Davide Chicco
Impact in
- Health Information Management top 0.1%
- Artificial Intelligence in Healthcare
- Health Informatics top 1%
Papers in
-
- Gene expression and cancer classification 22
- Bioinformatics and Genomic Networks 18
- Biomedical Text Mining and Ontologies 12
- Genetics, Bioinformatics, and Biomedical Research 7
- Machine Learning in Bioinformatics 5
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- Imbalanced Data Classification Techniques 6
- Co-authors
- Giuseppe Jurman (21 shared papers)Matthijs J. Warrens (2 shared papers)Niklas Tötsch (1 shared paper)Marco Masseroli (13 shared papers)Luca Oneto (9 shared papers)Peter Sadowski (1 shared paper)Pierre Baldi (1 shared paper)Pietro Pinoli (5 shared papers)
- Journals
- BioData Mining (12 papers)PLoS Computational Biology (11 papers)PeerJ Computer Science (9 papers)IEEE Access (5 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (4 papers)
- Partner nations
- CanadaItalyUnited States
In The Last Decade
Davide Chicco
71 papers receiving 10.3k citations
Davide Chicco's Hit Papers
Peers
Comparison fields: 5 of 228
- Health Information Management 589
- Health Informatics 133
- Artificial Intelligence 2.6k
- Environmental Engineering 591
- Signal Processing 450
Countries citing papers authored by Davide Chicco
This map shows the geographic impact of Davide Chicco'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 Davide Chicco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Chicco more than expected).
Fields of papers citing papers by Davide Chicco
This network shows the impact of papers produced by Davide Chicco. 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 Davide Chicco. The network helps show where Davide Chicco may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Chicco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation Hit paper breakdown → | 2020 | 3740 |
| 2 | The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation Hit paper breakdown → | 2021 | 2998 |
| 3 | Ten quick tips for machine learning in computational biology Hit paper breakdown → | 2017 | 617 |
| 4 | The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation Hit paper breakdown → | 2021 | 591 |
| 5 | Siamese Neural Networks: An Overview Hit paper breakdown → | 2020 | 415 |
| 6 | Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone Hit paper breakdown → | 2020 | 387 |
| 7 | The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification Hit paper breakdown → | 2023 | 302 |
| 8 | The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen’s Kappa and Brier Score in Binary Classification Assessment Hit paper breakdown → | 2021 | 292 |
| 9 | 2014 | 131 | |
| 10 | 2020 | 118 | |
| 11 | Increased lipid peroxidation in type 2 poorly controlled diabetic patients. | 1993 | 96 |
| 12 | 2018 | 73 | |
| 13 | 2021 | 71 | |
| 14 | 2019 | 52 | |
| 15 | 2022 | 49 | |
| 16 | 2020 | 43 | |
| 17 | 2021 | 42 | |
| 18 | 2022 | 40 | |
| 19 | 2012 | 36 | |
| 20 | 2021 | 35 |
About Davide Chicco
Davide Chicco is a scholar working on Molecular Biology, Artificial Intelligence, Epidemiology, Information Systems and Information Systems and Management, having authored 77 papers that have together received 10.6k indexed citations. Recurring topics across this work include Gene expression and cancer classification (22 papers), Bioinformatics and Genomic Networks (18 papers), Biomedical Text Mining and Ontologies (12 papers), Genetics, Bioinformatics, and Biomedical Research (7 papers), Imbalanced Data Classification Techniques (6 papers), Sepsis Diagnosis and Treatment (5 papers), Machine Learning in Bioinformatics (5 papers) and Scientific Computing and Data Management (5 papers). The work is most often cited by research in Health Information Management (589 citations), Health Informatics (133 citations), Artificial Intelligence (2.6k citations), Environmental Engineering (591 citations) and Signal Processing (450 citations). Davide Chicco has collaborated with scholars based in Canada, Italy and United States. Frequent co-authors include Giuseppe Jurman, Matthijs J. Warrens, Niklas Tötsch, Marco Masseroli, Luca Oneto, Peter Sadowski, Pierre Baldi, Pietro Pinoli, Cristina Rovelli and Giuseppe Agapito. Their work appears in journals such as BioData Mining, PLoS Computational Biology, PeerJ Computer Science, IEEE Access and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.