Daniel Bryce
Impact in
- Artificial Intelligence top 5%
- AI-based Problem Solving and Planning
- Logic, Reasoning, and Knowledge
- Semantic Web and Ontologies
- Bayesian Modeling and Causal Inference
- Software top 10%
Papers in
-
- AI-based Problem Solving and Planning 21
- Logic, Reasoning, and Knowledge 13
- Bayesian Modeling and Causal Inference 7
- Machine Learning and Algorithms 4
- Semantic Web and Ontologies 3
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- Constraint Satisfaction and Optimization 7
- Co-authors
- Subbarao Kambhampati (7 shared papers)Richard Hull (1 shared paper)David E. Smith (5 shared papers)Robert P. Goldman (4 shared papers)David J. Musliner (2 shared papers)Sicun Gao (1 shared paper)Seungchan Kim (2 shared papers)Kyungmin Bae (1 shared paper)
- Journals
- Artificial Intelligence (2 papers)ACM Journal on Emerging Technologies in Computing Systems (1 paper)ACM Transactions on Intelligent Systems and Technology (1 paper)Journal of Artificial Intelligence Research (1 paper)ACS Synthetic Biology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Daniel Bryce
27 papers receiving 369 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 338
- Software 37
- Computer Networks and Communications 140
- Signal Processing 65
- Computer Vision and Pattern Recognition 62
Countries citing papers authored by Daniel Bryce
This map shows the geographic impact of Daniel Bryce'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 Bryce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Bryce more than expected).
Fields of papers citing papers by Daniel Bryce
This network shows the impact of papers produced by Daniel Bryce. 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 Bryce. The network helps show where Daniel Bryce may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Bryce, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 99 | |
| 2 | 2006 | 95 | |
| 3 | 2015 | 41 | |
| 4 | Heuristic guidance measures for conformant planning | 2004 | 20 |
| 5 | Sequential monte carlo in probabilistic planning reachability heuristics | 2006 | 18 |
| 6 | International Planning Competition Uncertainty Part: Benchmarks and Results | 2008 | 17 |
| 7 | 2011 | 16 | |
| 8 | 2014 | 15 | |
| 9 | 2023 | 12 | |
| 10 | Probabilistic Planning is Multi-objective! | 2007 | 12 |
| 11 | 2016 | 10 | |
| 12 | 2007 | 8 | |
| 13 | 2010 | 7 | |
| 14 | 2022 | 6 | |
| 15 | Planning in belief space with a labelled uncertainty graph | 2004 | 6 |
| 16 | 2015 | 6 | |
| 17 | State agnostic planning graphs and the application to belief-space planning | 2005 | 6 |
| 18 | 2006 | 5 | |
| 19 | MABLE: a framework for learning from natural instruction | 2009 | 4 |
| 20 | 2010 | 3 |
About Daniel Bryce
Daniel Bryce is a scholar working on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Computational Theory and Mathematics and Software, having authored 30 papers that have together received 418 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (21 papers), Logic, Reasoning, and Knowledge (13 papers), Bayesian Modeling and Causal Inference (7 papers), Constraint Satisfaction and Optimization (7 papers), Machine Learning and Algorithms (4 papers), Formal Methods in Verification (4 papers), Semantic Web and Ontologies (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Artificial Intelligence (338 citations), Software (37 citations), Computer Networks and Communications (140 citations), Signal Processing (65 citations) and Computer Vision and Pattern Recognition (62 citations). Daniel Bryce has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Subbarao Kambhampati, Richard Hull, David E. Smith, Robert P. Goldman, David J. Musliner, Sicun Gao, Seungchan Kim, Kyungmin Bae, Peter L. Lee and Mark Weston. Their work appears in journals such as Artificial Intelligence, ACM Journal on Emerging Technologies in Computing Systems, ACM Transactions on Intelligent Systems and Technology, Journal of Artificial Intelligence Research and ACS Synthetic Biology.
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.