Gianluca Bontempi
About
In The Last Decade
Gianluca Bontempi
193 papers receiving 11.6k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Molecular Biology 5.1k
- Artificial Intelligence 2.7k
- Cancer Research 2.7k
- Oncology 1.8k
- Pulmonary and Respiratory Medicine 1.3k
Countries citing papers authored by Gianluca Bontempi
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 23 | |
| 6 | 17 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 12 | |
| 10 | MOBI-AID: A Big Data Platform for Real-Time Analysis of On Board Unit Data. | 1 |
| 11 | 110 | |
| 12 | Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy breakdown → | 338 |
| 13 | 21 | |
| 14 | Distributed Principal Component Analysis for Wireless Sensor Networks | 40 |
| 15 | A modular framework for user localization and tracking using machine learning techniques in wireless sensor networks | 1 |
| 16 | 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 | 2 |
| 17 | Structural feature selection for wrapper methods | 6 |
| 18 | Speeding up Feature Selection by Using an Information Theoretic Bound. | 1 |
| 19 | 1 | |
| 20 | Identification of a sensor model with hybrid neuro-fuzzy methods | 2 |
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.