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.
Countries citing papers authored by Shamkant B. Navathe
Since
Specialization
Citations
This map shows the geographic impact of Shamkant B. Navathe'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 Shamkant B. Navathe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shamkant B. Navathe more than expected).
Fields of papers citing papers by Shamkant B. Navathe
This network shows the impact of papers produced by Shamkant B. Navathe. 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 Shamkant B. Navathe. The network helps show where Shamkant B. Navathe may publish in the future.
Co-authorship network of co-authors of Shamkant B. Navathe
This figure shows the co-authorship network connecting the top 25 collaborators of Shamkant B. Navathe.
A scholar is included among the top collaborators of Shamkant B. Navathe 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 Shamkant B. Navathe. Shamkant B. Navathe 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.
Farahmand, Fariborz, Shamkant B. Navathe, Gunter P. Sharp, & Philip H. Enslow. (2005). Assessing Damages of Information Security Incidents and Selecting Control Measures, a Case Study Approach..9 indexed citations
2.
Prasad, Sushil K., Anu G. Bourgeois, Erdoğan Doğdu, et al.. (2004). A Framework for Constraint-Based Collaborative Web Service Applications and A Travel Application Case Study.. International Conference on Internet Computing. 866–872.5 indexed citations
Elmasri, Ramez & Shamkant B. Navathe. (1994). Fundamentals of database systems (2nd ed.).104 indexed citations
11.
Chakravarthy, Sharma, et al.. (1993). Relational schema integration: dealing with inter-relation correspondences and querying over component relations. 6(3). 319–352.2 indexed citations
12.
Navathe, Shamkant B., et al.. (1991). A Transaction Architecture for a General Purpose Semantic Data Model.. 511–541.1 indexed citations
13.
Navathe, Shamkant B., et al.. (1990). Conceptual Design for Non-Database Experts with an Interactive Schema Tailoring Tool.. 3–20.2 indexed citations
14.
Navathe, Shamkant B. & Rafi Ahmed. (1988). Temporal Aspects of Version Management.. IEEE Data(base) Engineering Bulletin. 11. 34–37.2 indexed citations
15.
Whang, Kyu-Young & Shamkant B. Navathe. (1987). An Extended Disjunctive Normal Form Approach for Optimizing Recursive Logic Queries in Loosely Coupled Environments. Very Large Data Bases. 275–287.5 indexed citations
16.
Navathe, Shamkant B., et al.. (1987). Abstracting Relational and Hierarchical Data with a Semantic Data Model. 305–333.57 indexed citations
17.
Navathe, Shamkant B., et al.. (1984). Relationship Merging in Schema Integration. Very Large Data Bases. 78–90.36 indexed citations
18.
Navathe, Shamkant B. & Albert M. K. Cheng. (1983). A Methodology for Database Schema Mapping from Extended Entity-Relationship Models into the Hierarchical Model.. 223–248.12 indexed citations
19.
Navathe, Shamkant B., et al.. (1982). A Methodology for View Inegration in Logical Database Design. Very Large Data Bases. 142–164.31 indexed citations
20.
Navathe, Shamkant B.. (1980). An intuitive approach to normalize network structured data. Very Large Data Bases. 350–358.12 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.