What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Gene
- Operating system
Her primary scientific interests are in Artificial intelligence, Video tracking, Computer vision, Multimedia and Information retrieval.
Her Artificial intelligence research incorporates themes from Machine learning, Big data, Speech recognition and Pattern recognition.
Her Video tracking research includes elements of Frame, Motion compensation and Video processing.
Her research on Computer vision frequently links to adjacent areas such as Real-time computing.
Nevenka Dimitrova studied Multimedia and Video capture that intersect with Generator.
The study incorporates disciplines such as Test, Selection, Key frame and User profile in addition to Information retrieval.
Her most cited work include:
- Applications of video-content analysis and retrieval (300 citations)
- Streaming video bookmarks (260 citations)
- Classification of general audio data for content-based retrieval (257 citations)
What are the main themes of her work throughout her whole career to date?
Her primary scientific interests are in Artificial intelligence, Multimedia, Information retrieval, Computer vision and Genetics.
Her Artificial intelligence study combines topics from a wide range of disciplines, such as Natural language processing and Pattern recognition.
Her Multimedia study incorporates themes from Video capture, User interface, World Wide Web and Selection.
Her studies in Computer vision integrate themes in fields like Frame and Computer graphics.
In her work, Transcriptome and Human genome is strongly intertwined with Computational biology, which is a subfield of Genetics.
Her research integrates issues of Motion compensation and Video processing in her study of Video tracking.
She most often published in these fields:
- Artificial intelligence (25.85%)
- Multimedia (19.73%)
- Information retrieval (14.29%)
What were the highlights of her more recent work (between 2014-2020)?
- Computational biology (9.52%)
- Genetics (10.88%)
- Gene (9.18%)
In recent papers she was focusing on the following fields of study:
Her primary areas of study are Computational biology, Genetics, Gene, Cancer and Breast cancer.
Her Computational biology research incorporates elements of Transcriptome, Glioblastoma, DNA sequencing and Genomics.
Her Gene research is multidisciplinary, incorporating perspectives in Cancer research and Pathogen.
Her Cancer research is multidisciplinary, relying on both Epigenomics, Gene expression and Oncology.
Her research in Clinical trial intersects with topics in Matching and Artificial intelligence.
Her research is interdisciplinary, bridging the disciplines of Data science and Artificial intelligence.
Between 2014 and 2020, her most popular works were:
- Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View. (204 citations)
- Optimizing sparse sequencing of single cells for highly multiplex copy number profiling (89 citations)
- Enterovirus D68 Subclade B3 Strain Circulating and Causing an Outbreak in the United States in 2016 (43 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Gene
- Operating system
Her primary areas of investigation include Genetics, Genome, Gene, Computational biology and Virology.
Her work in the fields of Genetics, such as Epigenomics, Genomic island and Chromosomal translocation, intersects with other areas such as Mechanism and CLTC.
Her Genome research is multidisciplinary, incorporating elements of Klebsiella pneumoniae, Clade and CRISPR.
The various areas that Nevenka Dimitrova examines in her Computational biology study include Single cell sequencing and Set.
Her Single cell sequencing study combines topics in areas such as Human genome, Cancer genome sequencing, Copy-number variation, Illumina dye sequencing and Single-cell analysis.
Her study in Virology is interdisciplinary in nature, drawing from both Sequence analysis, DNA sequencing and Metagenomics.
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