Souripriya Das
About
In The Last Decade
Souripriya Das
14 papers receiving 324 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 271
- Computer Networks and Communications 261
- Information Systems 134
- Signal Processing 108
- Computer Vision and Pattern Recognition 61
Countries citing papers authored by Souripriya Das
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
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
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Multi-model Query Processing Meets Category Theory and Functional Programming. | Very Large Data Bases | Jiaheng Lu, Dieter Gawlick et al. | 1 |
| 2 | MultiCategory | Proceedings of the VLDB Endowment | Jiaheng Lu, Dieter Gawlick et al. | 3 |
| 3 | Improving RDF Query Performance Using In-memory Virtual Columns in Oracle Database | Eugene Inseok Chong, Matthew Perry et al. | 3 | |
| 4 | Exploring Large RDF Datasets using a Faceted Search | International Semantic Web Conference | Jagannathan Srinivasan, Matthew Perry et al. | 1 |
| 5 | Developing GeoSPARQL Applications with Oracle Spatial and Graph. | Matthew Perry, Ana P. Estrada-Florez et al. | 3 | |
| 6 | A Tale of Two Graphs: Property Graphs as RDF in Oracle | Movebank | Souripriya Das, Jagannathan Srinivasan et al. | 32 |
| 7 | Making Unstructured Data SPARQL Using Semantic Indexing in Oracle Database | Souripriya Das, Matthew Perry et al. | 5 | |
| 8 | Visualizing large-scale RDF data using Subsets, Summaries, and Sampling in Oracle | Medha Atre, Vladimir Kolovski et al. | 7 | |
| 9 | A Scalable Scheme for Bulk Loading Large RDF Graphs into Oracle | Souripriya Das, Eugene Inseok Chong et al. | 7 | |
| 10 | Supporting table partitioning by reference in oracle | George Eadon, Eugene Inseok Chong et al. | 40 | |
| 11 | Implementing an Inference Engine for RDFS/OWL Constructs and User-Defined Rules in Oracle | Zhe Wu, George Eadon et al. | 68 | |
| 12 | An efficient SQL-based RDF querying scheme | Very Large Data Bases | Eugene Inseok Chong, Souripriya Das et al. | 177 |
| 13 | A mapping mechanism to support bitmap index and other auxiliary structures on tables stored as primary B + -trees | ACM SIGMOD Record | Eugene Inseok Chong, Jagannathan Srinivasan et al. | 3 |
| 14 | B/sup +/-tree indexes with hybrid row identifiers in Oracle8i | Eugene Inseok Chong, Souripriya Das et al. | 0 | |
| 15 | Oracle8i Index-Organized Table and Its Application to New Domains | Very Large Data Bases | Jagannathan Srinivasan, Souripriya Das et al. | 11 |
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.