Charles L. Forgy
- Software top 2%
- Artificial Intelligence top 0.5%
- AI-based Problem Solving and Planning 8
- Machine Learning and Algorithms 3
- Semantic Web and Ontologies 2
- Algorithms and Data Compression 2
- Information Systems top 1%
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 2
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- Manufacturing Process and Optimization 4
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- Business Process Modeling and Analysis 2
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- Reservoir Engineering and Simulation Methods 2
- Journals
- ACM SIGPLAN Notices (1 paper)Artificial Intelligence (1 paper)ACM Transactions on Computer Systems (1 paper)
- Partner nations
- United States
In The Last Decade
Charles L. Forgy
16 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Software 192
- Artificial Intelligence 1.4k
- Computer Networks and Communications 804
- Information Systems 506
- Hardware and Architecture 133
Countries citing papers authored by Charles L. Forgy
This map shows the geographic impact of Charles L. Forgy'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 Charles L. Forgy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles L. Forgy more than expected).
Fields of papers citing papers by Charles L. Forgy
This network shows the impact of papers produced by Charles L. Forgy. 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 Charles L. Forgy. The network helps show where Charles L. Forgy may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Charles L. Forgy, 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 | 2018 | 1 | |
| 2 | Soar/PSM-E: investigating match parallelism in a learning production system | 1993 | 0 |
| 3 | 1989 | 36 | |
| 4 | 1989 | 7 | |
| 5 | Parallel OPS5 on the Encore Multimax. | 1988 | 28 |
| 6 | 1988 | 2 | |
| 7 | 1988 | 29 | |
| 8 | 1988 | 22 | |
| 9 | Rete: a fast match algorithm | 1987 | 10 |
| 10 | 1986 | 65 | |
| 11 | Initial assessment of architectures for production systems | 1984 | 35 |
| 12 | The OPS83 report | 1984 | 31 |
| 13 | Rete: A fast algorithm for the many pattern/many object pattern match problembreakdown → | 1982 | 1537 |
| 14 | OPS4 user's manual | 1979 | 7 |
| 15 | On the efficient implementation of production systems. | 1979 | 135 |
| 16 | OPS: a domain-independent production system language | 1977 | 97 |
| 17 | 1977 | 53 |
About Charles L. Forgy
Charles L. Forgy is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Hardware and Architecture, having authored 17 papers that have together received 2.1k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (8 papers), Manufacturing Process and Optimization (4 papers), Machine Learning and Algorithms (3 papers), Parallel Computing and Optimization Techniques (2 papers), Semantic Web and Ontologies (2 papers), Business Process Modeling and Analysis (2 papers), Reservoir Engineering and Simulation Methods (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Software (192 citations), Artificial Intelligence (1.4k citations) and Computer Networks and Communications (804 citations). Charles L. Forgy has collaborated with scholars based in United States. Frequent co-authors include John McDermott, Allen Newell, Anoop Gupta, Aman Gupta, Milind Tambe and Arjun K. Gupta. Their work appears in journals such as ACM SIGPLAN Notices, Artificial Intelligence, ACM Transactions on Computer Systems, Journal of Parallel and Distributed Computing and International Journal of Parallel Programming.
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.