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.
Dynamic itemset counting and implication rules for market basket data
19971.2k citationsSergey Brin, Rajeev Motwani et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Shalom Tsur⋆'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 Shalom Tsur⋆ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shalom Tsur⋆ more than expected).
This network shows the impact of papers produced by Shalom Tsur⋆. 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 Shalom Tsur⋆. The network helps show where Shalom Tsur⋆ may publish in the future.
Co-authorship network of co-authors of Shalom Tsur⋆
This figure shows the co-authorship network connecting the top 25 collaborators of Shalom Tsur⋆.
A scholar is included among the top collaborators of Shalom Tsur⋆ 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 Shalom Tsur⋆. Shalom Tsur⋆ 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.
Tsur⋆, Shalom, Serge Abiteboul, Rakesh Agrawal, et al.. (2001). Are Web Services the Next Revolution in e-Commerce? (Panel). Max Planck Institute for Plasma Physics. 614–617.5 indexed citations
2.
Tsur⋆, Shalom. (2000). Data Mining in the Bioinformatics Domain. Very Large Data Bases. 711–714.6 indexed citations
3.
Pinter, Ron Y. & Shalom Tsur⋆. (1999). Proceedings of the 4th International Workshop on Next Generation Information Technologies and Systems.2 indexed citations
Tsur⋆, Shalom, et al.. (1990). System Analysis for Deductive Database Environments: An Enhanced Role for Aggregate Entities.. 129–142.3 indexed citations
11.
Shmueli, Oded & Shalom Tsur⋆. (1990). Incremental re-evaluation of LDL queries. International Conference on Lightning Protection. 99–111.1 indexed citations
12.
Gamboa, Ruben, et al.. (1990). The LDL system prototype. IEEE Transactions on Knowledge and Data Engineering. 2(1). 76–90.100 indexed citations
Shmueli, Oded, Shalom Tsur⋆, & Carlo Zaniolo. (1988). Rewriting of Rules Containing Set Terms in a Logic Data Model (LDL).. 23(2). 15–28.1 indexed citations
15.
O’Hare, Anthony, et al.. (1987). An Overview of the LDL System.. IEEE Data(base) Engineering Bulletin. 10. 52–62.16 indexed citations
16.
Tsur⋆, Shalom & Carlo Zaniolo. (1986). LDL: A Logic-Based Data Language. Very Large Data Bases. 33–41.85 indexed citations
17.
Tsur⋆, Shalom & Carlo Zaniolo. (1984). An implementation of GEM. ACM SIGMOD Record. 14(2). 286–295.11 indexed citations
Mitrani, Isi, et al.. (1976). The Use of Memory Allocation to Control Response Times in Paged Computer Systems with Different Job Classes. International Symposium on Computer Modeling, Measurement and Evaluation. 201–216.1 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.