R. J. Brachman
- Artificial Intelligence top 1%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Signal Processing top 10%
- Molecular Biology
- Co-authors
- James G. SchmolzeBruce W. BallardPrémkumar DévanbuPeter G. SelfridgeDeborah L. McGuinnessHector J. Levesque
- Topics
- AI-based Problem Solving and Planning (4 papers)Semantic Web and Ontologies (3 papers)Advanced Database Systems and Queries (1 paper)
- Journals
- Cognitive ScienceSAE technical papers on CD-ROM/SAE technical paper seriesIEEE Intelligent Systems
- Partner nations
- United StatesBritish Virgin IslandsIsrael
In The Last Decade
R. J. Brachman
8 papers receiving 835 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 910
- Computer Networks and Communications 254
- Information Systems 231
- Signal Processing 100
- Molecular Biology 90
Countries citing papers authored by R. J. Brachman
This map shows the geographic impact of R. J. Brachman'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 R. J. Brachman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. J. Brachman more than expected).
Fields of papers citing papers by R. J. Brachman
This network shows the impact of papers produced by R. J. Brachman. 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 R. J. Brachman. The network helps show where R. J. Brachman may publish in the future.
Co-authorship network of co-authors of R. J. Brachman
This figure shows the co-authorship network connecting the top 25 collaborators of R. J. Brachman. A scholar is included among the top collaborators of R. J. Brachman 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 R. J. Brachman. R. J. Brachman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 57 | |
| 3 | 23 | |
| 4 | 52 | |
| 5 | 19 | |
| 6 | An overview of the KL-ONE Knowledge Representation Systembreakdown → | 898 |
| 7 | What Makes a Knowledge Base Knowledgeable? A View of Databases from the Knowledge Level. | 10 |
| 8 | 1 |
About R. J. Brachman
R. J. Brachman is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computational Theory and Mathematics, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (4 papers), Semantic Web and Ontologies (3 papers) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Artificial Intelligence (910 citations), Software (63 citations) and Computer Networks and Communications (254 citations). R. J. Brachman has collaborated with scholars based in United States, British Virgin Islands and Israel. Frequent co-authors include James G. Schmolze, Bruce W. Ballard, Prémkumar Dévanbu, Peter G. Selfridge, Deborah L. McGuinness and Hector J. Levesque. Their work appears in journals such as Cognitive Science, SAE technical papers on CD-ROM/SAE technical paper series and IEEE Intelligent Systems.
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.