Nikos Vlassis
Impact in
- Artificial Intelligence top 0.5%
- Reinforcement Learning in Robotics
- Advanced Clustering Algorithms Research
- Bayesian Methods and Mixture Models
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- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
Papers in
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- Reinforcement Learning in Robotics 28
- Bayesian Methods and Mixture Models 20
- Machine Learning and Algorithms 13
- Bayesian Modeling and Causal Inference 11
- Gaussian Processes and Bayesian Inference 10
- Neural Networks and Applications 10
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- Game Theory and Applications 13
- Co-authors
- Jakob VerbeekAristidis LikasBen KröseJelle R. KokMatthijs T. J. SpaanPascal PoupartYoichi MotomuraMaria Pires Pacheco
- Journals
- Bioinformatics (2 papers)Neural Computation (2 papers)Robotics and Autonomous Systems (2 papers)IEEE Intelligent Systems (2 papers)Pattern Recognition (2 papers)
- Partner nations
- NetherlandsUnited StatesLuxembourg
In The Last Decade
Nikos Vlassis
119 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 214
- Artificial Intelligence 2.3k
- Computer Vision and Pattern Recognition 1.4k
- Signal Processing 458
- Management Science and Operations Research 353
- Computer Networks and Communications 538
Countries citing papers authored by Nikos Vlassis
This map shows the geographic impact of Nikos Vlassis'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 Vlassis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikos Vlassis more than expected).
Fields of papers citing papers by Nikos Vlassis
This network shows the impact of papers produced by Nikos Vlassis. 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 Vlassis. The network helps show where Nikos Vlassis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nikos Vlassis, 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 | On the Design of Estimators for Bandit Off-Policy Evaluation | 2019 | 7 |
| 2 | 2018 | 3 | |
| 3 | Scalar Posterior Sampling with Applications | 2018 | 3 |
| 4 | Tensor decomposition via joint matrix schur decomposition | 2016 | 5 |
| 5 | t-Exponential Triplet Embedding. | 2016 | 0 |
| 6 | Practical linear models for large-scale one-class collaborative filtering | 2016 | 10 |
| 7 | Model-based Bayesian reinforcement learning in partially observable domains | 2008 | 35 |
| 8 | Multiagent reinforcement learning for urban traffic control using coordination graphs | 2008 | 1 |
| 9 | 2006 | 160 | |
| 10 | Improving approximate value iteration using memories and predictive state representations | 2006 | 8 |
| 11 | 2006 | 182 | |
| 12 | Using the max-plus algorithm for multiagent decision making in coordination graphs: Extended abstract | 2005 | 1 |
| 13 | Utile coordination: Learning interdependencies among cooperative agents | 2005 | 35 |
| 14 | Coevolutionary Nash in poker games | 2005 | 4 |
| 15 | Multi-Robot Decision Making Using Coordination Graphs | 2003 | 30 |
| 16 | Distributed Decision Making of Robotic Agents | 2003 | 5 |
| 17 | Non-linear CCA and PCA by Alignment of Local Models | 2003 | 34 |
| 18 | 2002 | 2 | |
| 19 | Towards an Optimal Scoring Policy for Simulated Soccer Agents | 2001 | 1 |
| 20 | Appearance Based Robot Localization | 1999 | 10 |
About Nikos Vlassis
Nikos Vlassis is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, Computational Mathematics and Statistics and Probability, having authored 126 papers that have together received 6.0k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (28 papers), Bayesian Methods and Mixture Models (20 papers), Robotics and Sensor-Based Localization (14 papers), Game Theory and Applications (13 papers), Machine Learning and Algorithms (13 papers), Bayesian Modeling and Causal Inference (11 papers), Gaussian Processes and Bayesian Inference (10 papers) and Neural Networks and Applications (10 papers). The work is most often cited by research in Artificial Intelligence (2.3k citations), Computer Vision and Pattern Recognition (1.4k citations), Signal Processing (458 citations), Management Science and Operations Research (353 citations) and Computer Networks and Communications (538 citations). Nikos Vlassis has collaborated with scholars based in Netherlands, United States and Luxembourg. Frequent co-authors include Jakob Verbeek, Aristidis Likas, Ben Kröse, Jelle R. Kok, Matthijs T. J. Spaan, Pascal Poupart, Yoichi Motomura, Maria Pires Pacheco, Thomas Sauter and R. Bunschoten. Their work appears in journals such as Bioinformatics, Neural Computation, Robotics and Autonomous Systems, IEEE Intelligent Systems and Pattern Recognition.
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.