Andrea Manconi

1.2k total citations
25 papers, 229 citations indexed

About

Andrea Manconi is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Andrea Manconi has authored 25 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Andrea Manconi's work include Machine Learning in Bioinformatics (4 papers), Genomics and Phylogenetic Studies (4 papers) and Web Data Mining and Analysis (3 papers). Andrea Manconi is often cited by papers focused on Machine Learning in Bioinformatics (4 papers), Genomics and Phylogenetic Studies (4 papers) and Web Data Mining and Analysis (3 papers). Andrea Manconi collaborates with scholars based in Italy and United States. Andrea Manconi's co-authors include Giuliano Armano, Luciano Milanesi, Alessandro Orro, Matteo Gnocchi, Jessica Zampolli, Patrizia Di Gennaro, Diletta Ami, Antonino Natalello, Cecilia Di Ruberto and Andrea Loddo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Andrea Manconi

25 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Manconi Italy 9 74 59 44 29 22 25 229
Shuting Wang China 10 51 0.7× 78 1.3× 8 0.2× 5 0.2× 50 2.3× 36 374
Pei‐Chao Wang China 11 139 1.9× 54 0.9× 38 0.9× 3 0.1× 27 1.2× 26 445
Mengge Liu China 8 77 1.0× 81 1.4× 7 0.2× 27 0.9× 3 0.1× 30 299
Bao Fu China 6 55 0.7× 17 0.3× 63 1.4× 5 0.2× 6 0.3× 21 306
Yunjuan Wang China 8 75 1.0× 18 0.3× 46 1.0× 35 1.2× 17 0.8× 22 311
Qian Xia China 12 153 2.1× 49 0.8× 5 0.1× 18 0.6× 84 3.8× 53 414
Yongquan Lu China 8 64 0.9× 104 1.8× 11 0.3× 51 1.8× 59 2.7× 45 312
Xue Liu China 12 107 1.4× 9 0.2× 11 0.3× 10 0.3× 29 1.3× 33 361
Noor E. Hafsa Saudi Arabia 9 157 2.1× 12 0.2× 33 0.8× 5 0.2× 14 0.6× 17 329

Countries citing papers authored by Andrea Manconi

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Manconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Manconi

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Manconi. A scholar is included among the top collaborators of Andrea Manconi 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 Andrea Manconi. Andrea Manconi 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.
Manconi, Andrea, Luciano Milanesi, Gennaro Ciliberto, et al.. (2025). Implementation of a Digital Maturity Framework for Biobanking. Journal of Biomedical Informatics. 166. 104842–104842. 1 indexed citations
2.
Loddo, Andrea, Cecilia Di Ruberto, Giuliano Armano, & Andrea Manconi. (2024). Detecting coagulation time in cheese making by means of computer vision and machine learning techniques. Computers in Industry. 164. 104173–104173. 8 indexed citations
3.
Manconi, Andrea, et al.. (2023). Framing Apache Spark in life sciences. Heliyon. 9(2). e13368–e13368. 4 indexed citations
4.
Armano, Giuliano & Andrea Manconi. (2023). Devising novel performance measures for assessing the behavior of multilayer perceptrons trained on regression tasks. PLoS ONE. 18(5). e0285471–e0285471. 2 indexed citations
5.
Bernardo, Letizia, Pasqualina D’Ursi, Chiara Urbinati, et al.. (2023). An innovative strategy to investigate microbial protein modifications in a reliable fast and sensitive way: A therapy oriented proof of concept based on UV-C irradiation of SARS-CoV-2 spike protein. Pharmacological Research. 194. 106862–106862. 2 indexed citations
6.
Blanco, Emanuela, et al.. (2022). R2R3-MYBs in Durum Wheat: Genome-Wide Identification, Poaceae-Specific Clusters, Expression, and Regulatory Dynamics Under Abiotic Stresses. Frontiers in Plant Science. 13. 896945–896945. 11 indexed citations
7.
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
8.
Zampolli, Jessica, Alessandro Orro, Andrea Manconi, et al.. (2021). Transcriptomic analysis of Rhodococcus opacus R7 grown on polyethylene by RNA-seq. Scientific Reports. 11(1). 21311–21311. 54 indexed citations
9.
Zampolli, Jessica, Alessandra Di Canito, Andrea Manconi, et al.. (2020). Transcriptomic Analysis of Rhodococcus opacus R7 Grown on o-Xylene by RNA-Seq. Frontiers in Microbiology. 11. 1808–1808. 9 indexed citations
10.
Bickel, Valentin, Charis Lanaras, Andrea Manconi, Simon Loew, & U. Mall. (2018). Automated detection of lunar rockfalls using a Faster Region-based Convolutional Neural Network. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
11.
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
12.
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
13.
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
14.
Manconi, Andrea, et al.. (2014). GPU-BSM: A GPU-Based Tool to Map Bisulfite-Treated Reads. PLoS ONE. 9(5). e97277–e97277. 4 indexed citations
15.
Manconi, Andrea, et al.. (2014). A tool for mapping Single Nucleotide Polymorphisms using Graphics Processing Units. BMC Bioinformatics. 15(S1). S10–S10. 11 indexed citations
16.
Armano, Giuliano & Andrea Manconi. (2009). ProDaMa: an open source Python library to generate protein structure datasets. BMC Research Notes. 2(1). 202–202. 2 indexed citations
17.
Armano, Giuliano, Andrea Manconi, & Eloisa Vargiu. (2007). A Multiagent System for Retrieving Bioinformatics Publications From Web Sources. IEEE Transactions on NanoBioscience. 6(2). 104–109. 1 indexed citations
18.
Manconi, Andrea, et al.. (2006). A MultiAgent System for Personalized Press Reviews. UNICA IRIS Institutional Research Information System (University of Cagliari). 1 indexed citations
19.
Armano, Giuliano, et al.. (2005). PACMAS: A Personalized, Adaptive, and Cooperative MultiAgent System Architecture. UNICA IRIS Institutional Research Information System (University of Cagliari). 54–60. 3 indexed citations
20.
Manconi, Andrea, et al.. (2005). Text Categorization Using a Personalized, Adaptive, and Cooperative MultiAgent System. 61–65. 1 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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