Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Ronald J. Brachman
Since
Specialization
Citations
This map shows the geographic impact of Ronald 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 Ronald 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 Ronald J. Brachman more than expected).
Fields of papers citing papers by Ronald J. Brachman
This network shows the impact of papers produced by Ronald 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 Ronald J. Brachman. The network helps show where Ronald J. Brachman may publish in the future.
Co-authorship network of co-authors of Ronald J. Brachman
This figure shows the co-authorship network connecting the top 25 collaborators of Ronald J. Brachman.
A scholar is included among the top collaborators of Ronald 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 Ronald J. Brachman. Ronald J. Brachman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Brachman, Ronald J., et al.. (1996). The process of knowledge discovery in databases. Knowledge Discovery and Data Mining. 37–57.77 indexed citations
4.
Brachman, Ronald J.. (1992). "Reducing" CLASSIC to Practice: Knowledge Representation Theory Meets Reality.. Principles of Knowledge Representation and Reasoning. 247–258.15 indexed citations
5.
Brachman, Ronald J., Alexander Borgida, Deborah L. McGuinness, Peter F. Patel‐Schneider, & Lori Alperin Resnick. (1992). The CLASSIC Knowledge Representation System or, KL-ONE: The Next Generation.. Future Generation Computer Systems. 1036–1043.11 indexed citations
6.
Allen, James F., Ronald J. Brachman, Erik Sandewall, et al.. (1991). Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning. Morgan Kaufmann Publishers Inc. eBooks.53 indexed citations
7.
Poesio, Massimo & Ronald J. Brachman. (1991). Metric constraints for maintaining appointments: dates and repeated activities. Institutional Research Information System (Università degli Studi di Trento). 253–259.13 indexed citations
8.
Brachman, Ronald J., James F. Allen, Henry Kautz, Richard N. Pelavin, & Josh Tenenberg. (1991). Reasoning About Plans. Medical Entomology and Zoology.167 indexed citations
9.
Brachman, Ronald J.. (1990). The future of knowledge representation. National Conference on Artificial Intelligence. 1082–1092.15 indexed citations
10.
Dévanbu, Prémkumar, Peter G. Selfridge, Bruce W. Ballard, & Ronald J. Brachman. (1989). A knowledge-based software information system. International Joint Conference on Artificial Intelligence. 110–115.22 indexed citations
11.
Etherington, David W., Alex Borgida, Ronald J. Brachman, & Henry Kautz. (1989). Vivid knowledge and tractable reasoning. International Joint Conference on Artificial Intelligence. 1146–1152.20 indexed citations
12.
Borgida, Alexander, Ronald J. Brachman, Deborah L. McGuinness, & Lori Alperin Resnick. (1989). CLASSIC: a structural data model for objects. ACM SIGMOD Record. 18(2). 58–67.328 indexed citations
13.
Brachman, Ronald J. & Hector J. Levesque. (1986). The knowledge level of KBMS. Springer eBooks. 9–12.2 indexed citations
Brachman, Ronald J. & Hector J. Levesque. (1984). The tractability of subsumption in frame-based description languages. National Conference on Artificial Intelligence. 34–37.184 indexed citations
16.
Brachman, Ronald J.. (1983). Research at Fairchild. AI Magazine. 4(1). 45–45.2 indexed citations
17.
Brachman, Ronald J., Richard Fikes, & Hector J. Levesque. (1983). KRYPTON: integrating terminology and assertion. National Conference on Artificial Intelligence. 31–35.32 indexed citations
Brachman, Ronald J. & Hector J. Levesque. (1982). Competence in knowledge representation. National Conference on Artificial Intelligence. 189–192.30 indexed citations
20.
Schmolze, James G. & Ronald J. Brachman. (1982). Proceedings of the 1981 KL-ONE Workshop,. Defense Technical Information Center (DTIC).18 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.