Daniel Urieli
Impact in
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- Auction Theory and Applications
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- Building Energy and Comfort Optimization
Papers in
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- Auction Theory and Applications 5
- Co-authors
- Peter StonePatrick MacAlpineNoa AgmonShivaram KalyanakrishnanYossi MatiasSamuel BarrettVictor VuFrancisco J. Barrera
- Journals
- Theoretical Computer Science (1 paper)Neural Computing and Applications (1 paper)IEEE Control Systems (1 paper)Adaptive Agents and Multi-Agents Systems (6 papers)Proceedings of the AAAI Conference on Artificial Intelligence (4 papers)
- Partner nations
- United StatesIsrael
In The Last Decade
Daniel Urieli
17 papers receiving 161 citations
Peers
Comparison fields: 5 of 43
- Management Science and Operations Research 38
- Building and Construction 24
- Artificial Intelligence 52
- Computer Vision and Pattern Recognition 27
- Computer Science Applications 7
Countries citing papers authored by Daniel Urieli
This map shows the geographic impact of Daniel Urieli'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 Daniel Urieli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Urieli more than expected).
Fields of papers citing papers by Daniel Urieli
This network shows the impact of papers produced by Daniel Urieli. 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 Daniel Urieli. The network helps show where Daniel Urieli may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Daniel Urieli, 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 | 2025 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 6 | |
| 4 | 2016 | 7 | |
| 5 | 2016 | 7 | |
| 6 | 2016 | 1 | |
| 7 | 2014 | 26 | |
| 8 | 2014 | 9 | |
| 9 | 2013 | 31 | |
| 10 | 2012 | 12 | |
| 11 | 2011 | 1 | |
| 12 | 2011 | 23 | |
| 13 | Optimizing Interdependent Skills for Simulated 3D Humanoid Robot Soccer | 2011 | 2 |
| 14 | 2011 | 23 | |
| 15 | UT Austin Villa 2011: 3D Simulation Team Report | 2011 | 3 |
| 16 | 2006 | 10 | |
| 17 | Improved implementation and experimental evaluation of the max-error optimized wavelet synopses | 2005 | 1 |
| 18 | On the Optimality of the Greedy Heuristic in Wavelet Synopses for Range Queries | 2005 | 3 |
About Daniel Urieli
Daniel Urieli is a scholar working on Management Science and Operations Research, Signal Processing, Software, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 169 indexed citations. Recurring topics across this work include Smart Grid Energy Management (6 papers), Auction Theory and Applications (5 papers), Robotic Locomotion and Control (5 papers), Electric Power System Optimization (3 papers), Reinforcement Learning in Robotics (3 papers), Image and Signal Denoising Methods (2 papers), Advanced Data Compression Techniques (2 papers) and Optimization and Search Problems (2 papers). The work is most often cited by research in Management Science and Operations Research (38 citations), Building and Construction (24 citations), Artificial Intelligence (52 citations), Computer Vision and Pattern Recognition (27 citations) and Computer Science Applications (7 citations). Daniel Urieli has collaborated with scholars based in United States and Israel. Frequent co-authors include Peter Stone, Patrick MacAlpine, Noa Agmon, Shivaram Kalyanakrishnan, Yossi Matias, Samuel Barrett, Victor Vu, Francisco J. Barrera, William Richardson and William Barbour. Their work appears in journals such as Theoretical Computer Science, Neural Computing and Applications, IEEE Control Systems, Adaptive Agents and Multi-Agents Systems 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.