Souripriya Das

702 total citations
15 papers, 361 citations indexed

About

Souripriya Das is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Souripriya Das has authored 15 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Souripriya Das's work include Semantic Web and Ontologies (11 papers), Advanced Database Systems and Queries (11 papers) and Data Management and Algorithms (5 papers). Souripriya Das is often cited by papers focused on Semantic Web and Ontologies (11 papers), Advanced Database Systems and Queries (11 papers) and Data Management and Algorithms (5 papers). Souripriya Das collaborates with scholars based in United States and Finland. Souripriya Das's co-authors include Eugene Inseok Chong, Jagannathan Srinivasan, George Eadon, Zhe Wu, Vladimir Kolovski, Matthew Perry, Jayanta Banerjee, Medha Atre, Jiaheng Lu and Ana P. Estrada-Florez and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and Very Large Data Bases.

In The Last Decade

Souripriya Das

14 papers receiving 324 citations

Peers

Souripriya Das
Eugene Inseok Chong United States
George Eadon United States
Jacopo Urbani Netherlands
Michalis Petropoulos United States
Alexander Behm United States
Wangchao Le United States
Kaustubh Deshmukh United States
Egor V. Kostylev United Kingdom
Zoi Kaoudi Germany
Eugene Inseok Chong United States
Souripriya Das
Citations per year, relative to Souripriya Das Souripriya Das (= 1×) peers Eugene Inseok Chong

Countries citing papers authored by Souripriya Das

Since Specialization
Citations

This map shows the geographic impact of Souripriya Das'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 Souripriya Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Souripriya Das more than expected).

Fields of papers citing papers by Souripriya Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Souripriya Das. 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 Souripriya Das. The network helps show where Souripriya Das may publish in the future.

Co-authorship network of co-authors of Souripriya Das

This figure shows the co-authorship network connecting the top 25 collaborators of Souripriya Das. A scholar is included among the top collaborators of Souripriya Das 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 Souripriya Das. Souripriya Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Lu, Jiaheng, et al.. (2021). Multi-model Query Processing Meets Category Theory and Functional Programming.. Very Large Data Bases. 48–49. 1 indexed citations
2.
Lu, Jiaheng, et al.. (2021). MultiCategory. Proceedings of the VLDB Endowment. 14(12). 2663–2666. 3 indexed citations
3.
Chong, Eugene Inseok, Matthew Perry, & Souripriya Das. (2019). Improving RDF Query Performance Using In-memory Virtual Columns in Oracle Database. 35. 1814–1819. 3 indexed citations
4.
Srinivasan, Jagannathan, et al.. (2015). Exploring Large RDF Datasets using a Faceted Search. International Semantic Web Conference. 1 indexed citations
5.
Perry, Matthew, Ana P. Estrada-Florez, Souripriya Das, & Jayanta Banerjee. (2015). Developing GeoSPARQL Applications with Oracle Spatial and Graph.. 57–61. 3 indexed citations
6.
Das, Souripriya, Jagannathan Srinivasan, Matthew Perry, Eugene Inseok Chong, & Jayanta Banerjee. (2014). A Tale of Two Graphs: Property Graphs as RDF in Oracle. Movebank. 762–773. 32 indexed citations
7.
Das, Souripriya, et al.. (2012). Making Unstructured Data SPARQL Using Semantic Indexing in Oracle Database. 1405–1416. 5 indexed citations
8.
Atre, Medha, Vladimir Kolovski, Souripriya Das, et al.. (2010). Visualizing large-scale RDF data using Subsets, Summaries, and Sampling in Oracle. 1048–1059. 7 indexed citations
9.
Das, Souripriya, et al.. (2008). A Scalable Scheme for Bulk Loading Large RDF Graphs into Oracle. 1297–1306. 7 indexed citations
10.
Eadon, George, et al.. (2008). Supporting table partitioning by reference in oracle. 1111–1122. 40 indexed citations
11.
Wu, Zhe, George Eadon, Souripriya Das, et al.. (2008). Implementing an Inference Engine for RDFS/OWL Constructs and User-Defined Rules in Oracle. 1239–1248. 68 indexed citations
12.
Chong, Eugene Inseok, Souripriya Das, George Eadon, & Jagannathan Srinivasan. (2005). An efficient SQL-based RDF querying scheme. Very Large Data Bases. 1216–1227. 177 indexed citations
13.
Chong, Eugene Inseok, et al.. (2003). A mapping mechanism to support bitmap index and other auxiliary structures on tables stored as primary B + -trees. ACM SIGMOD Record. 32(2). 78–88. 3 indexed citations
14.
Chong, Eugene Inseok, et al.. (2002). B/sup +/-tree indexes with hybrid row identifiers in Oracle8i. 359. 341–348.
15.
Srinivasan, Jagannathan, et al.. (2000). Oracle8i Index-Organized Table and Its Application to New Domains. Very Large Data Bases. 285–296. 11 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.

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