Claudio Giuliano

1.2k total citations
38 papers, 643 citations indexed

About

Claudio Giuliano is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Claudio Giuliano has authored 38 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 7 papers in Information Systems and 4 papers in Communication. Recurrent topics in Claudio Giuliano's work include Topic Modeling (31 papers), Natural Language Processing Techniques (24 papers) and Semantic Web and Ontologies (6 papers). Claudio Giuliano is often cited by papers focused on Topic Modeling (31 papers), Natural Language Processing Techniques (24 papers) and Semantic Web and Ontologies (6 papers). Claudio Giuliano collaborates with scholars based in Italy, United States and Germany. Claudio Giuliano's co-authors include Alberto Lavelli, Lorenza Romano, Alfio Gliozzo, Carlo Strapparava, Sara Tonelli, Kateryna Tymoshenko, Alessio Palmero Aprosio, Francesco Corcoglioniti, Daniele Pighin and Chris Biemann and has published in prestigious journals such as Artificial Intelligence, Computational Linguistics and Language Resources and Evaluation.

In The Last Decade

Claudio Giuliano

37 papers receiving 555 citations

Peers

Claudio Giuliano
Comparison fields: 5 of 51
  • Artificial Intelligence 563
  • Molecular Biology 204
  • Information Systems 98
  • Management Science and Operations Research 40
  • Computational Theory and Mathematics 32
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Citations per field, relative to Claudio Giuliano
Claudio Giuliano · 1×
Citations per year, relative to Claudio Giuliano
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Countries citing papers authored by Claudio Giuliano

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Giuliano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Giuliano

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Giuliano. A scholar is included among the top collaborators of Claudio Giuliano 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 Claudio Giuliano. Claudio Giuliano 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
# Work Indexed citations
1 13
2 0
3 6
4 4
5
Concealing Interests of Passive Users in Social Media.
5
6 9
7
Outsourcing FrameNet to the Crowd
20
8 8
9
Semantic network-driven news recommender systems: a celebrity Gossip use case
2
10
Extending English ACE 2005 Corpus Annotation with Ground-truth Links to Wikipedia
20
11
A semi-supervised approach to question classification ∗
7
12 16
13
XMedia: Web People Search by Clustering with Machinely Learned Similarity Measures
6
14 15
15
Unsupervised Part of Speech Tagging Supporting Supervised Methods
16
16 6
17 23
18
Exploiting Shallow Linguistic Information for Relation Extraction from Biomedical Literature
197
19
Pattern abstraction and term similarity for Word Sense Disambiguation: IRST at Senseval-3
32
20
A Critical Survey of the Methodology for IE Evaluation
11

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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