Graciela Rosemblat

44 total papers · 1.3k total citations
34 papers, 876 citations indexed

About

Graciela Rosemblat is a scholar working on Artificial Intelligence, Molecular Biology and General Health Professions. According to data from OpenAlex, Graciela Rosemblat has authored 34 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 23 papers in Molecular Biology and 5 papers in General Health Professions. Recurrent topics in Graciela Rosemblat's work include Biomedical Text Mining and Ontologies (23 papers), Topic Modeling (14 papers) and Semantic Web and Ontologies (13 papers). Graciela Rosemblat is often cited by papers focused on Biomedical Text Mining and Ontologies (23 papers), Topic Modeling (14 papers) and Semantic Web and Ontologies (13 papers). Graciela Rosemblat collaborates with scholars based in United States, Canada and Denmark. Graciela Rosemblat's co-authors include Marcelo Fiszman, Halil Kilicoglu, Thomas C. Rindflesch, Dongwook Shin, Dongwook Shin, Christopher M. Miller, Allen C. Browne, Tony Tse, Alla Keselman and Han Zhang and has published in prestigious journals such as Bioinformatics, PLoS ONE and SLEEP.

In The Last Decade

Graciela Rosemblat

33 papers receiving 850 citations

Author Peers

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

Author						Papers	Cites
Graciela Rosemblat	614	520	152	101	47	34	876
Dimitar Hristovski	788 1.3×	513 1.0×	185 1.2×	32 0.3×	18 0.4×	41	1.0k
Alexis Allot	515 0.8×	277 0.5×	70 0.5×	28 0.3×	31 0.7×	23	1.0k
Manabu Torii	671 1.1×	561 1.1×	36 0.2×	57 0.6×	12 0.3×	51	984
Susanne M. Humphrey	638 1.0×	512 1.0×	50 0.3×	33 0.3×	21 0.4×	35	844
Luca Toldo	488 0.8×	382 0.7×	201 1.3×	45 0.4×	6 0.1×	23	904
Meliha Yetisgen-Yildiz	467 0.8×	497 1.0×	48 0.3×	30 0.3×	15 0.3×	29	764
Son Doan	479 0.8×	484 0.9×	42 0.3×	45 0.4×	15 0.3×	34	1.0k
Weisong Liu	419 0.7×	281 0.5×	52 0.3×	33 0.3×	15 0.3×	43	864
Louise Deléger	429 0.7×	523 1.0×	27 0.2×	35 0.3×	30 0.6×	46	842
Berry de Bruijn	628 1.0×	564 1.1×	29 0.2×	30 0.3×	102 2.2×	26	983

Countries citing papers authored by Graciela Rosemblat

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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