Antonio Valerio Miceli Barone

1.4k total citations
22 papers, 642 citations indexed

About

Antonio Valerio Miceli Barone is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Antonio Valerio Miceli Barone has authored 22 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Antonio Valerio Miceli Barone's work include Topic Modeling (19 papers), Natural Language Processing Techniques (17 papers) and Multimodal Machine Learning Applications (5 papers). Antonio Valerio Miceli Barone is often cited by papers focused on Topic Modeling (19 papers), Natural Language Processing Techniques (17 papers) and Multimodal Machine Learning Applications (5 papers). Antonio Valerio Miceli Barone collaborates with scholars based in United Kingdom, Italy and Netherlands. Antonio Valerio Miceli Barone's co-authors include Rico Sennrich, Barry Haddow, Alexandra Birch, Kenneth Heafield, Anna Currey, Jindřich Helcl, Maria Nădejde, Samuel Läubli, Kyunghyun Cho and Marcin Junczys-Dowmunt and has published in prestigious journals such as Computational Linguistics, Edinburgh Research Explorer (University of Edinburgh) and Edinburgh Research Explorer.

In The Last Decade

Antonio Valerio Miceli Barone

22 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Antonio Valerio Miceli Barone United Kingdom	10	601	235	68	23	17	22	642
Ulrich Germann United Kingdom	15	659 1.1×	126 0.5×	51 0.8×	30 1.3×	36 2.1×	39	696
Marcin Junczys-Dowmunt United States	13	786 1.3×	201 0.9×	54 0.8×	34 1.5×	29 1.7×	39	822
Weihua Luo China	14	462 0.8×	187 0.8×	37 0.5×	22 1.0×	8 0.5×	44	505
Hany Hassan United States	14	568 0.9×	121 0.5×	49 0.7×	40 1.7×	19 1.1×	39	596
Taro Watanabe Japan	19	1.0k 1.7×	168 0.7×	72 1.1×	70 3.0×	16 0.9×	97	1.1k
Rabih Zbib United States	8	508 0.8×	87 0.4×	36 0.5×	26 1.1×	22 1.3×	18	545
Matthias Huck Germany	13	892 1.5×	188 0.8×	44 0.6×	61 2.7×	26 1.5×	54	928
Ferhan Türe United States	11	440 0.7×	91 0.4×	65 1.0×	28 1.2×	16 0.9×	30	512
Penelope Sibun United States	5	444 0.7×	65 0.3×	54 0.8×	46 2.0×	28 1.6×	8	494

Countries citing papers authored by Antonio Valerio Miceli Barone

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Valerio Miceli Barone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Valerio Miceli Barone. 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 Antonio Valerio Miceli Barone. The network helps show where Antonio Valerio Miceli Barone may publish in the future.

Co-authorship network of co-authors of Antonio Valerio Miceli Barone

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Valerio Miceli Barone. A scholar is included among the top collaborators of Antonio Valerio Miceli Barone 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 Antonio Valerio Miceli Barone. Antonio Valerio Miceli Barone 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

Barone, Antonio Valerio Miceli, et al.. (2023). DISCOSQA: A Knowledge Base Question Answering System for Space Debris based on Program Induction. Edinburgh Research Explorer. 487–499. 2 indexed citations

Barone, Antonio Valerio Miceli, et al.. (2023). The Larger they are, the Harder they Fail: Language Models do not Recognize Identifier Swaps in Python. 272–292. 8 indexed citations

Haddow, Barry, Rachel Bawden, Antonio Valerio Miceli Barone, Jindřich Helcl, & Alexandra Birch. (2022). Survey of Low-Resource Machine Translation. Zenodo (CERN European Organization for Nuclear Research). 12 indexed citations

Haddow, Barry, Rachel Bawden, Antonio Valerio Miceli Barone, Jindřich Helcl, & Alexandra Birch. (2022). Survey of Low-Resource Machine Translation. Computational Linguistics. 48(3). 673–732. 48 indexed citations

Birch, Alexandra, Barry Haddow, Antonio Valerio Miceli Barone, et al.. (2019). Global Under-Resourced Media Translation (GoURMET). Edinburgh Research Explorer. 122–122. 3 indexed citations

Williams, Philip, Roman Grundkiewicz, Rico Sennrich, et al.. (2019). Samsung and University of Edinburgh's System for the IWSLT 2019. Edinburgh Research Explorer (University of Edinburgh). 4 indexed citations

Barone, Antonio Valerio Miceli, Rico Sennrich, Menno van Zaanen, et al.. (2018). Improving Machine Translation of Educational Content via Crowdsourcing. Arrow@dit (Dublin Institute of Technology). 2 indexed citations

Haddow, Barry, Nikolay Bogoychev, Denis Emelin, et al.. (2018). The University of Edinburgh’s Submissions to the WMT18 News Translation Task. 399–409. 7 indexed citations

Barone, Antonio Valerio Miceli. (2018). Low-rank passthrough neural networks. Edinburgh Research Explorer. 77–86. 3 indexed citations

10.

Barone, Antonio Valerio Miceli & Rico Sennrich. (2017). A Parallel Corpus of Python Functions and Documentation Strings for Automated Code Documentation and Code Generation. Edinburgh Research Explorer. 2. 314–319. 44 indexed citations

11.

Sennrich, Rico, Antonio Valerio Miceli Barone, Joss Moorkens, et al.. (2017). TraMOOC - Translation for Massive Open Online Courses: Recent Developments in Machine Translation. Data Archiving and Networked Services (DANS). 1 indexed citations

12.

Sennrich, Rico, Alexandra Birch, Anna Currey, et al.. (2017). The University of Edinburgh's Neural MT Systems for WMT17. Edinburgh Research Explorer (University of Edinburgh). 389–399. 88 indexed citations

13.

Currey, Anna, Antonio Valerio Miceli Barone, & Kenneth Heafield. (2017). Copied Monolingual Data Improves Low-Resource Neural Machine Translation. Edinburgh Research Explorer (University of Edinburgh). 97 indexed citations

14.

Barone, Antonio Valerio Miceli, Jindřich Helcl, Rico Sennrich, Barry Haddow, & Alexandra Birch. (2017). . Edinburgh Research Explorer. 42 indexed citations

15.

Barone, Antonio Valerio Miceli, et al.. (2017). . Edinburgh Research Explorer (University of Edinburgh). 47 indexed citations

16.

Barone, Antonio Valerio Miceli. (2016). Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders. Edinburgh Research Explorer. 121–126. 40 indexed citations

17.

Barone, Antonio Valerio Miceli & Giuseppe Attardi. (2015). Non-projective Dependency-based Pre-Reordering with Recurrent Neural Network for Machine Translation. 846–856. 4 indexed citations

18.

Barone, Antonio Valerio Miceli & Giuseppe Attardi. (2015). Non-projective Dependency-based Pre-Reordering with Recurrent Neural Network for Machine Translation. CINECA IRIS Institutial research information system (University of Pisa). 10–20. 5 indexed citations

19.

Barone, Antonio Valerio Miceli & Giuseppe Attardi. (2013). Pre-Reordering for Machine Translation Using Transition-Based Walks on Dependency Parse Trees. Workshop on Statistical Machine Translation. 164–169. 11 indexed citations

20.

Barone, Antonio Valerio Miceli & Giuseppe Attardi. (2012). Dependency Parsing Domain Adaptation using Transductive SVM. 55–59. 3 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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