Badrish Chandramouli
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Jonathan GoldsteinMike BarnettDonald KossmannJustin J. LevandoskiJun YangSongyun DuanRobert DeLineDanyel Fisher
- Topics
- Advanced Database Systems and Queries (33 papers)Advanced Data Storage Technologies (25 papers)Cloud Computing and Resource Management (25 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Badrish Chandramouli
64 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 53
- Computer Networks and Communications 855
- Information Systems 521
- Signal Processing 329
- Artificial Intelligence 289
- Computer Vision and Pattern Recognition 144
Countries citing papers authored by Badrish Chandramouli
This map shows the geographic impact of Badrish Chandramouli'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 Badrish Chandramouli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Badrish Chandramouli more than expected).
Fields of papers citing papers by Badrish Chandramouli
This network shows the impact of papers produced by Badrish Chandramouli. 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 Badrish Chandramouli. The network helps show where Badrish Chandramouli may publish in the future.
Co-authorship network of co-authors of Badrish Chandramouli
This figure shows the co-authorship network connecting the top 25 collaborators of Badrish Chandramouli. A scholar is included among the top collaborators of Badrish Chandramouli 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 Badrish Chandramouli. Badrish Chandramouli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 15 | |
| 6 | 8 | |
| 7 | 15 | |
| 8 | 14 | |
| 9 | 6 | |
| 10 | The Quill Distributed Analytics Library and Platform | 1 |
| 11 | Trill: Engineering a Library for Diverse Analytics. | 11 |
| 12 | 115 | |
| 13 | 6 | |
| 14 | SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service. | 38 |
| 15 | 21 | |
| 16 | Spatio-Temporal Stream Processing in Microsoft StreamInsight. | 27 |
| 17 | 14 | |
| 18 | Value-based notification conditions in large-scale publish/subscribe systems? | 10 |
| 19 | 26 | |
| 20 | 3 |
About Badrish Chandramouli
Badrish Chandramouli is a scholar working on Computer Networks and Communications, Information Systems and Management and Signal Processing, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (33 papers), Advanced Data Storage Technologies (25 papers) and Cloud Computing and Resource Management (25 papers). The work is most often cited by research in Computer Networks and Communications (855 citations), Signal Processing (329 citations) and Information Systems (521 citations). Badrish Chandramouli has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Jonathan Goldstein, Mike Barnett, Donald Kossmann, Justin J. Levandoski, Jun Yang, Songyun Duan, Robert DeLine, Danyel Fisher, John Platt and David Maier. Their work appears in journals such as Computer, Proceedings of the VLDB Endowment and ACM SIGMOD Record.
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.