Daniel Urieli
Impact in
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- Auction Theory and Applications
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- Data Management and Algorithms
Papers in
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- Image and Signal Denoising Methods 4
- Advanced Data Compression Techniques 4
- Robotic Path Planning Algorithms 3
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- Auction Theory and Applications 5
- Co-authors
- Peter Stone (15 shared papers)Yossi Matias (5 shared papers)Patrick MacAlpine (6 shared papers)Noa Agmon (2 shared papers)Shivaram Kalyanakrishnan (4 shared papers)Samuel Barrett (4 shared papers)Victor Vu (3 shared papers)Francisco J. Barrera (2 shared papers)
- Journals
- Neural Computing and Applications (1 paper)Theoretical Computer Science (1 paper)IEEE Control Systems (1 paper)Lecture notes in computer science (4 papers)Texas ScholarWorks (Texas Digital Library) (1 paper)
- Partner nations
- United StatesIsraelChina
In The Last Decade
Daniel Urieli
20 papers receiving 254 citations
Peers
Comparison fields: 5 of 52
- Management Science and Operations Research 75
- Signal Processing 42
- Computer Vision and Pattern Recognition 56
- Artificial Intelligence 85
- Building and Construction 27
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-authors
The 19 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 36 | |
| 2 | 2013 | 34 | |
| 3 | 2011 | 27 | |
| 4 | 2012 | 26 | |
| 5 | 2011 | 25 | |
| 6 | 2014 | 22 | |
| 7 | 2004 | 21 | |
| 8 | 2006 | 12 | |
| 9 | 2016 | 10 | |
| 10 | 2016 | 8 | |
| 11 | 2012 | 8 | |
| 12 | UT Austin Villa 2011: 3D Simulation Team Report | 2011 | 7 |
| 13 | 2021 | 6 | |
| 14 | 2006 | 6 | |
| 15 | On the Optimality of the Greedy Heuristic in Wavelet Synopses for Range Queries | 2005 | 5 |
| 16 | 2016 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2023 | 2 | |
| 19 | Optimizing Interdependent Skills for Simulated 3D Humanoid Robot Soccer | 2011 | 2 |
| 20 | 2013 | 1 |
About Daniel Urieli
Daniel Urieli is a scholar working on Computer Vision and Pattern Recognition, Management Science and Operations Research, Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 22 papers that have together received 265 indexed citations. Recurring topics across this work include Smart Grid Energy Management (7 papers), Auction Theory and Applications (5 papers), Robotic Locomotion and Control (5 papers), Image and Signal Denoising Methods (4 papers), Reinforcement Learning in Robotics (4 papers), Advanced Data Compression Techniques (4 papers), Robotic Path Planning Algorithms (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Management Science and Operations Research (75 citations), Signal Processing (42 citations), Computer Vision and Pattern Recognition (56 citations), Artificial Intelligence (85 citations) and Building and Construction (27 citations). Daniel Urieli has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Peter Stone, Yossi Matias, Patrick MacAlpine, Noa Agmon, Shivaram Kalyanakrishnan, Samuel Barrett, Victor Vu, Francisco J. Barrera, Xiaoping Chen and Benjamin Seibold. Their work appears in journals such as Neural Computing and Applications, Theoretical Computer Science, IEEE Control Systems, Lecture notes in computer science and Texas ScholarWorks (Texas Digital Library).
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.