Emanuele Bugliarello

49 total papers · 460 total citations
15 papers, 180 citations indexed

About

Emanuele Bugliarello is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Emanuele Bugliarello has authored 15 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Emanuele Bugliarello's work include Multimodal Machine Learning Applications (9 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Natural Language Processing Techniques (6 papers). Emanuele Bugliarello is often cited by papers focused on Multimodal Machine Learning Applications (9 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Natural Language Processing Techniques (6 papers). Emanuele Bugliarello collaborates with scholars based in Denmark, United Kingdom and Italy. Emanuele Bugliarello's co-authors include Desmond Elliott, Stella Frank, Fangyu Liu, Edoardo Maria Ponti, Siva Reddy, Nigel Collier, Anders Søgaard, Ilias Chalkidis, Miryam de Lhoneux and Daniel Hershcovich and has published in prestigious journals such as Research at the University of Copenhagen (University of Copenhagen), arXiv (Cornell University) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Emanuele Bugliarello

13 papers receiving 173 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Emanuele Bugliarello 143 84 10 6 5 15 180
Tong Niu 197 1.4× 43 0.5× 10 1.0× 6 1.0× 2 0.4× 14 217
Asahi Ushio 114 0.8× 45 0.5× 21 2.1× 5 0.8× 8 1.6× 16 154
Qihuang Zhong 216 1.5× 60 0.7× 7 0.7× 7 1.2× 2 0.4× 17 277
Shehzaad Dhuliawala 153 1.1× 28 0.3× 8 0.8× 3 0.5× 7 1.4× 14 184
Zheng Yong 219 1.5× 38 0.5× 5 0.5× 2 0.3× 3 0.6× 10 251
Kawin Ethayarajh 200 1.4× 26 0.3× 18 1.8× 7 1.2× 3 0.6× 12 244
Yan Wang 166 1.2× 58 0.7× 6 0.6× 7 1.2× 14 213
Eric Nalisnick 172 1.2× 41 0.5× 10 1.0× 3 0.5× 2 0.4× 19 213
Fuqing Zhu 161 1.1× 53 0.6× 11 1.1× 9 1.5× 3 0.6× 17 243
Suchin Gururangan 210 1.5× 43 0.5× 5 0.5× 4 0.7× 4 0.8× 12 264

Countries citing papers authored by Emanuele Bugliarello

Since Specialization
Citations

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

Fields of papers citing papers by Emanuele Bugliarello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuele Bugliarello

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

All Works

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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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