Nicolas Loeff
About
In The Last Decade
Nicolas Loeff
6 papers receiving 97 citations
Peers
Comparison fields: 5 of 20
- Computer Vision and Pattern Recognition 91
- Artificial Intelligence 46
- Aerospace Engineering 14
- Media Technology 7
- Signal Processing 5
Countries citing papers authored by Nicolas Loeff
This map shows the geographic impact of Nicolas Loeff'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 Nicolas Loeff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Loeff more than expected).
Fields of papers citing papers by Nicolas Loeff
This network shows the impact of papers produced by Nicolas Loeff. 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 Nicolas Loeff. The network helps show where Nicolas Loeff may publish in the future.
Co-authorship network of co-authors of Nicolas Loeff
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Loeff. A scholar is included among the top collaborators of Nicolas Loeff 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 Nicolas Loeff. Nicolas Loeff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 13 | |
| 3 | 31 | |
| 4 | 5 | |
| 5 | 31 | |
| 6 | Efficient Unsupervised Learning for Localization and Detection in Object Categories | 19 |
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.