Hervé Lombaert
About
In The Last Decade
Hervé Lombaert
35 papers receiving 825 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 432
- Radiology, Nuclear Medicine and Imaging 351
- Biomedical Engineering 131
- Cardiology and Cardiovascular Medicine 126
- Artificial Intelligence 118
Countries citing papers authored by Hervé Lombaert
This map shows the geographic impact of Hervé Lombaert'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 Hervé Lombaert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hervé Lombaert more than expected).
Fields of papers citing papers by Hervé Lombaert
This network shows the impact of papers produced by Hervé Lombaert. 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 Hervé Lombaert. The network helps show where Hervé Lombaert may publish in the future.
Co-authorship network of co-authors of Hervé Lombaert
This figure shows the co-authorship network connecting the top 25 collaborators of Hervé Lombaert. A scholar is included among the top collaborators of Hervé Lombaert 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 Hervé Lombaert. Hervé Lombaert 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 | 1 | |
| 4 | 2 | |
| 5 | 26 | |
| 6 | 13 | |
| 7 | Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation | 7 |
| 8 | 14 | |
| 9 | 20 | |
| 10 | 37 | |
| 11 | Brain Tumor Segmentation using Topological Loss in Convolutional Networks | 1 |
| 12 | 8 | |
| 13 | 12 | |
| 14 | 0 | |
| 15 | 7 | |
| 16 | 8 | |
| 17 | 153 | |
| 18 | 21 | |
| 19 | 0 | |
| 20 | 4 |
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.