Arthur Bražinskas
- Artificial Intelligence
- Information Systems
- Computer Vision and Pattern Recognition
- Communication
- Computer Networks and Communications
- Co-authors
- Ivan TitovMirella LapataRamesh NallapatiMarkus DreyerMohit BansalBing LiuXiaolan WangXavier García
- Topics
- Topic Modeling (5 papers)Sentiment Analysis and Opinion Mining (3 papers)Natural Language Processing Techniques (3 papers)
- Journals
- arXiv (Cornell University)PolyPublie (École Polytechnique de Montréal)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Arthur Bražinskas
6 papers receiving 36 citations
Peers
Comparison fields: 5 of 12
- Artificial Intelligence 34
- Information Systems 6
- Computer Vision and Pattern Recognition 3
- Communication 1
- Computer Networks and Communications 1
Countries citing papers authored by Arthur Bražinskas
This map shows the geographic impact of Arthur Bražinskas'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 Arthur Bražinskas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur Bražinskas more than expected).
Fields of papers citing papers by Arthur Bražinskas
This network shows the impact of papers produced by Arthur Bražinskas. 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 Arthur Bražinskas. The network helps show where Arthur Bražinskas may publish in the future.
Co-authorship network of co-authors of Arthur Bražinskas
This figure shows the co-authorship network connecting the top 25 collaborators of Arthur Bražinskas. A scholar is included among the top collaborators of Arthur Bražinskas 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 Arthur Bražinskas. Arthur Bražinskas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 16 | |
| 6 | Unsupervised Multi-Document Opinion Summarization as Copycat-Review Generation. | 4 |
About Arthur Bražinskas
Arthur Bražinskas is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 37 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Sentiment Analysis and Opinion Mining (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (34 citations), Information Systems (6 citations) and Computer Vision and Pattern Recognition (3 citations). Arthur Bražinskas has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Ivan Titov, Mirella Lapata, Ramesh Nallapati, Markus Dreyer, Mohit Bansal, Bing Liu, Xiaolan Wang, Xavier García, Reinald Kim Amplayo and Orhan Fırat. Their work appears in journals such as arXiv (Cornell University), PolyPublie (École Polytechnique de Montréal) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
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.