Yevgen Voronenko
- Hardware and Architecture top 1%
- Computational Theory and Mathematics top 1%
- Signal Processing top 2%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Co-authors
- Markus PüschelFranz FranchettiJosé M. F. MouraJeremy JohnsonBryan SingerRobert W. JohnsonManuela VelosoDavid Padua
- Topics
- Numerical Methods and Algorithms (14 papers)Parallel Computing and Optimization Techniques (13 papers)Advanced Radiotherapy Techniques (9 papers)
- Journals
- Proceedings of the IEEEIEEE Transactions on Signal ProcessingInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- United StatesDenmarkAustria
In The Last Decade
Yevgen Voronenko
27 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Hardware and Architecture 669
- Computational Theory and Mathematics 457
- Signal Processing 443
- Computer Networks and Communications 319
- Electrical and Electronic Engineering 259
Countries citing papers authored by Yevgen Voronenko
This map shows the geographic impact of Yevgen Voronenko'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 Yevgen Voronenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yevgen Voronenko more than expected).
Fields of papers citing papers by Yevgen Voronenko
This network shows the impact of papers produced by Yevgen Voronenko. 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 Yevgen Voronenko. The network helps show where Yevgen Voronenko may publish in the future.
Co-authorship network of co-authors of Yevgen Voronenko
This figure shows the co-authorship network connecting the top 25 collaborators of Yevgen Voronenko. A scholar is included among the top collaborators of Yevgen Voronenko 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 Yevgen Voronenko. Yevgen Voronenko 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 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 14 | |
| 11 | 36 | |
| 12 | 31 | |
| 13 | Library generation for linear transforms | 11 |
| 14 | 75 | |
| 15 | 310 | |
| 16 | 21 | |
| 17 | 20 | |
| 18 | SPIRAL: Code Generation for DSP Transformsbreakdown → | 513 |
| 19 | Adaptive Mapping of Linear DSP Algorithms to Fixed-Point Arithmetic | 2 |
| 20 | 13 |
About Yevgen Voronenko
Yevgen Voronenko is a scholar working on Hardware and Architecture, Radiation and Computational Theory and Mathematics, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (14 papers), Parallel Computing and Optimization Techniques (13 papers) and Advanced Radiotherapy Techniques (9 papers). The work is most often cited by research in Hardware and Architecture (669 citations), Signal Processing (443 citations) and Computational Theory and Mathematics (457 citations). Yevgen Voronenko has collaborated with scholars based in United States, Denmark and Austria. Frequent co-authors include Markus Püschel, Franz Franchetti, José M. F. Moura, Jeremy Johnson, Bryan Singer, Robert W. Johnson, Manuela Veloso, David Padua, A. Gacic and Arpad Rimmel. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Signal Processing and International Journal of Radiation Oncology*Biology*Physics.
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.