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.
HadoopDB
2009538 citationsDaniel J. Abadi, Avi Silberschatz et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Avi Silberschatz
Since
Specialization
Citations
This map shows the geographic impact of Avi Silberschatz'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 Avi Silberschatz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avi Silberschatz more than expected).
Fields of papers citing papers by Avi Silberschatz
This network shows the impact of papers produced by Avi Silberschatz. 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 Avi Silberschatz. The network helps show where Avi Silberschatz may publish in the future.
Co-authorship network of co-authors of Avi Silberschatz
This figure shows the co-authorship network connecting the top 25 collaborators of Avi Silberschatz.
A scholar is included among the top collaborators of Avi Silberschatz 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 Avi Silberschatz. Avi Silberschatz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gabber, Eran, Christopher Small, John Bruno, José Carlos Brustoloni, & Avi Silberschatz. (1999). The pebble component-based operating system. USENIX Annual Technical Conference. 20–20.61 indexed citations
4.
Silberschatz, Avi & Alexander Tuzhilin. (1996). A BELIEF-DRIVEN DISCOVERY FRAMEWORK BASED ON DATA MONITORING AND TRIGGERING. The Faculty Digital Archive (New York University).9 indexed citations
Silberschatz, Avi & Alexander Tuzhilin. (1995). On subjective measures of interestingness in knowledge discovery. Knowledge Discovery and Data Mining. 275–281.194 indexed citations
8.
Nicholas, Charles, et al.. (1995). Proceedings of the fourth international conference on Information and knowledge management.6 indexed citations
Silberschatz, Avi, et al.. (1983). A Family of Multi-version Locking Protocols with No Rollbacks.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.