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.
A critique of ANSI SQL isolation levels
1995493 citationsJim Melton, Elizabeth O’Neil et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Jim Melton'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 Jim Melton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Melton more than expected).
This network shows the impact of papers produced by Jim Melton. 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 Jim Melton. The network helps show where Jim Melton may publish in the future.
Co-authorship network of co-authors of Jim Melton
This figure shows the co-authorship network connecting the top 25 collaborators of Jim Melton.
A scholar is included among the top collaborators of Jim Melton 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 Jim Melton. Jim Melton 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.
Teorey, Toby J., Terry Halpin, W.H. Inmon, et al.. (2008). Database Design: Know It All. Medical Entomology and Zoology. 2(11). 2866–80.7 indexed citations
2.
Malhotra, Ashok & Jim Melton. (2008). Progress report from the RDB2RDF XG. International Semantic Web Conference. 27(1). 5–7.1 indexed citations
3.
Melton, Jim, et al.. (2006). Querying XML,: XQuery, XPath, and SQL/XML in context (The Morgan Kaufmann Series in Data Management Systems) (The Morgan Kaufmann Series in Data Management Systems). Morgan Kaufmann Publishers Inc. eBooks.14 indexed citations
4.
Melton, Jim, et al.. (2006). Querying XML: XQuery, XPath, and SQL/XML in context. CERN Document Server (European Organization for Nuclear Research).16 indexed citations
Eisenberg, Andrew & Jim Melton. (2002). SQL/XML is making good progress. ACM SIGMOD Record. 31(2). 101–108.39 indexed citations
10.
Eisenberg, Andrew & Jim Melton. (2001). SQL/XML and the SQLX Informal Group of Companies.. International Conference on Management of Data. 30. 105–108.11 indexed citations
Melton, Jim. (1994). Object Technology and SQL: Adding Objects to a Relational Language.. IEEE Data(base) Engineering Bulletin. 17. 15–26.
18.
Melton, Jim, et al.. (1993). Character internationalization in databases: a case study. 5(3). 80–96.
19.
Melton, Jim & Alan R. Simon. (1993). Understanding the New SQL: A Complete Guide. Medical Entomology and Zoology.185 indexed citations
20.
Kulkarni, Krishna, et al.. (1991). ADT-based Type System for SQL.. 3–33.2 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.