Gabriela Ferraro

521 total citations
32 papers, 255 citations indexed

About

Gabriela Ferraro is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Gabriela Ferraro has authored 32 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. Recurrent topics in Gabriela Ferraro's work include Natural Language Processing Techniques (18 papers), Topic Modeling (14 papers) and Semantic Web and Ontologies (5 papers). Gabriela Ferraro is often cited by papers focused on Natural Language Processing Techniques (18 papers), Topic Modeling (14 papers) and Semantic Web and Ontologies (5 papers). Gabriela Ferraro collaborates with scholars based in Australia, Spain and France. Gabriela Ferraro's co-authors include Leo Wanner, Hanna Suominen, Leif Hanlen, Mohamed Reda Bouadjenek, Timothy Baldwin, Scott Sanner, Lizhen Qu, Marian-Andrei Rizoiu, Nadjet Bouayad‐Agha and Pol Moreno and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medical Internet Research and Knowledge-Based Systems.

In The Last Decade

Gabriela Ferraro

32 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gabriela Ferraro Australia	10	169	35	35	24	23	32	255
Paul Michel United States	8	135 0.8×	40 1.1×	11 0.3×	6 0.3×	5 0.2×	23	217
Tony Russell‐Rose United Kingdom	7	108 0.6×	24 0.7×	4 0.1×	67 2.8×	9 0.4×	29	248
John P. Lalor United States	10	141 0.8×	23 0.7×		38 1.6×	26 1.1×	25	243
Nadin Kökciyan United Kingdom	10	233 1.4×	20 0.6×	2 0.1×	58 2.4×	15 0.7×	41	327
Arnaud Gaudinat Switzerland	11	131 0.8×	89 2.5×	2 0.1×	46 1.9×	114 5.0×	36	287
Beverley Townsend South Africa	11	33 0.2×	47 1.3×	8 0.2×	16 0.7×	18 0.8×	29	229
Dixie B. Baker United States	10	87 0.5×	36 1.0×	2 0.1×	37 1.5×	39 1.7×	21	265
Aljoscha Burchardt Germany	11	327 1.9×	24 0.7×		19 0.8×	12 0.5×	27	383
Dov Fox United States	7	116 0.7×	43 1.2×	2 0.1×	24 1.0×	11 0.5×	48	272
Marta Rosecler Bez Brazil	6	39 0.2×	22 0.6×		30 1.3×	11 0.5×	32	184

Countries citing papers authored by Gabriela Ferraro

Since Specialization

Citations

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

Fields of papers citing papers by Gabriela Ferraro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriela Ferraro

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriela Ferraro. A scholar is included among the top collaborators of Gabriela Ferraro 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 Gabriela Ferraro. Gabriela Ferraro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ferraro, Gabriela, et al.. (2023). Transfer learning for hate speech detection in social media. Journal of Computational Social Science. 6(2). 1081–1101. 23 indexed citations

Ferraro, Gabriela & Ho-Pun Lam. (2021). NLP Techniques for Normative Mining.. 8. 941–974. 1 indexed citations

Harandi, Mehrtash, et al.. (2021). Plastic and Stable Gated Classifiers for Continual Learning. 3548–3553. 2 indexed citations

Ferraro, Gabriela, et al.. (2020). Pruning and repopulating a lexical taxonomy: experiments in Spanish, English and French. SHILAP Revista de lepidopterología. 30(1). 376–394. 4 indexed citations

Harandi, Mehrtash, et al.. (2020). An Input Residual Connection for Simplifying Gated Recurrent Neural Networks. ANU Open Research (Australian National University). 1–8. 3 indexed citations

Seguí, Francesc López, Sandra Walsh, Óscar Solans, et al.. (2020). Teleconsultation Between Patients and Health Care Professionals in the Catalan Primary Care Service: Message Annotation Analysis in a Retrospective Cross-Sectional Study. Journal of Medical Internet Research. 22(9). e19149–e19149. 24 indexed citations

Harandi, Mehrtash, et al.. (2020). M²SGD: Learning to Learn Important Weights. 269. 957–964. 1 indexed citations

Ferraro, Gabriela, et al.. (2019). Domain Adaptation for Low-Resource Neural Semantic Parsing. 87–93. 2 indexed citations

Geva, Shlomo, et al.. (2018). Linking Patents to Knowledge Sources. 25. 1–4. 1 indexed citations

10.

Meireles, Magali Rezende Gouvêa, Gabriela Ferraro, & Shlomo Geva. (2016). Classification and information management for patent collections: A literature review and some research questions. Science & Engineering Faculty. 21. 3 indexed citations

11.

Wanner, Leo, Gabriela Ferraro, & Pol Moreno. (2016). Towards Distributional Semantics-Based Classification of Collocations for Collocation Dictionaries. International Journal of Lexicography. ecw002–ecw002. 9 indexed citations

12.

Suominen, Hanna, et al.. (2015). Benchmarking Clinical Speech Recognition and Information Extraction: New Data, Methods, and Evaluations. JMIR Medical Informatics. 3(2). e19–e19. 35 indexed citations

13.

Sanner, Scott, et al.. (2015). On Term Selection Techniques for Patent Prior Art Search. HAL (Le Centre pour la Communication Scientifique Directe). 803–806. 15 indexed citations

14.

Ferraro, Gabriela, et al.. (2014). Segmentation of patent claims for improving their readability. 10 indexed citations

15.

Rello, Luz, et al.. (2012). A First Approach to the Automatic Detection of Zero Subjects and Impersonal Constructions in Portuguese. Procesamiento del lenguaje natural. 49(49). 163–170. 2 indexed citations

16.

Mille, Simon, et al.. (2012). How Does the Granularity of an Annotation Scheme Influence Dependency Parsing Performance. International Conference on Computational Linguistics. 839–852. 9 indexed citations

17.

Ferraro, Gabriela & Leo Wanner. (2012). Labeling semantically motivated clusters of verbal relations. Procesamiento del lenguaje natural. 49(49). 129–138. 1 indexed citations

18.

Rello, Luz, et al.. (2011). Error Analysis for the Improvement of Subject Ellipsis Detection. Procesamiento del lenguaje natural. 47(47). 223–230. 1 indexed citations

19.

Ferraro, Gabriela, et al.. (2011). Collocations: a challenge in computer assisted language learning. 69–79. 6 indexed citations

20.

Bouayad‐Agha, Nadjet, et al.. (2009). Simplification of Patent Claim Sentences for Their Paraphrasing and Summarization. The Florida AI Research Society. 9 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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