L. SaiRamesh

482 citations
27 papers · 230 indexed · h-index 9
Topics
Anomaly Detection Techniques and Applications (5 papers)Network Security and Intrusion Detection (4 papers)Energy Efficient Wireless Sensor Networks (4 papers)

In The Last Decade

L. SaiRamesh

22 papers receiving 214 citations

Peers

L. SaiRamesh
Comparison fields: 5 of 53
  • Computer Networks and Communications 132
  • Artificial Intelligence 76
  • Information Systems 44
  • Signal Processing 35
  • Electrical and Electronic Engineering 34
Replace Devesh Kumar Srivastava with:
Devesh Kumar Srivastava India
Yuxiong He United States
Tanvir Habib Sardar India
Qiongxiao Wang China
Arash Mahboubi Australia
Faheem Masoodi India
M. Lilly Florence India
Duc‐Ly Vu Italy
Daniele Tessera Italy
Vandana Bhattacherjee India
L. SaiRamesh relative to Devesh Kumar Srivastava India Devesh Kumar Srivastava's profile →
Citations per field
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Devesh Kumar Srivastava · 1×
Citations per year

Countries citing papers authored by L. SaiRamesh

Since Specialization
Citations

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

Fields of papers citing papers by L. SaiRamesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. SaiRamesh

This figure shows the co-authorship network connecting the top 25 collaborators of L. SaiRamesh. A scholar is included among the top collaborators of L. SaiRamesh 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 L. SaiRamesh. L. SaiRamesh 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 0
3 3
4 11
5 0
6 9
7 1
8 2
9 11
10 9
11 3
12 3
13 67
14 0
15 5
16 8
17 12
18
Trusted Multi-Owner Data Sharing Among Dynamic Users in Public Cloud
2
19 3
20 3

About L. SaiRamesh

L. SaiRamesh is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 27 papers that have together received 230 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), Network Security and Intrusion Detection (4 papers) and Energy Efficient Wireless Sensor Networks (4 papers). The work is most often cited by research in Computer Networks and Communications (132 citations), Signal Processing (35 citations) and Artificial Intelligence (76 citations). L. SaiRamesh has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include K. Selvakumar, A. Kannan, Mohammad Mehedi Hassan, Kim‐Kwang Raymond Choo, Giancarlo Fortino, SK Hafizul Islam, Marimuthu Karuppiah, B. Dhanalakshmi, Sannasi Ganapathy and K. Kulothungan. Their work appears in journals such as IEEE Access, Information Sciences and Wireless Networks.

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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