T. V. Lakshman

14.2k citations
191 papers · 10.2k indexed · 6 hit papers · h-index 52

T. V. Lakshman

187 papers receiving 9.5k citations

Hit Papers

The performance of TCP/IP for networks with high bandwidt...199720262006201619971999201320132006200400600

Peers

T. V. Lakshman
Comparison fields: 5 of 89
  • Computer Networks and Communications 9.0k
  • Electrical and Electronic Engineering 4.0k
  • Hardware and Architecture 1.8k
  • Artificial Intelligence 1.7k
  • Information Systems 1.2k
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Citations per field
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Citations per year

Countries citing papers authored by T. V. Lakshman

Since Specialization
Citations

This map shows the geographic impact of T. V. Lakshman'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 T. V. Lakshman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. V. Lakshman more than expected).

Fields of papers citing papers by T. V. Lakshman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. V. Lakshman

This figure shows the co-authorship network connecting the top 25 collaborators of T. V. Lakshman. A scholar is included among the top collaborators of T. V. Lakshman 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 T. V. Lakshman. T. V. Lakshman 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 0
2 1
3 4
4 4
5 13
6
Fast Reinforcement Learning Algorithms for Resource Allocation in Data Centers
2
7 31
8 54
9 3
10 12
11
Traffic engineering in software defined networksbreakdown →
418
12
The personal cloud: design, architecture and matchmaking algorithms for resource management
2
13
Building access oblivious storage cloud for enterprise
1
14
Secure cloud computing with a virtualized network infrastructure
35
15 24
16 22
17 196
18 113
19
Total Acknowledgements: A Robust Feedback Mechanism for End-to-End Congestion Control (Extended Abstract).
5
20
Communication Structure of Decentralized Commit Protocols.
11

About T. V. Lakshman

T. V. Lakshman is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering, having authored 191 papers that have together received 10.2k indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (86 papers), Software-Defined Networks and 5G (72 papers) and Advanced Optical Network Technologies (59 papers). The work is most often cited by research in Computer Networks and Communications (9.0k citations), Hardware and Architecture (1.8k citations) and Electrical and Electronic Engineering (4.0k citations). T. V. Lakshman has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Murali Kodialam, Upamanyu Madhow, D. Stiliadis, Daniel P. Heyman, Sarit Mukherjee, Teunis J. Ott, Yu Fang, Randy H. Katz, Mansoor Alicherry and Larry Wong. Their work appears in journals such as Proceedings of the IEEE, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

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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