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.
Holistic twig joins
2002495 citationsNick Koudas, Divesh Srivastava 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 Divesh Srivastava
Since
Specialization
Citations
This map shows the geographic impact of Divesh Srivastava'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 Divesh Srivastava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divesh Srivastava more than expected).
Fields of papers citing papers by Divesh Srivastava
This network shows the impact of papers produced by Divesh Srivastava. 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 Divesh Srivastava. The network helps show where Divesh Srivastava may publish in the future.
Co-authorship network of co-authors of Divesh Srivastava
This figure shows the co-authorship network connecting the top 25 collaborators of Divesh Srivastava.
A scholar is included among the top collaborators of Divesh Srivastava 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 Divesh Srivastava. Divesh Srivastava is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dasu, Tamraparni, et al.. (2021). Fraud Buster: Tracking IRSF Using Blockchain While Protecting Business Confidentiality.. Conference on Innovative Data Systems Research.1 indexed citations
6.
Barbosa, Luciano, Valter Crescenzi, Xin Dong, et al.. (2018). Big Data Integration for Product Specifications.. Iris (Roma Tre University). 41(2). 71–81.1 indexed citations
7.
Zhang, Jun, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, & Xiaokui Xiao. (2017). PrivBayes. ACM Transactions on Database Systems. 42(4). 1–41.212 indexed citations
8.
Dasu, Tamraparni, Rong Duan, & Divesh Srivastava. (2016). Data Quality for Temporal Streams.. IEEE Data(base) Engineering Bulletin. 39. 78–92.8 indexed citations
9.
Golab, Lukasz, Flip Korn, & Divesh Srivastava. (2011). Efficient and Effective Analysis of Data Quality using Pattern Tableaux.. IEEE Data(base) Engineering Bulletin. 34. 26–33.15 indexed citations
10.
Zhang, Qing, Nick Koudas, Divesh Srivastava, & Ting Yu. (2007). Aggregate Query Answering on Anonymized Tables. NCSU Libraries Repository (North Carolina State University Libraries). 116–125.225 indexed citations
11.
Amer-Yahia, Sihem, Nick Koudas, Amélie Marian, Divesh Srivastava, & David Toman. (2005). Structure and content scoring for XML. Very Large Data Bases. 361–372.82 indexed citations
Jagadish, H. V., et al.. (1999). Multi-Dimensional Substring Selectivity Estimation. Very Large Data Bases. 387–398.15 indexed citations
14.
Srivastava, Divesh, et al.. (1999). The Data Warehouse of Newsgroups.
15.
Lakshmanan, Laks V. S. & Divesh Srivastava. (1999). Revisiting the Hierarchical Data Model (Special Issue on New Generation Database Technologies). IEICE Transactions on Information and Systems. 82(1). 3–12.
16.
Ross, Kenneth A. & Divesh Srivastava. (1997). Fast Computation of Sparse Datacubes. Very Large Data Bases. 116–125.134 indexed citations
17.
Dar, Shaul, Michael J. Franklin, Björn Þór Jónsson, Divesh Srivastava, & Michael Tan. (1996). Semantic Data Caching and Replacement. Very Large Data Bases. 330–341.315 indexed citations
18.
Ramakrishnan, Raghu & Divesh Srivastava. (1994). Fault Tolerance Issues in Data Declustering for Parallel Database Systems.. IEEE Data(base) Engineering Bulletin. 17. 14–17.5 indexed citations
19.
Srivastava, Divesh, Raghu Ramakrishnan, Praveen Seshadri, & S. Sudarshan. (1993). Coral++: Adding Object-Orientation to a Logic Database Language. Very Large Data Bases. 158–170.30 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.