Nevenka Dimitrova
- Computer Vision and Pattern Recognition top 0.5%
- Molecular Biology top 10%
- Signal Processing top 1%
- Artificial Intelligence top 5%
- Cancer Research top 5%
- Co-authors
- Ishwar K. SethiDongge LiLalitha AgnihotriForouzan GolshaniMingkun LiSvetha VenkateshDinh PhungChandan Karmakar
- Topics
- Video Analysis and Summarization (58 papers)Image Retrieval and Classification Techniques (30 papers)Advanced Image and Video Retrieval Techniques (25 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Clinical Oncology
- Partner nations
- United StatesFinlandIndia
In The Last Decade
Nevenka Dimitrova
129 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Computer Vision and Pattern Recognition 1.3k
- Molecular Biology 723
- Signal Processing 604
- Artificial Intelligence 435
- Cancer Research 327
Countries citing papers authored by Nevenka Dimitrova
This map shows the geographic impact of Nevenka Dimitrova'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 Nevenka Dimitrova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nevenka Dimitrova more than expected).
Fields of papers citing papers by Nevenka Dimitrova
This network shows the impact of papers produced by Nevenka Dimitrova. 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 Nevenka Dimitrova. The network helps show where Nevenka Dimitrova may publish in the future.
Co-authorship network of co-authors of Nevenka Dimitrova
This figure shows the co-authorship network connecting the top 25 collaborators of Nevenka Dimitrova. A scholar is included among the top collaborators of Nevenka Dimitrova 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 Nevenka Dimitrova. Nevenka Dimitrova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 24 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary Viewbreakdown → | 695 |
| 6 | 6 | |
| 7 | 14 | |
| 8 | 86 | |
| 9 | 46 | |
| 10 | 112 | |
| 11 | 15 | |
| 12 | 78 | |
| 13 | 3 | |
| 14 | 12 | |
| 15 | 4 | |
| 16 | 7 | |
| 17 | Clustering of Imperfect Transcripts using a Novel Similarity Measure | 1 |
| 18 | Improving Digital Video Commercial Detectors With Genetic Algorithms | 1 |
| 19 | Entry into the Content Forest: The Role of Multimedia Portals | 3 |
| 20 | Video and image content representation and retrieval | 3 |
About Nevenka Dimitrova
Nevenka Dimitrova is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Cancer Research, having authored 134 papers that have together received 3.3k indexed citations. Recurring topics across this work include Video Analysis and Summarization (58 papers), Image Retrieval and Classification Techniques (30 papers) and Advanced Image and Video Retrieval Techniques (25 papers). The work is most often cited by research in Health Informatics (121 citations), Computer Vision and Pattern Recognition (1.3k citations) and Signal Processing (604 citations). Nevenka Dimitrova has collaborated with scholars based in United States, Finland and India. Frequent co-authors include Ishwar K. Sethi, Dongge Li, Lalitha Agnihotri, Forouzan Golshani, Mingkun Li, Svetha Venkatesh, Dinh Phung, Chandan Karmakar, John Yearwood and Wei Luo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.
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.