Dominique Zelus
About
In The Last Decade
Dominique Zelus
10 papers receiving 356 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 234
- Genetics 111
- Immunology 63
- Plant Science 59
- Cellular and Molecular Neuroscience 43
Countries citing papers authored by Dominique Zelus
This map shows the geographic impact of Dominique Zelus'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 Dominique Zelus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominique Zelus more than expected).
Fields of papers citing papers by Dominique Zelus
This network shows the impact of papers produced by Dominique Zelus. 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 Dominique Zelus. The network helps show where Dominique Zelus may publish in the future.
Co-authorship network of co-authors of Dominique Zelus
This figure shows the co-authorship network connecting the top 25 collaborators of Dominique Zelus. A scholar is included among the top collaborators of Dominique Zelus 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 Dominique Zelus. Dominique Zelus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 20 | |
| 3 | Bounding the Capacity Measure of Multi-Class Discriminant Models | 3 |
| 4 | 181 | |
| 5 | Combining Protein Secondary Structure Prediction Models with Ensemble Methods of Optimal Complexity | 2 |
| 6 | 33 | |
| 7 | 30 | |
| 8 | Combining Protein Secondary Structure Prediction Methods with a new Multi-Category SVM | 1 |
| 9 | 23 | |
| 10 | 65 |
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.