Duncan United States	9	73 1.5×	52 2.2×	11 0.8×	11 0.9×	11 1.2×	32	190
Armin Rauschenberger Luxembourg	6	47 1.0×	16 0.7×	11 0.8×	6 0.5×	6 0.7×	15	129
Huifang Lü China	3	44 0.9×	27 1.1×	9 0.6×	14 1.2×	17 1.9×	5	77
Irina Balaur Luxembourg	7	97 2.0×	13 0.5×	6 0.4×	11 0.9×	4 0.4×	19	141
Fausto Barlocco Italy	8	57 1.2×	23 1.0×	7 0.5×	14 1.2×	2 0.2×	19	233
Martijn G. Kersloot Netherlands	5	41 0.9×	33 1.4×	8 0.6×	5 0.4×	8 0.9×	8	104
Mullai Murugan United States	3	34 0.7×	19 0.8×	29 2.1×	6 0.5×	6 0.7×	7	88
Nicole Deflaux United States	3	28 0.6×	10 0.4×	13 0.9×	5 0.4×	16 1.8×	4	55
Bushra Ayub Pakistan	5	46 1.0×	9 0.4×	4 0.3×	9 0.8×	35 3.9×	18	112
Saif Ur-Rehman United States	3	24 0.5×	20 0.8×	4 0.3×	22 1.8×	13 1.4×	4	77

Countries citing papers authored by Matteo Gnocchi

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Gnocchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Gnocchi

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

All Works

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8 of 8 papers shown

1.

Manconi, Andrea, et al.. (2023). Framing Apache Spark in life sciences. Heliyon. 9(2). e13368–e13368. 4 indexed citations

2.

Manconi, Andrea, Giuliano Armano, Matteo Gnocchi, & Luciano Milanesi. (2022). A Soft-Voting Ensemble Classifier for Detecting Patients Affected by COVID-19. Applied Sciences. 12(15). 7554–7554. 25 indexed citations

3.

Nanni, Noemi Di, Marco Moscatelli, Matteo Gnocchi, Luciano Milanesi, & Ettore Mosca. (2019). isma: an R package for the integrative analysis of mutations detected by multiple pipelines. BMC Bioinformatics. 20(1). 107–107. 6 indexed citations

4.

Nanni, Noemi Di, Matteo Gnocchi, Marco Moscatelli, Luciano Milanesi, & Ettore Mosca. (2019). Gene relevance based on multiple evidences in complex networks. Bioinformatics. 36(3). 865–871. 11 indexed citations

5.

Moscatelli, Marco, Andrea Manconi, Giovanni Fellegara, et al.. (2018). An infrastructure for precision medicine through analysis of big data. BMC Bioinformatics. 19(S10). 351–351. 29 indexed citations

6.

Mosca, Ettore, Matteo Bersanelli, Matteo Gnocchi, et al.. (2017). Network Diffusion-Based Prioritization of Autism Risk Genes Identifies Significantly Connected Gene Modules. Frontiers in Genetics. 8. 129–129. 16 indexed citations

7.

Manconi, Andrea, Marco Moscatelli, Giuliano Armano, et al.. (2016). Removing duplicate reads using graphics processing units. BMC Bioinformatics. 17(S12). 346–346. 6 indexed citations

8.

Manconi, Andrea, Marco Moscatelli, Matteo Gnocchi, et al.. (2015). G-CNV: A GPU-Based Tool for Preparing Data to Detect CNVs with Read-Depth Methods. Frontiers in Bioengineering and Biotechnology. 3. 28–28. 6 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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