Rich Washington

439 total citations
8 papers, 195 citations indexed

About

Rich Washington is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Rich Washington has authored 8 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Rich Washington's work include Logic, Reasoning, and Knowledge (4 papers), AI-based Problem Solving and Planning (4 papers) and Software Reliability and Analysis Research (2 papers). Rich Washington is often cited by papers focused on Logic, Reasoning, and Knowledge (4 papers), AI-based Problem Solving and Planning (4 papers) and Software Reliability and Analysis Research (2 papers). Rich Washington collaborates with scholars based in United States, Switzerland and United Kingdom. Rich Washington's 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 and has published in prestigious journals such as Theoretical Computer Science, Formal Methods in System Design and arXiv (Cornell University).

In The Last Decade

Rich Washington

8 papers receiving 176 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rich Washington United States	6	108	90	59	48	35	8	195
Ankush Desai United States	6	53 0.5×	54 0.6×	68 1.2×	131 2.7×	34 1.0×	18	194
Sylvain Peyronnet France	8	46 0.4×	68 0.8×	106 1.8×	65 1.4×	20 0.6×	28	191
Tommaso Dreossi Italy	7	84 0.8×	50 0.6×	56 0.9×	13 0.3×	10 0.3×	14	176
Simone Fratini Italy	7	153 1.4×	37 0.4×	40 0.7×	110 2.3×	28 0.8×	22	220
María del Mar Gallardo Spain	9	96 0.9×	120 1.3×	127 2.2×	60 1.3×	30 0.9×	43	217
Harald Rueß Germany	9	120 1.1×	102 1.1×	158 2.7×	20 0.4×	24 0.7×	21	247
Matthew P. Evett United States	7	130 1.2×	64 0.7×	7 0.1×	75 1.6×	74 2.1×	21	211
Francesca Saglietti Germany	7	42 0.4×	126 1.4×	29 0.5×	73 1.5×	72 2.1×	32	206
Ryan W. Gardner United States	9	93 0.9×	39 0.4×	30 0.5×	50 1.0×	34 1.0×	16	174
Gidon Ernst Germany	9	92 0.9×	86 1.0×	108 1.8×	59 1.2×	21 0.6×	24	221

Countries citing papers authored by Rich Washington

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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8 of 8 papers shown

1.

Bresina, John, Richard Dearden, Nicolas Meuleau, et al.. (2012). Planning under Continuous Time and Resource Uncertainty: A Challenge for AI. arXiv (Cornell University). 77–84. 21 indexed citations

2.

Dean, Thomas, Greg S. Corrado, & Rich Washington. (2010). Sparse Spatiotemporal Coding for Activity Recognition. 5 indexed citations

3.

Dean, Thomas, Rich Washington, & Greg S. Corrado. (2009). Recursive Sparse, Spatiotemporal Coding. 313. 645–650. 7 indexed citations

4.

Meuleau, Nicolas, Richard Dearden, & Rich Washington. (2004). Scaling Up Decision Theoretic Planning to Planetary Rover Problems. National Conference on Artificial Intelligence. 5 indexed citations

5.

Artho, Cyrille, Howard Barringer, Allen Goldberg, et al.. (2004). Combining test case generation and runtime verification. Theoretical Computer Science. 336(2-3). 209–234. 56 indexed citations

6.

Brat, Guillaume, Doron Drusinsky, Dimitra Giannakopoulou, et al.. (2004). Experimental Evaluation of Verification and Validation Tools on Martian Rover Software. Formal Methods in System Design. 25(2-3). 167–198. 47 indexed citations

7.

Dearden, Richard, Nicolas Meuleau, Sailesh Ramakrishnan, David E. Smith, & Rich Washington. (2003). Incremental Contingency Planning. International Conference on Automated Planning and Scheduling. 41 indexed citations

8.

Dearden, Richard, Nicolas Meuleau, Sailesh Ramakrishnan, et al.. (2002). Contingency Planning for Planetary Rovers. NASA STI Repository (National Aeronautics and Space Administration). 13 indexed citations

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.

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