Gianluca Bontempi

22.0k total citations · 8 hit papers
207 papers, 12.0k citations indexed

About

Gianluca Bontempi is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Gianluca Bontempi has authored 207 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Artificial Intelligence, 61 papers in Molecular Biology and 26 papers in Management Science and Operations Research. Recurrent topics in Gianluca Bontempi's work include Gene expression and cancer classification (37 papers), Bioinformatics and Genomic Networks (29 papers) and Neural Networks and Applications (28 papers). Gianluca Bontempi is often cited by papers focused on Gene expression and cancer classification (37 papers), Bioinformatics and Genomic Networks (29 papers) and Neural Networks and Applications (28 papers). Gianluca Bontempi collaborates with scholars based in Belgium, Italy and United States. Gianluca Bontempi's co-authors include Olivier Caelen, Catharina Olsen, Benjamin Haibe‐Kains, Patrick E. Meyer, Andrea Dal Pozzolo, Antonio Colaprico, Yann‐Aël Le Borgne, Souhaib Ben Taieb, Tiago C. Silva and Houtan Noushmehr and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Gianluca Bontempi

193 papers receiving 11.6k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data

2015 2.4k citations Catharina Olsen, Gianluca Bontempi et al. Nucleic Acids Research profile →
Biological Processes Associated with Breast Cancer Clinical Outcome Depend on the Molecular Subtypes

2008 601 citations Christine Desmedt, Benjamin Haibe‐Kains et al. profile →
Definition of Clinically Distinct Molecular Subtypes in Estrogen Receptor–Positive Breast Carcinomas Through Genomic Grade

2007 599 citations Benjamin Haibe‐Kains, Christine Desmedt et al. profile →
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition

2012 467 citations Gianluca Bontempi et al. Expert Systems with Applications profile →
Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy

2017 338 citations Andrea Dal Pozzolo, Giacomo Boracchi et al. IEEE Transactions on Neural Networks and Learning Systems profile →
Calibrating Probability with Undersampling for Unbalanced Classification

2015 320 citations Andrea Dal Pozzolo, Olivier Caelen et al. profile →
New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx

2019 310 citations Catharina Olsen, Gianluca Bontempi et al. profile →
Learned lessons in credit card fraud detection from a practitioner perspective

2014 294 citations Andrea Dal Pozzolo, Olivier Caelen et al. Expert Systems with Applications profile →

Peers

Gianluca Bontempi

ONCOL

PRM

Mike West United States

Weidong Liu China

Jianqiang Li China

Hua Liu China

Lifeng Wang China

Hemant Ishwaran United States

Yvan Saeys Belgium

Ilya Shmulevich United States

George Michailidis United States

Quan Zou China

Mike West United States

Gianluca Bontempi

4.9k ×1.0

4.2k ×1.5

1.7k ×0.6

1.4k ×0.8

ONCOL

562 ×0.4

PRM

Citations per year, relative to Gianluca Bontempi Gianluca Bontempi (= 1×) peers Mike West

Countries citing papers authored by Gianluca Bontempi

Since Specialization

Citations

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

Fields of papers citing papers by Gianluca Bontempi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluca Bontempi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cebolla, Ana Maria, et al.. (2025). Linear non-conservative unsupervised domain adaptation for cross-subject EMG gesture recognition. Biomedical Signal Processing and Control. 111. 108283–108283.

Dettori, Stefano, et al.. (2024). Machine Learning models to forecast defects occurrence on foundry products. IFAC-PapersOnLine. 58(22). 113–118.

Abelló, Alberto, et al.. (2024). On many-objective feature selection and the need for interpretability. Expert Systems with Applications. 267. 126191–126191. 1 indexed citations

Caelen, Olivier, et al.. (2023). An Adversary Model of Fraudsters’ Behavior to Improve Oversampling in Credit Card Fraud Detection. IEEE Access. 11. 136666–136679. 5 indexed citations

Coelho, Leonardo Bertolucci, et al.. (2023). Probing the randomness of the local current distributions of 316 L stainless steel corrosion in NaCl solution. Corrosion Science. 217. 111104–111104. 23 indexed citations

Coelho, Leonardo Bertolucci, et al.. (2023). Estimating pitting descriptors of 316 L stainless steel by machine learning and statistical analysis. npj Materials Degradation. 7(1). 17 indexed citations

Cornelis, Bruno, et al.. (2023). Traffic Simulation with Incomplete Data: the Case of Brussels. 15–24. 4 indexed citations

D’Alessio, Giuseppe, et al.. (2023). Extraction and analysis of flow features in planar synthetic jets using different machine learning techniques. Physics of Fluids. 35(9). 6 indexed citations

De, Fabrizio, et al.. (2021). Does AutoML Outperform Naive Forecasting?. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 36–36. 12 indexed citations

10.

Borgne, Yann‐Aël Le, et al.. (2020). MOBI-AID: A Big Data Platform for Real-Time Analysis of On Board Unit Data.. EDBT/ICDT Workshops. 1 indexed citations

11.

Jeschke, Jana, Martin Bizet, Christine Desmedt, et al.. (2017). DNA methylation–based immune response signature improves patient diagnosis in multiple cancers. Journal of Clinical Investigation. 127(8). 3090–3102. 110 indexed citations

12.

Pozzolo, Andrea Dal, Giacomo Boracchi, Olivier Caelen, Cesare Alippi, & Gianluca Bontempi. (2017). Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy. IEEE Transactions on Neural Networks and Learning Systems. 29(8). 3784–3797. 338 indexed citations breakdown →

13.

Haibe‐Kains, Benjamin, Catharina Olsen, Gianluca Bontempi, et al.. (2011). Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks. Nucleic Acids Research. 40(D1). D866–D875. 21 indexed citations

14.

Bontempi, Gianluca, et al.. (2008). Distributed Principal Component Analysis for Wireless Sensor Networks. SHILAP Revista de lepidopterología. 40 indexed citations

15.

Borgne, Yann‐Aël Le, et al.. (2008). A modular framework for user localization and tracking using machine learning techniques in wireless sensor networks. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 1 indexed citations

16.

Sotiriou, Christos, Benjamin Haibe‐Kains, Christine Desmedt, et al.. (2006). Comprehensive molecular analysis of several prognostic signatures using molecular indices related to hallmarks of breast cancer: proliferation index appears to be the most significant component of all signatures. Breast Cancer Research and Treatment. 100. 2 indexed citations

17.

Bontempi, Gianluca. (2005). Structural feature selection for wrapper methods. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 6 indexed citations

18.

Meyer, Patrick, Olivier Caelen, & Gianluca Bontempi. (2005). Speeding up Feature Selection by Using an Information Theoretic Bound.. Open Repository and Bibliography (University of Liège). 166–173. 1 indexed citations

19.

Bontempi, Gianluca & Mauro Birattari. (2000). A multi-steap ahead prediction method based on local dynamic properties.. The European Symposium on Artificial Neural Networks. 36(1). 311–316. 1 indexed citations

20.

Bontempi, Gianluca, Hugues Bersini, Abhay B. Bulsari, & Sanna Kallio. (1997). Identification of a sensor model with hybrid neuro-fuzzy methods. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 325–328. 2 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