Adrian Łańcucki
About
In The Last Decade
Adrian Łańcucki
14 papers receiving 239 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 215
- Signal Processing 123
- Computer Vision and Pattern Recognition 27
- Experimental and Cognitive Psychology 12
- Molecular Biology 11
Countries citing papers authored by Adrian Łańcucki
This map shows the geographic impact of Adrian Łańcucki'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 Adrian Łańcucki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Łańcucki more than expected).
Fields of papers citing papers by Adrian Łańcucki
This network shows the impact of papers produced by Adrian Łańcucki. 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 Adrian Łańcucki. The network helps show where Adrian Łańcucki may publish in the future.
Co-authorship network of co-authors of Adrian Łańcucki
This figure shows the co-authorship network connecting the top 25 collaborators of Adrian Łańcucki. A scholar is included among the top collaborators of Adrian Łańcucki 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 Adrian Łańcucki. Adrian Łańcucki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 35 | |
| 3 | 13 | |
| 4 | 6 | |
| 5 | RAD-TTS: Parallel Flow-Based TTS with Robust Alignment Learning and Diverse Synthesis | 14 |
| 6 | 138 | |
| 7 | 5 | |
| 8 | 14 | |
| 9 | 14 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 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.