Chinya V. Ravishankar

2.7k citations
91 papers · 1.7k indexed · h-index 21
Topics
Data Management and Algorithms (24 papers)Advanced Database Systems and Queries (15 papers)Distributed systems and fault tolerance (14 papers)

In The Last Decade

Chinya V. Ravishankar

88 papers receiving 1.5k citations

Peers

Chinya V. Ravishankar
Comparison fields: 5 of 77
  • Computer Networks and Communications 1.2k
  • Signal Processing 528
  • Artificial Intelligence 370
  • Electrical and Electronic Engineering 272
  • Information Systems 258
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Chinya V. Ravishankar relative to Thomas Willhalm Germany Thomas Willhalm's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chinya V. Ravishankar

Since Specialization
Citations

This map shows the geographic impact of Chinya V. Ravishankar'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 Chinya V. Ravishankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chinya V. Ravishankar more than expected).

Fields of papers citing papers by Chinya V. Ravishankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chinya V. Ravishankar. 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 Chinya V. Ravishankar. The network helps show where Chinya V. Ravishankar may publish in the future.

Co-authorship network of co-authors of Chinya V. Ravishankar

This figure shows the co-authorship network connecting the top 25 collaborators of Chinya V. Ravishankar. A scholar is included among the top collaborators of Chinya V. Ravishankar 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 Chinya V. Ravishankar. Chinya V. Ravishankar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 1
4
Genetic Algorithm-Based Adaptive Clustering Protocol in Wireless Sensor Networks
2
5 19
6 7
7
OM: A Tunable Framework for Optimizing Continuous Queries over Data Streams.
1
8 3
9
Client assignment in content dissemination networks for dynamic data
8
10 1
11 7
12 0
13 4
14 65
15
A Preliminary Study of Genetic Data Compression
2
16
Monitoring and debugging distributed real-time programs
7
17
A Tuple Model for Summary Data Management .
1
18 25
19
A concurrency control protocol for nested transactions
1
20
Name space models for locating services
3

About Chinya V. Ravishankar

Chinya V. Ravishankar is a scholar working on Computer Networks and Communications, Signal Processing and Hardware and Architecture, having authored 91 papers that have together received 1.7k indexed citations. Recurring topics across this work include Data Management and Algorithms (24 papers), Advanced Database Systems and Queries (15 papers) and Distributed systems and fault tolerance (14 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Signal Processing (528 citations) and Hardware and Architecture (123 citations). Chinya V. Ravishankar has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Ming-Ling Lo, D. Thaler, Jenn-Long Liu, Peng Wang, Wee Keong Ng, Li Zhou, Swastik Kopparty, Vassilis J. Tsotras, Varun Gupta and Jun Ni. Their work appears in journals such as Food Chemistry, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Software Engineering.

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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