Srikanth K. Iyer

43 papers receiving 378 citations

Peers

Srikanth K. Iyer
Comparison fields: 5 of 59
  • Computer Networks and Communications 137
  • Industrial and Manufacturing Engineering 105
  • Statistics and Probability 92
  • Electrical and Electronic Engineering 70
  • Artificial Intelligence 50
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Κωνσταντίνος Παναγιώτου Germany
Christian Michelot France
Hans Frenk Netherlands
Manabu Shirosaki Japan
Ismail Ali Australia
Jean‐Luc Lutton France
Alberto Cambini Italy
Pham Dinh Tao France
Matthias Köppe United States
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Srikanth K. Iyer relative to Κωνσταντίνος Παναγιώτου Germany Κωνσταντίνος Παναγιώτου's profile →
Citations per field
00.5×10.5×
Κωνσταντίνος Παναγιώτου · 1×
Citations per year

Countries citing papers authored by Srikanth K. Iyer

Since Specialization
Citations

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

Fields of papers citing papers by Srikanth K. Iyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Srikanth K. Iyer. 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 Srikanth K. Iyer. The network helps show where Srikanth K. Iyer may publish in the future.

Co-authorship network of co-authors of Srikanth K. Iyer

This figure shows the co-authorship network connecting the top 25 collaborators of Srikanth K. Iyer. A scholar is included among the top collaborators of Srikanth K. Iyer 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 Srikanth K. Iyer. Srikanth K. Iyer 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 3
2 4
3 5
4 2
5 1
6 3
7
Pricing credit derivatives
1
8 2
9 3
10 3
11 27
12
Limit laws for k-coverage of paths by a Markov-Boolean model
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13 62
14 10
15
The LINEX risk of maximum likelihood estimators of parameters of normal populations having order restricted means
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16 2
17 11
18 110
19
BIVARIATE EXPONENTIAL DISTRIBUTIONS USING LINEAR STRUCTURES
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20 1

About Srikanth K. Iyer

Srikanth K. Iyer is a scholar working on Statistics and Probability, Mathematical Physics and Finance, having authored 45 papers that have together received 400 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (13 papers), Mobile Ad Hoc Networks (7 papers) and Stochastic processes and financial applications (6 papers). The work is most often cited by research in Statistics and Probability (92 citations), Industrial and Manufacturing Engineering (105 citations) and Computer Networks and Communications (137 citations). Srikanth K. Iyer has collaborated with scholars based in India, United States and France. Frequent co-authors include D. Manjunath, D. Yogeshwaran, S. Rao Jammalamadaka, S. Sundhar Ram, Debasis Kundu, Rahul Vaze, Nikhil Karamchandani, Bhupendra Gupta, Swagata Nandi and Harshinder Singh. Their work appears in journals such as IEEE Transactions on Wireless Communications, Computers & Operations Research and IEEE Transactions on Mobile Computing.

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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