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.
Access path selection in a relational database management system
19791.4k citationsPatricia G. Selinger, M. M. Astrahan et al.profile →
System R
1976680 citationsM. M. Astrahan, Donald D. Chamberlin et al.ACM Transactions on Database Systemsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Donald D. Chamberlin
Since
Specialization
Citations
This map shows the geographic impact of Donald D. Chamberlin'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 Donald D. Chamberlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald D. Chamberlin more than expected).
Fields of papers citing papers by Donald D. Chamberlin
This network shows the impact of papers produced by Donald D. Chamberlin. 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 Donald D. Chamberlin. The network helps show where Donald D. Chamberlin may publish in the future.
Co-authorship network of co-authors of Donald D. Chamberlin
This figure shows the co-authorship network connecting the top 25 collaborators of Donald D. Chamberlin.
A scholar is included among the top collaborators of Donald D. Chamberlin 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 Donald D. Chamberlin. Donald D. Chamberlin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Carey, Michael J., et al.. (2024). SQL++: We Can Finally Relax!. eScholarship (California Digital Library). 5501–5510.
2.
Chamberlin, Donald D.. (2012). Early History of SQL. IEEE Annals of the History of Computing. 34(4). 78–82.15 indexed citations
3.
Carey, Michael J., Donald D. Chamberlin, Mary Fernández, et al.. (2006). XQueryP: An XML application development language. CINECA IRIS Institutial research information system (University of Pisa). 113(13). 553–5.3 indexed citations
4.
Chamberlin, Donald D.. (2006). XQuery: Where Do We Go From Here?.2 indexed citations
5.
Beyer, Kevin, Donald D. Chamberlin, Latha S. Colby, et al.. (2005). Extending XQuery for analytics. 503–514.46 indexed citations
Carey, Michael J., et al.. (1999). O-O, What Have They Done to DB2?. Very Large Data Bases. 542–553.7 indexed citations
11.
Chamberlin, Donald D. & Frank Schmuck. (1992). Dynamic Data Distribution (D3) in a Shared-Nothing Multiprocessor Data Store. Very Large Data Bases. 163–174.13 indexed citations
12.
Chamberlin, Donald D., et al.. (1988). Defining document styles for WYSIWYG processing. International Conference on Electronic Publishing. 121–137.9 indexed citations
Chamberlin, Donald D., et al.. (1974). A Deadlock-Free Scheme for Resource Locking in a Data-Base Environment.. IFIP Congress. 340–343.27 indexed citations
20.
Chamberlin, Donald D., et al.. (1973). A Page Allocation Strategy for Multiprogramming Systems with Virtual Memory.. 66–72.6 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.