Rich Washington
- Artificial Intelligence top 10%
- Software top 5%
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Information Systems
- Co-authors
- Richard DeardenNicolas MeuleauSailesh RamakrishnanDavid E. SmithCorina S. PăsăreanuAllen GoldbergKlaus HavelundWillem Visser
- Topics
- Logic, Reasoning, and Knowledge (4 papers)AI-based Problem Solving and Planning (4 papers)Software Reliability and Analysis Research (2 papers)
- Journals
- Theoretical Computer ScienceFormal Methods in System DesignarXiv (Cornell University)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Rich Washington
8 papers receiving 176 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 108
- Software 90
- Computational Theory and Mathematics 59
- Computer Networks and Communications 48
- Information Systems 35
Countries citing papers authored by Rich Washington
This map shows the geographic impact of Rich Washington'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 Rich Washington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rich Washington more than expected).
Fields of papers citing papers by Rich Washington
This network shows the impact of papers produced by Rich Washington. 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 Rich Washington. The network helps show where Rich Washington may publish in the future.
Co-authorship network of co-authors of Rich Washington
This figure shows the co-authorship network connecting the top 25 collaborators of Rich Washington. A scholar is included among the top collaborators of Rich Washington based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rich Washington. Rich Washington is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | Sparse Spatiotemporal Coding for Activity Recognition | 5 |
| 3 | 7 | |
| 4 | Scaling Up Decision Theoretic Planning to Planetary Rover Problems | 5 |
| 5 | 56 | |
| 6 | 47 | |
| 7 | Incremental Contingency Planning | 41 |
| 8 | Contingency Planning for Planetary Rovers | 13 |
About Rich Washington
Rich Washington is a scholar working on Software, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 8 papers that have together received 195 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (4 papers), AI-based Problem Solving and Planning (4 papers) and Software Reliability and Analysis Research (2 papers). The work is most often cited by research in Software (90 citations), Computational Theory and Mathematics (59 citations) and Artificial Intelligence (108 citations). Rich Washington has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Richard Dearden, Nicolas Meuleau, Sailesh Ramakrishnan, David E. Smith, Corina S. Păsăreanu, Allen Goldberg, Klaus Havelund, Willem Visser, Doron Drusinsky and Dimitra Giannakopoulou. Their work appears in journals such as Theoretical Computer Science, Formal Methods in System Design and arXiv (Cornell University).
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.