Badrish Chandramouli

1.8k citations
68 papers · 1.1k indexed · h-index 18

Badrish Chandramouli

64 papers receiving 1.0k citations

Peers

Badrish Chandramouli
Comparison fields: 5 of 53
  • Computer Networks and Communications 855
  • Signal Processing 329
  • Information Systems 521
  • Hardware and Architecture 120
  • Information Systems and Management 110
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Badrish Chandramouli relative to Jonathan Goldstein United States Jonathan Goldstein's profile →
Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by Badrish Chandramouli

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Badrish Chandramouli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Badrish Chandramouli Line = papers co-authored together Badrish Chandramouli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20245
3 20241
4 20238
5 202115
6 20218
7 202115
8 202014
9 20186
10
The Quill Distributed Analytics Library and Platform
20161
11
Trill: Engineering a Library for Diverse Analytics.
201511
12 2014115
13 20136
14
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service.
201338
15 201221
16
Spatio-Temporal Stream Processing in Microsoft StreamInsight.
201027
17 201014
18
Value-based notification conditions in large-scale publish/subscribe systems?
200710
19 200726
20 20073

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), Cloud Computing and Resource Management (25 papers), Data Management and Algorithms (20 papers), Distributed systems and fault tolerance (16 papers), Scientific Computing and Data Management (13 papers), Caching and Content Delivery (10 papers) and Peer-to-Peer Network Technologies (5 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 Proceedings of the VLDB Endowment, ACM SIGMOD Record, Knowledge and Information Systems, The VLDB Journal and Computer.

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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