Daniel Clancy
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Model-Driven Software Engineering Techniques
- Artificial Intelligence top 5%
- AI-based Problem Solving and Planning
- Advanced Software Engineering Methodologies
Papers in
-
- AI-based Problem Solving and Planning 20
- Semantic Web and Ontologies 7
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- Constraint Satisfaction and Optimization 6
- Distributed and Parallel Computing Systems 6
- Co-authors
- Roman Rosipal (1 shared paper)Klaus Havelund (6 shared papers)Benjamin Kuipers (6 shared papers)Grigore Roşu (3 shared papers)Gregory A. Dorais (2 shared papers)Christian Plaunt (1 shared paper)Richard Levinson (1 shared paper)Nicola Muscettola (1 shared paper)
- Journals
- IEEE Transactions on Aerospace and Electronic Systems (1 paper)Journal of Aerospace Information Systems (1 paper)Annals of Mathematics and Artificial Intelligence (1 paper)OhioLink ETD Center (Ohio Library and Information Network) (1 paper)National Conference on Artificial Intelligence (4 papers)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Daniel Clancy
57 papers receiving 617 citations
Peers
Comparison fields: 5 of 82
- Software 119
- Artificial Intelligence 337
- Hardware and Architecture 50
- Computer Networks and Communications 153
- Computational Theory and Mathematics 107
Countries citing papers authored by Daniel Clancy
This map shows the geographic impact of Daniel Clancy'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 Clancy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Clancy more than expected).
Fields of papers citing papers by Daniel Clancy
This network shows the impact of papers produced by Daniel Clancy. 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 Clancy. The network helps show where Daniel Clancy may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Clancy, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | IDEA: Planning at the Core of Autonomous Reactive Agents | 2002 | 120 |
| 2 | Kernel Partial Least Squares for Nonlinear Regression and Discrimination | 2002 | 85 |
| 3 | Java PathExplorer: A Runtime Verification Tool | 2001 | 54 |
| 4 | Scheduling Earth Observing Fleets Using Evolutionary Algorithms: Problem Description and Approach | 2002 | 47 |
| 5 | On Polymorphic Circuits and Their Design Using Evolutionary Algorithms | 2002 | 45 |
| 6 | Source-Code Instrumentation and Quantification of Events | 2002 | 27 |
| 7 | The NASA Integrated Vehicle Health Management Technology Experiment for X-37 | 2002 | 25 |
| 8 | The Personal Exploration Rover: Educational Assessment Of A Robotic Exhibit For Informal Learning Venues* | 2006 | 25 |
| 9 | Model decomposition and simulation: a component based qualitative simulation algorithm | 1997 | 24 |
| 10 | Intelligent Control Approaches for Aircraft Applications | 2001 | 23 |
| 11 | Contingency Planning for Planetary Rovers | 2002 | 14 |
| 12 | Qualitative simulation as a temporally-extended constraint satisfaction problem | 1998 | 13 |
| 13 | 1996 | 13 | |
| 14 | 1998 | 11 | |
| 15 | 2002 | 11 | |
| 16 | Specification and Error Pattern Based Program Monitoring | 2001 | 11 |
| 17 | Realizing Aspects by Transforming for Events | 2002 | 11 |
| 18 | Static and dynamic abstraction solves the problem of chatter in qualitative simulation | 1997 | 10 |
| 19 | Continuous Measurements and Quantitative Constraints: Challenge Problems for Discrete Modeling Techniques | 2001 | 10 |
| 20 | Solving complexity and ambiguity problems within qualitative simulation | 1997 | 8 |
About Daniel Clancy
Daniel Clancy is a scholar working on Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, Software and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 696 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (20 papers), Fault Detection and Control Systems (9 papers), Simulation Techniques and Applications (8 papers), Semantic Web and Ontologies (7 papers), Constraint Satisfaction and Optimization (6 papers), Software Testing and Debugging Techniques (6 papers), Distributed and Parallel Computing Systems (6 papers) and Formal Methods in Verification (5 papers). The work is most often cited by research in Software (119 citations), Artificial Intelligence (337 citations), Hardware and Architecture (50 citations), Computer Networks and Communications (153 citations) and Computational Theory and Mathematics (107 citations). Daniel Clancy has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Roman Rosipal, Klaus Havelund, Benjamin Kuipers, Grigore Roşu, Gregory A. Dorais, Christian Plaunt, Richard Levinson, Nicola Muscettola, Jason Lohn and Robert E. Filman. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Journal of Aerospace Information Systems, Annals of Mathematics and Artificial Intelligence, OhioLink ETD Center (Ohio Library and Information Network) and National 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.