P. Sreenivasa Kumar
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Signal Processing top 10%
- Geography, Planning and Development top 10%
- Co-authors
- Vinu E. VenugopalV. SridharC. Ravindranath ChowdaryB. Rajasekhar ReddyKalika PrasadV. GayathriDeepak KhemaniKanniyappan Parthasarathy
- Topics
- Semantic Web and Ontologies (21 papers)Advanced Database Systems and Queries (9 papers)Data Management and Algorithms (8 papers)
- Partner nations
- IndiaLuxembourg
In The Last Decade
P. Sreenivasa Kumar
33 papers receiving 193 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 125
- Computer Networks and Communications 94
- Information Systems 80
- Signal Processing 66
- Geography, Planning and Development 19
Countries citing papers authored by P. Sreenivasa Kumar
This map shows the geographic impact of P. Sreenivasa Kumar'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 P. Sreenivasa Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Sreenivasa Kumar more than expected).
Fields of papers citing papers by P. Sreenivasa Kumar
This network shows the impact of papers produced by P. Sreenivasa Kumar. 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 P. Sreenivasa Kumar. The network helps show where P. Sreenivasa Kumar may publish in the future.
Co-authorship network of co-authors of P. Sreenivasa Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of P. Sreenivasa Kumar. A scholar is included among the top collaborators of P. Sreenivasa Kumar 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 P. Sreenivasa Kumar. P. Sreenivasa Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 16 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | Finding skylines for incomplete data | 27 |
| 9 | 5 | |
| 10 | Efficient approximate SPARQL querying of web of linked data | 6 |
| 11 | 2 | |
| 12 | A Simple and Scalable Filter for XML Streams. | 1 |
| 13 | Update Summarizer Using MMR Approach. | 1 |
| 14 | Efficient Evaluation of Forward XPath Axes over XML Streams. | 5 |
| 15 | QueSTS: A Query Specific Text Summarization System. | 6 |
| 16 | An Incremental Summary Generation System | 1 |
| 17 | 1 | |
| 18 | 1 | |
| 19 | Efficient Handling of Sibling Axis in Xpath. | 3 |
| 20 | 1 |
About P. Sreenivasa Kumar
P. Sreenivasa Kumar is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 35 papers that have together received 209 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (21 papers), Advanced Database Systems and Queries (9 papers) and Data Management and Algorithms (8 papers). The work is most often cited by research in Signal Processing (66 citations), Computer Networks and Communications (94 citations) and Artificial Intelligence (125 citations). P. Sreenivasa Kumar has collaborated with scholars based in India and Luxembourg. Frequent co-authors include Vinu E. Venugopal, V. Sridhar, C. Ravindranath Chowdary, B. Rajasekhar Reddy, Kalika Prasad, V. Gayathri, Deepak Khemani, Kanniyappan Parthasarathy and Venkatesh Raman. Their work appears in journals such as Knowledge and Information Systems, AI Magazine and Semantic Web.
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.