Veton Këpuska
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology
- Electrical and Electronic Engineering
- Co-authors
- Hongying MengScott MasonMarius SilaghiPatrick D. ConverseMichael M. RichterWalter RodríguezDavid MetcalfStephen M. Fiore
- Topics
- Speech Recognition and Synthesis (12 papers)Speech and Audio Processing (11 papers)Music and Audio Processing (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of the Acoustical Society of AmericaNonlinear Analysis
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Veton Këpuska
26 papers receiving 528 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 317
- Signal Processing 136
- Computer Vision and Pattern Recognition 126
- Experimental and Cognitive Psychology 63
- Electrical and Electronic Engineering 59
Countries citing papers authored by Veton Këpuska
This map shows the geographic impact of Veton Këpuska'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 Veton Këpuska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veton Këpuska more than expected).
Fields of papers citing papers by Veton Këpuska
This network shows the impact of papers produced by Veton Këpuska. 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 Veton Këpuska. The network helps show where Veton Këpuska may publish in the future.
Co-authorship network of co-authors of Veton Këpuska
This figure shows the co-authorship network connecting the top 25 collaborators of Veton Këpuska. A scholar is included among the top collaborators of Veton Këpuska 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 Veton Këpuska. Veton Këpuska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 23 | |
| 6 | 1 | |
| 7 | 240 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 19 | |
| 11 | 9 | |
| 12 | 46 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 0 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 0 | |
| 20 | 1 |
About Veton Këpuska
Veton Këpuska is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 575 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (12 papers), Speech and Audio Processing (11 papers) and Music and Audio Processing (8 papers). The work is most often cited by research in Signal Processing (136 citations), Artificial Intelligence (317 citations) and Human-Computer Interaction (37 citations). Veton Këpuska has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Hongying Meng, Scott Mason, Marius Silaghi, Patrick D. Converse, Michael M. Richter, Walter Rodríguez, David Metcalf, Stephen M. Fiore, S. Paul and J.N. Gowdy. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Nonlinear Analysis.
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.