Marco Piangerelli

545 total citations
24 papers, 343 citations indexed

About

Marco Piangerelli is a scholar working on Molecular Biology, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Marco Piangerelli has authored 24 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cognitive Neuroscience and 4 papers in Artificial Intelligence. Recurrent topics in Marco Piangerelli's work include Topological and Geometric Data Analysis (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Musculoskeletal pain and rehabilitation (2 papers). Marco Piangerelli is often cited by papers focused on Topological and Geometric Data Analysis (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Musculoskeletal pain and rehabilitation (2 papers). Marco Piangerelli collaborates with scholars based in Italy, France and United States. Marco Piangerelli's co-authors include Rosita Gabbianelli, Emanuela Merelli, Laura Bordoni, Cinzia Nasuti, Matteo Rucco, Roberto Selvaggini, Donatella Fedeli, Maurizio Servili, Luca Tesei and Andrea De Simone and has published in prestigious journals such as The FASEB Journal, Journal of neurosurgery and Sensors.

In The Last Decade

Marco Piangerelli

21 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Piangerelli Italy 11 70 58 42 33 33 24 343
Shareefa A. AlGhamdi Saudi Arabia 12 110 1.6× 23 0.4× 15 0.4× 33 1.0× 45 1.4× 35 439
Arumugam Ramachandran Muralidharan India 11 99 1.4× 17 0.3× 30 0.7× 15 0.5× 16 0.5× 16 377
Qiyi Wang China 14 216 3.1× 21 0.4× 23 0.5× 59 1.8× 10 0.3× 48 518
Kushi Anand India 15 197 2.8× 21 0.4× 20 0.5× 39 1.2× 67 2.0× 25 557
Wen‐Yuan Lee Taiwan 10 84 1.2× 25 0.4× 80 1.9× 6 0.2× 14 0.4× 35 416
Shivendra Kumar India 11 87 1.2× 13 0.2× 15 0.4× 19 0.6× 38 1.2× 65 354
Azian Azamimi Abdullah Malaysia 14 85 1.2× 63 1.1× 17 0.4× 7 0.2× 16 0.5× 62 551
Sunho Lee South Korea 13 187 2.7× 26 0.4× 27 0.6× 11 0.3× 57 1.7× 72 541
Jihye Lee South Korea 7 147 2.1× 40 0.7× 117 2.8× 48 1.5× 39 1.2× 19 638

Countries citing papers authored by Marco Piangerelli

Since Specialization
Citations

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

Fields of papers citing papers by Marco Piangerelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Piangerelli

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Piangerelli. A scholar is included among the top collaborators of Marco Piangerelli 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 Piangerelli. Marco Piangerelli 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.
2.
Cacciagrano, Diletta, et al.. (2025). Explainability and Interpretability in Concept and Data Drift: A Systematic Literature Review. Algorithms. 18(7). 443–443. 3 indexed citations
3.
Corradini, Flavio, et al.. (2025). State of the Art and Future Directions of Small Language Models: A Systematic Review. Big Data and Cognitive Computing. 9(7). 189–189. 2 indexed citations
4.
5.
Alexopoulos, Charalampos, et al.. (2024). BRYT: Automated keyword extraction for open datasets. Intelligent Systems with Applications. 23. 200421–200421. 3 indexed citations
6.
Ciccarelli, Marianna, Flavio Corradini, Michele Germani, et al.. (2022). SPECTRE: a deep learning network for posture recognition in manufacturing. Journal of Intelligent Manufacturing. 34(8). 3469–3481. 20 indexed citations
7.
Bordoni, Laura, Iwona Pelikant‐Małecka, Marco Piangerelli, et al.. (2021). Mitochondrial DNA copy number and trimethylamine levels in the blood: New insights on cardiovascular disease biomarkers. The FASEB Journal. 35(7). e21694–e21694. 20 indexed citations
8.
Mancini, Alessio, et al.. (2020). Machine learning models predicting multidrug resistant urinary tract infections using “DsaaS”. BMC Bioinformatics. 21(S10). 347–347. 35 indexed citations
9.
Simone, Andrea De & Marco Piangerelli. (2020). A Bayesian approach for monitoring epidemics in presence of undetected cases. Chaos Solitons & Fractals. 140. 110167–110167. 13 indexed citations
10.
Piangerelli, Marco, et al.. (2020). Visualising 2-simplex formation in metabolic reactions. Journal of Molecular Graphics and Modelling. 97. 107576–107576. 6 indexed citations
11.
Bordoni, Laura, Donatella Fedeli, Marco Piangerelli, et al.. (2020). Gender-Related Differences in Trimethylamine and Oxidative Blood Biomarkers in Cardiovascular Disease Patients. Biomedicines. 8(8). 238–238. 6 indexed citations
12.
Nasuti, Cinzia, Donatella Fedeli, Laura Bordoni, et al.. (2019). Anti-Inflammatory, Anti-Arthritic and Anti-Nociceptive Activities of Nigella sativa Oil in a Rat Model of Arthritis. Antioxidants. 8(9). 342–342. 68 indexed citations
13.
Piangerelli, Marco, Matteo Rucco, Luca Tesei, & Emanuela Merelli. (2018). Topological classifier for detecting the emergence of epileptic seizures. BMC Research Notes. 11(1). 392–392. 33 indexed citations
14.
Bordoni, Laura, Francesca Marchegiani, Marco Piangerelli, Valerio Napolioni, & Rosita Gabbianelli. (2017). Obesity‐related genetic polymorphisms and adiposity indices in a young Italian population. IUBMB Life. 69(2). 98–105. 26 indexed citations
15.
Domingues, Valentina F., Cinzia Nasuti, Marco Piangerelli, et al.. (2016). Pyrethroid Pesticide Metabolite in Urine and Microelements in Hair of Children Affected by Autism Spectrum Disorders: A Preliminary Investigation. International Journal of Environmental Research and Public Health. 13(4). 388–388. 38 indexed citations
16.
Ferraro, Stefano, Cinzia Nasuti, Marco Piangerelli, et al.. (2016). Hair Microelement Profile as a Prognostic Tool in Parkinson’s Disease. Toxics. 4(4). 27–27. 8 indexed citations
17.
Merelli, Emanuela, et al.. (2016). A topological approach for multivariate time series characterization: the epileptic brain. Unicam Scientific Publications (University of Camerino). 11 indexed citations
18.
Nasuti, Cinzia, Stefano Ferraro, Rita Giovannetti, Marco Piangerelli, & Rosita Gabbianelli. (2016). Metal and Microelement Biomarkers of Neurodegeneration in Early Life Permethrin-Treated Rats. Toxics. 4(1). 3–3. 8 indexed citations
19.
Piangerelli, Marco, Stefano Marchetti, Paolo Cristiani, et al.. (2014). A Fully Integrated Wireless System for Intracranial Direct Cortical Stimulation, Real-Time Electrocorticography Data Transmission, and Smart Cage for Wireless Battery Recharge. Frontiers in Neurology. 5. 16 indexed citations
20.
Merelli, Emanuela & Marco Piangerelli. (2014). RNN-based Model for Self-adaptive Systems - The Emergence of Epilepsy in the Human Brain. Unicam Scientific Publications (University of Camerino). 356–361. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Shareefa A. AlGhamdi Breakdown of academic impact, for papers by Arumugam Ramachandran Muralidharan Breakdown of academic impact, for papers by Qiyi Wang Breakdown of academic impact, for papers by Kushi Anand Breakdown of academic impact, for papers by Wen‐Yuan Lee Breakdown of academic impact, for papers by Shivendra Kumar Breakdown of academic impact, for papers by Azian Azamimi Abdullah Breakdown of academic impact, for papers by Sunho Lee Breakdown of academic impact, for papers by Jihye Lee
Rankless by CCL
2026