Giuliano Armano
About
In The Last Decade
Giuliano Armano
89 papers receiving 884 citations
Peers
Comparison fields: 5 of 131
- Artificial Intelligence 415
- Management Science and Operations Research 227
- Molecular Biology 146
- Economics and Econometrics 122
- 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 of co-authors of Giuliano Armano
This figure shows the co-authorship network connecting the top 25 collaborators of Giuliano Armano. A scholar is included among the top collaborators of Giuliano Armano 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 Giuliano Armano. Giuliano Armano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | NewsVallum: Semantics-Aware Text and Image Processing for Fake News Detection system. | 1 |
| 6 | Analysis of Term Roles Along Taxonomy Nodes by Adopting Discriminant and Characteristic Capabilities. | 0 |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | A Novel Recommender System Inspired by Contextual Advertising Approach | 0 |
| 11 | Profiling Users to Perform Contextual Advertising | 1 |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 63 | |
| 15 | 11 | |
| 16 | 2 | |
| 17 | Generating Abstractions from Static Domain Analysis. | 2 |
| 18 | A parametric hierarchical planner for experimenting abstraction techniques | 8 |
| 19 | Experimenting the Performance of Abstraction Mechanisms Through a Parametric Hierarchical Planner | 5 |
| 20 | Region Growing and Merging Techniques for Accurate Image Segmentation | 4 |
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.