Nikos Karampatziakis
-
- Face and Expression Recognition 4
- Advanced Image and Video Retrieval Techniques 2
- Face recognition and analysis 2
- Signal Processing top 5%
- Artificial Intelligence top 5%
- Machine Learning and Algorithms 6
- Machine Learning and Data Classification 4
- Domain Adaptation and Few-Shot Learning 2
- Stochastic Gradient Optimization Techniques 2
- Computational Mechanics top 10%
-
- Software Engineering Research 2
- Co-authors
- Rich CaruanaAinur YessenalinaRashish TandonQi LeiAlexandros G. DimakisGeorge TodericiIoannis A. KakadiarisTheoharis Theoharis
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)International Conference on Machine Learning (2 papers)arXiv (Cornell University) (4 papers)
- Partner nations
- United StatesGreeceUnited Kingdom
In The Last Decade
Nikos Karampatziakis
15 papers receiving 866 citations
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 380
- Signal Processing 147
- Artificial Intelligence 337
- Computer Networks and Communications 138
- Computational Mechanics 76
Countries citing papers authored by Nikos Karampatziakis
This map shows the geographic impact of Nikos Karampatziakis'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 Nikos Karampatziakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikos Karampatziakis more than expected).
Fields of papers citing papers by Nikos Karampatziakis
This network shows the impact of papers produced by Nikos Karampatziakis. 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 Nikos Karampatziakis. The network helps show where Nikos Karampatziakis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nikos Karampatziakis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2019 | 5 | |
| 3 | Gradient Coding: Avoiding Stragglers in Distributed Learning | 2017 | 196 |
| 4 | Logarithmic Time One-Against-Some | 2017 | 5 |
| 5 | Fast Label Embeddings for Extremely Large Output Spaces | 2015 | 2 |
| 6 | Distributed and Scalable PCA in the Cloud | 2014 | 1 |
| 7 | 2014 | 3 | |
| 8 | 2013 | 6 | |
| 9 | Importance Weight Aware Gradient Updates | 2010 | 4 |
| 10 | Static Analysis of Binary Executables Using Structural SVMs | 2010 | 7 |
| 11 | 2010 | 24 | |
| 12 | 2009 | 1 | |
| 13 | 2008 | 339 | |
| 14 | 2007 | 297 | |
| 15 | Probabilistic Outputs for SVMs and Comparisons to Regularized Likelihood Methods | 2007 | 20 |
| 16 | 2006 | 3 |
About Nikos Karampatziakis
Nikos Karampatziakis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Software, having authored 16 papers that have together received 913 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (6 papers), Face and Expression Recognition (4 papers), Machine Learning and Data Classification (4 papers), Domain Adaptation and Few-Shot Learning (2 papers), Software Engineering Research (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (380 citations), Signal Processing (147 citations) and Artificial Intelligence (337 citations). Nikos Karampatziakis has collaborated with scholars based in United States, Greece and United Kingdom. Frequent co-authors include Rich Caruana, Ainur Yessenalina, Rashish Tandon, Qi Lei, Alexandros G. Dimakis, George Toderici, Ioannis A. Kakadiaris, Theoharis Theoharis, Georgios Passalis and John Langford. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Conference on Machine Learning, arXiv (Cornell University), Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and Neural Information Processing Systems.
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.