Daniela Elena Popescu
- Plant Science top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Neurology top 10%
- Co-authors
- D. Jude HemanthJennifer EuniceM. Kalpana ChowdaryJ. AndrewJ. AnithaLê Hoàng SơnSanaa KaddouraAntoanela Naaji
- Topics
- Blockchain Technology Applications and Security (6 papers)Digital Media Forensic Detection (5 papers)Advanced Steganography and Watermarking Techniques (4 papers)
In The Last Decade
Daniela Elena Popescu
32 papers receiving 812 citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Plant Science 286
- Artificial Intelligence 190
- Computer Vision and Pattern Recognition 171
- Information Systems 94
- Neurology 92
Countries citing papers authored by Daniela Elena Popescu
This map shows the geographic impact of Daniela Elena Popescu'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 Daniela Elena Popescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Elena Popescu more than expected).
Fields of papers citing papers by Daniela Elena Popescu
This network shows the impact of papers produced by Daniela Elena Popescu. 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 Daniela Elena Popescu. The network helps show where Daniela Elena Popescu may publish in the future.
Co-authorship network of co-authors of Daniela Elena Popescu
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Elena Popescu. A scholar is included among the top collaborators of Daniela Elena Popescu 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 Daniela Elena Popescu. Daniela Elena Popescu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 16 | |
| 9 | 16 | |
| 10 | 35 | |
| 11 | 34 | |
| 12 | 10 | |
| 13 | 9 | |
| 14 | 126 | |
| 15 | 86 | |
| 16 | 21 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | Monte Carlo Simulation using Excel for Predicting Reliability of a Geothermal Plant | 4 |
About Daniela Elena Popescu
Daniela Elena Popescu is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Information Systems, having authored 37 papers that have together received 865 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (6 papers), Digital Media Forensic Detection (5 papers) and Advanced Steganography and Watermarking Techniques (4 papers). The work is most often cited by research in Neurology (92 citations), Analytical Chemistry (91 citations) and Computer Vision and Pattern Recognition (171 citations). Daniela Elena Popescu has collaborated with scholars based in Romania, India and Vietnam. Frequent co-authors include D. Jude Hemanth, Jennifer Eunice, M. Kalpana Chowdary, J. Andrew, J. Anitha, Lê Hoàng Sơn, Sanaa Kaddoura, Antoanela Naaji, Oana Geman and Constantin Bungău. Their work appears in journals such as The Science of The Total Environment, IEEE Access and Sustainability.
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.