Felice Dell’Orletta⋄

3.0k total citations
100 papers, 1.4k citations indexed

About

Felice Dell’Orletta⋄ is a scholar working on Artificial Intelligence, Information Systems and Language and Linguistics. According to data from OpenAlex, Felice Dell’Orletta⋄ has authored 100 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Artificial Intelligence, 9 papers in Information Systems and 6 papers in Language and Linguistics. Recurrent topics in Felice Dell’Orletta⋄'s work include Natural Language Processing Techniques (57 papers), Topic Modeling (40 papers) and Text Readability and Simplification (29 papers). Felice Dell’Orletta⋄ is often cited by papers focused on Natural Language Processing Techniques (57 papers), Topic Modeling (40 papers) and Text Readability and Simplification (29 papers). Felice Dell’Orletta⋄ collaborates with scholars based in Italy, United States and Netherlands. Felice Dell’Orletta⋄'s co-authors include Andrea Cimino, Giulia Venturi⋄, Simonetta Montemagni⋄, Maurizio Tesconi, Fabio Del Vigna, Marinella Petrocchi, Giuseppe Attardi, Gualtiero Fantoni, Dominique Brunato⋄ and Stefano Cresci and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Frontiers in Psychology.

In The Last Decade

Felice Dell’Orletta⋄

89 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Felice Dell’Orletta⋄ Italy 20 1.0k 243 117 100 74 100 1.4k
Mihai Dascălu Romania 19 627 0.6× 292 1.2× 169 1.4× 105 1.1× 49 0.7× 161 1.4k
Alice Oh South Korea 20 1.2k 1.2× 323 1.3× 286 2.4× 126 1.3× 97 1.3× 98 1.8k
Belén Ruíz‐Mezcua Spain 17 229 0.2× 219 0.9× 127 1.1× 35 0.3× 68 0.9× 73 789
Grigori Sidorov Mexico 19 1.2k 1.2× 451 1.9× 239 2.0× 58 0.6× 101 1.4× 171 1.6k
Ralf Krestel Germany 16 767 0.7× 397 1.6× 101 0.9× 55 0.6× 120 1.6× 85 1.1k
Chenhao Tan United States 22 847 0.8× 242 1.0× 239 2.0× 157 1.6× 108 1.5× 90 1.5k
Jihie Kim United States 19 719 0.7× 464 1.9× 50 0.4× 46 0.5× 80 1.1× 100 1.4k
Kôiti Hasida Japan 17 609 0.6× 293 1.2× 94 0.8× 36 0.4× 130 1.8× 76 964
Matthew Lease United States 27 1.3k 1.3× 762 3.1× 228 1.9× 82 0.8× 151 2.0× 106 2.3k
Alexandra I. Cristea United Kingdom 21 676 0.7× 466 1.9× 379 3.2× 53 0.5× 111 1.5× 226 1.9k

Countries citing papers authored by Felice Dell’Orletta⋄

Since Specialization
Citations

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

Fields of papers citing papers by Felice Dell’Orletta⋄

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felice Dell’Orletta⋄. 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 Felice Dell’Orletta⋄. The network helps show where Felice Dell’Orletta⋄ may publish in the future.

Co-authorship network of co-authors of Felice Dell’Orletta⋄

This figure shows the co-authorship network connecting the top 25 collaborators of Felice Dell’Orletta⋄. A scholar is included among the top collaborators of Felice Dell’Orletta⋄ 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 Felice Dell’Orletta⋄. Felice Dell’Orletta⋄ 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
1.
Dell’Orletta⋄, Felice, et al.. (2024). Evaluating Large Language Models via Linguistic Profiling. 2835–2848.
2.
Dell’Orletta⋄, Felice, et al.. (2024). T-FREX: A Transformer-based Feature Extraction Method from Mobile App Reviews. QRU Quaderns de Recerca en Urbanisme. 227–238. 9 indexed citations
3.
Dell’Orletta⋄, Felice, et al.. (2024). Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models. University of Groningen research database (University of Groningen / Centre for Information Technology). 11892–11907. 1 indexed citations
4.
Dell’Orletta⋄, Felice, et al.. (2023). A text style transfer system for reducing the physician–patient expertise gap: An analysis with automatic and human evaluations. Expert Systems with Applications. 233. 120874–120874. 3 indexed citations
5.
Moret‐Tatay, Carmen, et al.. (2023). Analysing Deception in Witness Memory through Linguistic Styles in Spontaneous Language. Brain Sciences. 13(2). 317–317. 4 indexed citations
6.
Rogers, Anna, et al.. (2022). Outlier Dimensions that Disrupt Transformers are Driven by Frequency. ISTI Open Portal. 1286–1304. 3 indexed citations
7.
Brunato⋄, Dominique, et al.. (2022). Probing Linguistic Knowledge in Italian Neural Language Models across Language Varieties. SHILAP Revista de lepidopterología. 8(1). 2 indexed citations
8.
Cimino, Andrea, et al.. (2021). Explainable Sentiment Analysis: A Hierarchical Transformer-Based Extractive Summarization Approach. Electronics. 10(18). 2195–2195. 20 indexed citations
9.
Dell’Orletta⋄, Felice, et al.. (2021). How Do BERT Embeddings Organize Linguistic Knowledge?. ISTI Open Portal. 9 indexed citations
10.
Bacco, Manlio, Gianluca Brunori, Felice Dell’Orletta⋄, & Alessio Ferrari. (2020). Using NLP to Support Terminology Extraction and Domain Scoping: Report on the H2020 DESIRA Project.. 2 indexed citations
11.
Dell’Orletta⋄, Felice, et al.. (2020). Invisible to People but not to Machines : Evaluation of Style-aware Headline Generation in Absence of Reliable Human Judgment. Language Resources and Evaluation. 6709–6717. 2 indexed citations
12.
Dell’Orletta⋄, Felice, et al.. (2018). Universal Dependencies and Quantitative Typological Trends. A Case Study on Word Order. Language Resources and Evaluation. 2 indexed citations
13.
Dell’Orletta⋄, Felice, et al.. (2017). Dangerous Relations in Dependency Treebanks. IEEE Transactions on Learning Technologies. 201–210. 1 indexed citations
14.
Dell’Orletta⋄, Felice, et al.. (2016). CItA: an L1 Italian Learners Corpus to Study the Development of Writing Competence.. Language Resources and Evaluation. 88–95. 5 indexed citations
15.
Apreda, Riccardo, Andrea Bonaccorsi, Felice Dell’Orletta⋄, & Gualtiero Fantoni. (2016). Functional technology foresight. A novel methodology to identify emerging technologies. European Journal of Futures Research. 4(1). 9 indexed citations
16.
Cimino, Andrea, Felice Dell’Orletta⋄, Giulia Venturi⋄, & Simonetta Montemagni⋄. (2013). Linguistic Profiling based on General--purpose Features and Native Language Identification. CNR ExploRA. 207–215. 10 indexed citations
17.
Dell’Orletta⋄, Felice, Giulia Venturi⋄, & Simonetta Montemagni⋄. (2011). ULISSE: an Unsupervised Algorithm for Detecting Reliable Dependency Parses. CNR ExploRA. 115–124. 7 indexed citations
18.
Bonin, Francesca, Felice Dell’Orletta⋄, Giulia Venturi⋄, & Simonetta Montemagni⋄. (2010). Singling out Legal Knowledge from World Knowledge. An NLP-based approach. 217–229. 2 indexed citations
19.
Bonin, Francesca, Felice Dell’Orletta⋄, Giulia Venturi⋄, & Simonetta Montemagni⋄. (2010). Contrastive Filtering of Domain-Specific Multi-Word Terms from Different Types of Corpora. International Conference on Computational Linguistics. 77–80. 6 indexed citations
20.
Bonin, Francesca, Felice Dell’Orletta⋄, Simonetta Montemagni⋄, & Giulia Venturi⋄. (2010). A Contrastive Approach to Multi-word Extraction from Domain-specific Corpora. Language Resources and Evaluation. 13 indexed citations

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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