Graciela Rosemblat
- Molecular Biology
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 5%
- General Health Professions top 10%
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Marcelo FiszmanHalil KilicogluThomas C. RindfleschDongwook ShinChristopher M. MillerAllen C. BrowneAlla KeselmanTony Tse
- Topics
- Biomedical Text Mining and Ontologies (23 papers)Topic Modeling (14 papers)Semantic Web and Ontologies (13 papers)
- Journals
- BioinformaticsPLoS ONESLEEP
- Partner nations
- United StatesCanadaDenmark
In The Last Decade
Graciela Rosemblat
33 papers receiving 853 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 615
- Artificial Intelligence 521
- Computational Theory and Mathematics 151
- General Health Professions 101
- Statistics, Probability and Uncertainty 47
Countries citing papers authored by Graciela Rosemblat
This map shows the geographic impact of Graciela Rosemblat'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 Graciela Rosemblat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graciela Rosemblat more than expected).
Fields of papers citing papers by Graciela Rosemblat
This network shows the impact of papers produced by Graciela Rosemblat. 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 Graciela Rosemblat. The network helps show where Graciela Rosemblat may publish in the future.
Co-authorship network of co-authors of Graciela Rosemblat
This figure shows the co-authorship network connecting the top 25 collaborators of Graciela Rosemblat. A scholar is included among the top collaborators of Graciela Rosemblat 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 Graciela Rosemblat. Graciela Rosemblat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 59 | |
| 3 | 16 | |
| 4 | 19 | |
| 5 | Enhancing Identification of Relation Arguments in SemRep. | 1 |
| 6 | 5 | |
| 7 | 15 | |
| 8 | 42 | |
| 9 | 8 | |
| 10 | 34 | |
| 11 | 228 | |
| 12 | Graph-Based Methods for Discovery Browsing with Semantic Predications | 2 |
| 13 | 41 | |
| 14 | 44 | |
| 15 | Graph-based methods for discovery browsing with semantic predications. | 38 |
| 16 | 63 | |
| 17 | 18 | |
| 18 | 16 | |
| 19 | Building a medical Spanish lexicon. | 2 |
| 20 | Semantic processing to enhance retrieval of diagnosis citations from Medline. | 3 |
About Graciela Rosemblat
Graciela Rosemblat is a scholar working on Artificial Intelligence, Health Information Management and Statistics, Probability and Uncertainty, having authored 34 papers that have together received 877 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (23 papers), Topic Modeling (14 papers) and Semantic Web and Ontologies (13 papers). The work is most often cited by research in Artificial Intelligence (521 citations), Health Informatics (14 citations) and Computational Theory and Mathematics (151 citations). Graciela Rosemblat has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Marcelo Fiszman, Halil Kilicoglu, Thomas C. Rindflesch, Dongwook Shin, Dongwook Shin, Christopher M. Miller, Allen C. Browne, Alla Keselman, Tony Tse and Han Zhang. Their work appears in journals such as Bioinformatics, PLoS ONE and SLEEP.
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.