Giuliano Armano

1.6k citations
94 papers · 942 indexed · h-index 15
Topics
Machine Learning in Bioinformatics (10 papers)AI-based Problem Solving and Planning (9 papers)Web Data Mining and Analysis (9 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE

In The Last Decade

Giuliano Armano

89 papers receiving 884 citations

Peers

Giuliano Armano
Comparison fields: 5 of 131
  • Artificial Intelligence 415
  • Management Science and Operations Research 227
  • Molecular Biology 146
  • Economics and Econometrics 122
  • Information Systems 120
Replace Keli Xiao with:
Keli Xiao United States
Fabio Stella Italy
Rajashree Dash India
Dawei Cheng China
Soumya Sen India
Parimala Thulasiraman Canada
Yukun Ma Singapore
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Jie Cheng United States
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Citations per field
00.5×10.4×
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Citations per year

Countries citing papers authored by Giuliano Armano

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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

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) and Web Data Mining and Analysis (9 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 SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

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.

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