Subbu N. Subramanian
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Information Systems top 5%
- Management Science and Operations Research
- Co-authors
- Laks V. S. LakshmananEugene J. ShekitaJayavel ShanmugasundaramMichael J. CareyFereidoon SadriShivakumar VenkataramanJerry KiernanZachary G. Ives
- Topics
- Advanced Database Systems and Queries (8 papers)Data Management and Algorithms (7 papers)Semantic Web and Ontologies (5 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Subbu N. Subramanian
12 papers receiving 311 citations
Peers
Comparison fields: 5 of 23
- Computer Networks and Communications 332
- Artificial Intelligence 235
- Signal Processing 189
- Information Systems 107
- Management Science and Operations Research 25
Countries citing papers authored by Subbu N. Subramanian
This map shows the geographic impact of Subbu N. Subramanian'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 Subbu N. Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subbu N. Subramanian more than expected).
Fields of papers citing papers by Subbu N. Subramanian
This network shows the impact of papers produced by Subbu N. Subramanian. 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 Subbu N. Subramanian. The network helps show where Subbu N. Subramanian may publish in the future.
Co-authorship network of co-authors of Subbu N. Subramanian
This figure shows the co-authorship network connecting the top 25 collaborators of Subbu N. Subramanian. A scholar is included among the top collaborators of Subbu N. Subramanian 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 Subbu N. Subramanian. Subbu N. Subramanian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | On Engineering Web-based Enterprise Applications. | 1 |
| 7 | Tavant System Architecture for Sell-side Channel Management | 0 |
| 8 | 54 | |
| 9 | XPERANTO: Middleware for Publishing Object-Relational Data as XML Documents | 83 |
| 10 | XPERANTO: Publishing Object-Relational Data as XML. | 90 |
| 11 | On Efficiently Implementing SchemaSQL on an SQL Database System | 29 |
| 12 | On Query Spreadsheets | 6 |
| 13 | 32 | |
| 14 | 6 |
About Subbu N. Subramanian
Subbu N. Subramanian is a scholar working on Signal Processing, Computer Networks and Communications and Software, having authored 14 papers that have together received 365 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (8 papers), Data Management and Algorithms (7 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Signal Processing (189 citations), Computer Networks and Communications (332 citations) and Artificial Intelligence (235 citations). Subbu N. Subramanian has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Laks V. S. Lakshmanan, Eugene J. Shekita, Jayavel Shanmugasundaram, Michael J. Carey, Fereidoon Sadri, Shivakumar Venkataraman, Jerry Kiernan, Zachary G. Ives, Daniela Florescu and Ying Lü. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and ACM Transactions on Database Systems.
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.