Kenny Daniel
Impact in
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- Robotic Path Planning Algorithms
- Transportation top 10%
Papers in
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- Logic, Reasoning, and Knowledge 1
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- Data-Driven Disease Surveillance 2
- Co-authors
- Sven Koenig (4 shared papers)Alex Nash (1 shared paper)Maheshkumar Sabhnani (2 shared papers)Daniel B. Neill (2 shared papers)Andrew Moore (2 shared papers)Liron Cohen (1 shared paper)Masabumi Furuhata (1 shared paper)Maged Dessouky (1 shared paper)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (1 paper)National Conference on Artificial Intelligence (1 paper)Adaptive Agents and Multi-Agents Systems (1 paper)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Kenny Daniel
6 papers receiving 298 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 160
- Transportation 37
- Computer Graphics and Computer-Aided Design 20
- Aerospace Engineering 97
- Automotive Engineering 45
Countries citing papers authored by Kenny Daniel
This map shows the geographic impact of Kenny Daniel'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 Kenny Daniel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenny Daniel more than expected).
Fields of papers citing papers by Kenny Daniel
This network shows the impact of papers produced by Kenny Daniel. 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 Kenny Daniel. The network helps show where Kenny Daniel may publish in the future.
Co-authors
The 12 scholars most cited alongside Kenny Daniel, 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 | Theta*: any-angle path planning on grids | 2007 | 179 |
| 2 | 2005 | 103 | |
| 3 | 2014 | 33 | |
| 4 | 2009 | 3 | |
| 5 | An Expectation-Based Scan Statistic for Detection of Space-Time Clusters | 2006 | 3 |
| 6 | ESP: Pursuit Evasion on Series-Parallel Graphs (Extended Abstract) | 2010 | 1 |
About Kenny Daniel
Kenny Daniel is a scholar working on Artificial Intelligence, Epidemiology, Automotive Engineering, Computer Vision and Pattern Recognition and Marketing, having authored 6 papers that have together received 322 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (2 papers), Transportation and Mobility Innovations (1 paper), Sharing Economy and Platforms (1 paper), Advanced Graph Theory Research (1 paper), COVID-19 epidemiological studies (1 paper), Zoonotic diseases and public health (1 paper), Logic, Reasoning, and Knowledge (1 paper) and Robotic Path Planning Algorithms (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (160 citations), Transportation (37 citations), Computer Graphics and Computer-Aided Design (20 citations), Aerospace Engineering (97 citations) and Automotive Engineering (45 citations). Kenny Daniel has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Sven Koenig, Alex Nash, Maheshkumar Sabhnani, Daniel B. Neill, Andrew Moore, Liron Cohen, Masabumi Furuhata, Maged Dessouky, Xiaoqing Wang and Fernando Ordóñez. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, National Conference on Artificial Intelligence and Adaptive Agents and Multi-Agents 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.