Veeraruna Kavitha

61 papers receiving 240 citations

Peers

Veeraruna Kavitha
Comparison fields: 5 of 48
  • Computer Networks and Communications 127
  • Electrical and Electronic Engineering 90
  • Applied Mathematics 51
  • Control and Systems Engineering 43
  • Management Information Systems 40
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Sherif I. Ammar Egypt
W. A. Horn United States
Michael Tortorella United States
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Citations per year

Countries citing papers authored by Veeraruna Kavitha

Since Specialization
Citations

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

Fields of papers citing papers by Veeraruna Kavitha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veeraruna Kavitha

This figure shows the co-authorship network connecting the top 25 collaborators of Veeraruna Kavitha. A scholar is included among the top collaborators of Veeraruna Kavitha 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 Veeraruna Kavitha. Veeraruna Kavitha 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
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Partial Service Caching at the Edge
4
10
On-demand OFDMA: Control, fairness and non-cooperation
1
11 2
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Spatial queueing analysis for mobility in pico cell networks
3
13 2
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Analysis and design of message ferry routes in sensor networks using polling models
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Stochastic Learning Solution for Constrained Nash Equilibrium Throughput in Non Saturated Wireless Collision Channels
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Queuing in space: Design of message ferry routes in static ad hoc networks
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EXISTENCE OF SOLUTIONS FOR IMPULSIVE NONLINEAR DIFFERENTIAL EQUATIONS WITH NONLOCAL CONDITIONS
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Tracking performance of an LMS-Linear Equalizer for fading channels
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About Veeraruna Kavitha

Veeraruna Kavitha is a scholar working on Management Information Systems, Computer Networks and Communications and Numerical Analysis, having authored 75 papers that have together received 261 indexed citations. Recurring topics across this work include Advanced Wireless Network Optimization (15 papers), Advanced MIMO Systems Optimization (13 papers) and Advanced Queuing Theory Analysis (10 papers). The work is most often cited by research in Computer Networks and Communications (127 citations), Applied Mathematics (51 citations) and Numerical Analysis (26 citations). Veeraruna Kavitha has collaborated with scholars based in India, France and United States. Frequent co-authors include Eitan Altman, Eitan Altman, M. Mallika Arjunan, Vinod Sharma, Rajesh Sundaresan, N. Hemachandra, Rachid El-Azouzi, Quanyan Zhu, D. Narayana Dutt and Yong‐Kui Chang. Their work appears in journals such as IEEE Transactions on Information Theory, European Journal of Operational Research and International Journal of Hydrogen Energy.

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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