Giuliano Armano
- Artificial Intelligence top 5%
- AI-based Problem Solving and Planning 9
- Advanced Text Analysis Techniques 8
- Machine Learning and Data Classification 8
- Imbalanced Data Classification Techniques 7
- Signal Processing top 10%
- Health Information Management top 10%
- Information Systems top 5%
- Web Data Mining and Analysis 9
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- Machine Learning in Bioinformatics 10
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- Face and Expression Recognition 7
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- Phonocardiography and Auscultation Techniques 7
- Co-authors
- Andréa MurruMichele MarchesiEloisa VargiuMarco Alberto JavaroneAndrea ManconiLuciano MilanesiAmir Mohammad AmiriAlessandro Orro
- Journals
- Information Sciences (3 papers)BMC Bioinformatics (3 papers)IEEE Transactions on NanoBioscience (2 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Giuliano Armano
89 papers receiving 884 citations
Peers
Comparison fields: 5 of 131
- Management Science and Operations Research 227
- Artificial Intelligence 415
- Signal Processing 62
- Health Information Management 25
- Information Systems 120
Countries citing papers authored by Giuliano Armano
This map shows the geographic impact of Giuliano Armano'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 Giuliano Armano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuliano Armano more than expected).
Fields of papers citing papers by Giuliano Armano
This network shows the impact of papers produced by Giuliano Armano. 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 Giuliano Armano. The network helps show where Giuliano Armano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giuliano Armano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 8 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 2 | |
| 4 | 2020 | 3 | |
| 5 | NewsVallum: Semantics-Aware Text and Image Processing for Fake News Detection system. | 2018 | 1 |
| 6 | Analysis of Term Roles Along Taxonomy Nodes by Adopting Discriminant and Characteristic Capabilities. | 2015 | 0 |
| 7 | 2015 | 7 | |
| 8 | 2014 | 4 | |
| 9 | 2012 | 1 | |
| 10 | A Novel Recommender System Inspired by Contextual Advertising Approach | 2010 | 0 |
| 11 | Profiling Users to Perform Contextual Advertising | 2009 | 1 |
| 12 | 2009 | 2 | |
| 13 | 2007 | 1 | |
| 14 | 2006 | 63 | |
| 15 | 2005 | 11 | |
| 16 | 2004 | 2 | |
| 17 | Generating Abstractions from Static Domain Analysis. | 2003 | 2 |
| 18 | A parametric hierarchical planner for experimenting abstraction techniques | 2003 | 8 |
| 19 | Experimenting the Performance of Abstraction Mechanisms Through a Parametric Hierarchical Planner | 2003 | 5 |
| 20 | Region Growing and Merging Techniques for Accurate Image Segmentation | 1989 | 4 |
About Giuliano Armano
Giuliano Armano is a scholar working on Artificial Intelligence, Information Systems and Software, having authored 94 papers that have together received 942 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (10 papers), AI-based Problem Solving and Planning (9 papers), Web Data Mining and Analysis (9 papers), Advanced Text Analysis Techniques (8 papers), Machine Learning and Data Classification (8 papers), Face and Expression Recognition (7 papers), Imbalanced Data Classification Techniques (7 papers) and Phonocardiography and Auscultation Techniques (7 papers). The work is most often cited by research in Management Science and Operations Research (227 citations), Artificial Intelligence (415 citations) and Signal Processing (62 citations). Giuliano Armano has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Andréa Murru, Michele Marchesi, Eloisa Vargiu, Marco Alberto Javarone, Andrea Manconi, Luciano Milanesi, Amir Mohammad Amiri, Alessandro Orro, Fabio Roli and Matteo Gnocchi. Their work appears in journals such as Information Sciences, BMC Bioinformatics, IEEE Transactions on NanoBioscience, Energies and Expert Systems with Applications.
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.