Łukasz Dudziak
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Signal Processing
- Co-authors
- Nicholas D. LaneEdgar LiberisXitong GaoRobert MullinsChengzhong XuAbhinav MehrotraYiren ZhaoMohamed S. Abdelfattah
- Topics
- Advanced Neural Network Applications (5 papers)Adversarial Robustness in Machine Learning (3 papers)Domain Adaptation and Few-Shot Learning (2 papers)
- Journals
- Edinburgh Research Explorer (University of Edinburgh)Apollo (University of Cambridge)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- United KingdomUnited StatesSouth Korea
In The Last Decade
Łukasz Dudziak
8 papers receiving 117 citations
Peers
Comparison fields: 5 of 36
- Computer Vision and Pattern Recognition 80
- Artificial Intelligence 62
- Electrical and Electronic Engineering 36
- Computer Networks and Communications 21
- Signal Processing 9
Countries citing papers authored by Łukasz Dudziak
This map shows the geographic impact of Łukasz Dudziak'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 Łukasz Dudziak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Łukasz Dudziak more than expected).
Fields of papers citing papers by Łukasz Dudziak
This network shows the impact of papers produced by Łukasz Dudziak. 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 Łukasz Dudziak. The network helps show where Łukasz Dudziak may publish in the future.
Co-authorship network of co-authors of Łukasz Dudziak
This figure shows the co-authorship network connecting the top 25 collaborators of Łukasz Dudziak. A scholar is included among the top collaborators of Łukasz Dudziak 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 Łukasz Dudziak. Łukasz Dudziak 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 | 4 | |
| 3 | 19 | |
| 4 | 0 | |
| 5 | NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition | 10 |
| 6 | 50 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 19 |
About Łukasz Dudziak
Łukasz Dudziak is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 9 papers that have together received 118 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Adversarial Robustness in Machine Learning (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (80 citations), Artificial Intelligence (62 citations) and Computational Mathematics (1 citation). Łukasz Dudziak has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Nicholas D. Lane, Edgar Liberis, Xitong Gao, Robert Mullins, Chengzhong Xu, Abhinav Mehrotra, Yiren Zhao, Mohamed S. Abdelfattah, Stefanos Laskaridis and Thomas Chau. Their work appears in journals such as Edinburgh Research Explorer (University of Edinburgh), Apollo (University of Cambridge) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.