Barbara Rosario
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Molecular Biology
- Signal Processing top 10%
- Biomedical Engineering
- Co-authors
- Nuria OliverAlex PentlandMarti A. HearstCharles J. FillmoreRoy WantTrevor PeringRob EnnalsJohn Mark Agosta
- Topics
- Natural Language Processing Techniques (6 papers)Topic Modeling (5 papers)Biomedical Text Mining and Ontologies (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE NetworkInternational Journal of Medical Informatics
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Barbara Rosario
17 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 960
- Artificial Intelligence 734
- Molecular Biology 179
- Signal Processing 101
- Biomedical Engineering 95
Countries citing papers authored by Barbara Rosario
This map shows the geographic impact of Barbara Rosario'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 Barbara Rosario with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Rosario more than expected).
Fields of papers citing papers by Barbara Rosario
This network shows the impact of papers produced by Barbara Rosario. 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 Barbara Rosario. The network helps show where Barbara Rosario may publish in the future.
Co-authorship network of co-authors of Barbara Rosario
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Rosario. A scholar is included among the top collaborators of Barbara Rosario 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 Barbara Rosario. Barbara Rosario is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Towards Style Transformation from Written-Style to Audio-Style | 1 |
| 2 | 10 | |
| 3 | 5 | |
| 4 | 31 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | Semantic Relations in Bioscience Text | 6 |
| 8 | 26 | |
| 9 | Adaptive timeout policies for fast fine-grained power management | 12 |
| 10 | 38 | |
| 11 | Extraction of semantic relations from bioscience text | 3 |
| 12 | 40 | |
| 13 | 168 | |
| 14 | 100 | |
| 15 | 50 | |
| 16 | A Bayesian computer vision system for modeling human interactionsbreakdown → | 1067 |
| 17 | 8 | |
| 18 | Graphical Models for Recognizing Human Interactions | 22 |
| 19 | 0 |
About Barbara Rosario
Barbara Rosario is a scholar working on Human-Computer Interaction, Artificial Intelligence and Hardware and Architecture, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (960 citations), Artificial Intelligence (734 citations) and Human-Computer Interaction (75 citations). Barbara Rosario has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Nuria Oliver, Alex Pentland, Marti A. Hearst, Charles J. Fillmore, Roy Want, Trevor Pering, Rob Ennals, John Mark Agosta, Sara Bly and Bill N. Schilit. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Network and International Journal of Medical Informatics.
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.