Revathi Sundarasekar

1.4k citations
9 papers · 808 indexed · h-index 8
Topics
IoT and Edge/Fog Computing (4 papers)Cloud Computing and Resource Management (2 papers)Traffic Prediction and Management Techniques (2 papers)
Partner nations
IndiaLebanonMalaysia

In The Last Decade

Revathi Sundarasekar

8 papers receiving 755 citations

Peers

Revathi Sundarasekar
Comparison fields: 5 of 115
  • Computer Networks and Communications 245
  • Artificial Intelligence 217
  • Information Systems 206
  • Computer Vision and Pattern Recognition 138
  • Electrical and Electronic Engineering 103
Replace Shadi Atalla with:
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Mohammed Talal Malaysia
Senthil Kumar Jagatheesaperumal United States
Andreas P. Plageras Greece
Rajalakshmi Krishnamurthi India
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Sujatha Krishnamoorthy China
He Xu China
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Citations per field
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Citations per year

Countries citing papers authored by Revathi Sundarasekar

Since Specialization
Citations

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

Fields of papers citing papers by Revathi Sundarasekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Revathi Sundarasekar

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 0
2 54
3 104
4 40
5 46
6 134
7 141
8 113
9 176

About Revathi Sundarasekar

Revathi Sundarasekar is a scholar working on Computer Networks and Communications, Health Information Management and Building and Construction, having authored 9 papers that have together received 808 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (4 papers), Cloud Computing and Resource Management (2 papers) and Traffic Prediction and Management Techniques (2 papers). The work is most often cited by research in Computer Networks and Communications (245 citations), Information Systems (206 citations) and Health Information Management (35 citations). Revathi Sundarasekar has collaborated with scholars based in India, Lebanon and Malaysia. Frequent co-authors include Gunasekaran Manogaran, Priyan Malarvizhi Kumar, R. Varatharajan, Seifedine Kadry, Naveen Chilamkurti, P. Mohamed Shakeel, S. Baskar, BalaAnand Muthu, R. Dinesh Jackson Samuel and A. Shanthini. Their work appears in journals such as IEEE Access, Sensors and IEEE Transactions on Fuzzy Systems.

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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