Smaranda Belciug
About
In The Last Decade
Smaranda Belciug
37 papers receiving 428 citations
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 202
- Health Information Management 75
- Radiology, Nuclear Medicine and Imaging 72
- Computer Vision and Pattern Recognition 57
- Emergency Medical Services 54
Countries citing papers authored by Smaranda Belciug
This map shows the geographic impact of Smaranda Belciug'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 Smaranda Belciug with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Smaranda Belciug more than expected).
Fields of papers citing papers by Smaranda Belciug
This network shows the impact of papers produced by Smaranda Belciug. 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 Smaranda Belciug. The network helps show where Smaranda Belciug may publish in the future.
Co-authorship network of co-authors of Smaranda Belciug
This figure shows the co-authorship network connecting the top 25 collaborators of Smaranda Belciug. A scholar is included among the top collaborators of Smaranda Belciug 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 Smaranda Belciug. Smaranda Belciug is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 15 | |
| 6 | A Bayesian framework for extreme learning machine with application for automated cancer detection | 1 |
| 7 | 21 | |
| 8 | Business Intelligence: Statistics in predicting stock market | 3 |
| 9 | 20 | |
| 10 | 21 | |
| 11 | 34 | |
| 12 | 23 | |
| 13 | 64 | |
| 14 | Evolutionary-based intelligent decision model to optimize the liver fibrosis stadialization | 1 |
| 15 | Endoscopic Ultrasound Elastography in the Diagnosis of Pancreatic Cancer | 2 |
| 16 | Assessing performances of unsupervised and supervised neural networks in breast cancer detection | 2 |
| 17 | A two stage decision model for breast cancer detection | 2 |
| 18 | Patients length of stay grouping using the hierarchical clustering algorithm | 11 |
| 19 | A multi-layer based procedure for detecting liver fibrosis | 4 |
| 20 | Features selection approach for non-invasive evaluation of liver fibrosis | 5 |
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.