Lukas Cavigelli
About
In The Last Decade
Lukas Cavigelli
46 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 85
- Electrical and Electronic Engineering 664
- Computer Vision and Pattern Recognition 619
- Artificial Intelligence 307
- Cognitive Neuroscience 269
- Computer Networks and Communications 120
Countries citing papers authored by Lukas Cavigelli
This map shows the geographic impact of Lukas Cavigelli'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 Lukas Cavigelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Cavigelli more than expected).
Fields of papers citing papers by Lukas Cavigelli
This network shows the impact of papers produced by Lukas Cavigelli. 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 Lukas Cavigelli. The network helps show where Lukas Cavigelli may publish in the future.
Co-authorship network of co-authors of Lukas Cavigelli
This figure shows the co-authorship network connecting the top 25 collaborators of Lukas Cavigelli. A scholar is included among the top collaborators of Lukas Cavigelli 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 Lukas Cavigelli. Lukas Cavigelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 15 | |
| 4 | 10 | |
| 5 | 6 | |
| 6 | 20 | |
| 7 | 181 | |
| 8 | 101 | |
| 9 | 9 | |
| 10 | 69 | |
| 11 | 15 | |
| 12 | 23 | |
| 13 | 33 | |
| 14 | Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks. | 10 |
| 15 | Soft-to-hard vector quantization for end-to-end learning compressible representations | 77 |
| 16 | 77 | |
| 17 | 12 | |
| 18 | 67 | |
| 19 | 114 | |
| 20 | 74 |
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.