Kannan Srinathan

1.9k citations
55 papers · 640 indexed · h-index 12
Topics
Cryptography and Data Security (21 papers)Distributed systems and fault tolerance (9 papers)Complexity and Algorithms in Graphs (9 papers)

In The Last Decade

Kannan Srinathan

52 papers receiving 594 citations

Peers

Kannan Srinathan
Comparison fields: 5 of 54
  • Artificial Intelligence 305
  • Computer Vision and Pattern Recognition 247
  • Computer Networks and Communications 213
  • Information Systems 181
  • Signal Processing 134
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Claudia Feregrino-Uribe Mexico
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Countries citing papers authored by Kannan Srinathan

Since Specialization
Citations

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

Fields of papers citing papers by Kannan Srinathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kannan Srinathan. 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 Kannan Srinathan. The network helps show where Kannan Srinathan may publish in the future.

Co-authorship network of co-authors of Kannan Srinathan

This figure shows the co-authorship network connecting the top 25 collaborators of Kannan Srinathan. A scholar is included among the top collaborators of Kannan Srinathan 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 Kannan Srinathan. Kannan Srinathan 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 1
3 1
4 1
5
Using Unsupervised System with least linguistic features for TAC-AESOP Task.
3
6
On Finding Skyline Points for Range Queries in Plane.
3
7
Finding Maximum Density Axes Parallel Regions for Weighted Point Sets.
2
8 2
9 2
10 9
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Evaluating Information Coverage in Machine Generated Summary and Variable Length Documents.
1
12 1
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An Effective Approach for AESOP and Guided Summarization Task.
2
14
Data Structures for Reporting Extension Violations in a Query Range
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15 13
16
Unconditionally reliable message transmission in directed networks
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17 5
18 20
19 2
20 27

About Kannan Srinathan

Kannan Srinathan is a scholar working on Computer Graphics and Computer-Aided Design, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 640 indexed citations. Recurring topics across this work include Cryptography and Data Security (21 papers), Distributed systems and fault tolerance (9 papers) and Complexity and Algorithms in Graphs (9 papers). The work is most often cited by research in Signal Processing (134 citations), Computer Vision and Pattern Recognition (247 citations) and Hardware and Architecture (64 citations). Kannan Srinathan has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include C. V. Jawahar, Anoop Namboodiri, Niraj Kumar, C. Pandu Rangan, Minho Jo, Srinivas Jangirala, Ashok Kumar Das, Kishore Kothapalli, P. J. Narayanan and Rohit Ashok Khot. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of the ACM and IEEE Internet of Things Journal.

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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