L. Arockiam

918 citations
124 papers · 666 · h-index 14

Impact in

Papers in

    • Cloud Data Security Solutions 25
    • Cloud Computing and Resource Management 22
    • Blockchain Technology Applications and Security 11
    • Data Mining Algorithms and Applications 10
    • IoT and Edge/Fog Computing 25
    • Network Security and Intrusion Detection 9

L. Arockiam

105 papers receiving 571 citations

Peers

L. Arockiam
Comparison fields: 5 of 78
  • Information Systems 351
  • Computer Networks and Communications 302
  • Artificial Intelligence 266
  • Signal Processing 61
  • Computer Science Applications 22
Replace Minqi Zhou with:
Minqi Zhou China
B. Thuraisingham United States
Subhash K. Shinde India
William Grosso United States
Tariq Mahmood Pakistan
C. V. Guru Rao India
Shang‐Pin Ma Taiwan
Florina Almenárez Spain
Mohamed H. Khafagy Egypt
Martín Garriga Argentina
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Citations per field
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Citations per year

Countries citing papers authored by L. Arockiam

Since Specialization
Citations

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

Fields of papers citing papers by L. Arockiam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside L. Arockiam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with L. Arockiam Line = papers co-authored together L. Arockiam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201450
2 201321
3 201821
4 201519
5 201719
6 201518
7 202217
8 201716
9 201516
10 201416
11 201315
12 201515
13 201315
14 201214
15 201413
16 201813
17
VeNADet: Version Number Attack Detection for RPL based Internet of Things
202111
18
A Review on Big Data Integration
201511
19 201710
20 20159

About L. Arockiam

L. Arockiam is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 124 papers that have together received 666 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (25 papers), Cloud Data Security Solutions (25 papers), Cloud Computing and Resource Management (22 papers), Cryptography and Data Security (13 papers), Blockchain Technology Applications and Security (11 papers), Data Mining Algorithms and Applications (10 papers), Privacy-Preserving Technologies in Data (9 papers) and Network Security and Intrusion Detection (9 papers). The work is most often cited by research in Information Systems (351 citations), Computer Networks and Communications (302 citations), Artificial Intelligence (266 citations), Signal Processing (61 citations) and Computer Science Applications (22 citations). L. Arockiam has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include S. Baskar, N. Sasikaladevi, A. Aloysius, Stephen P. Charles, A. Vijayalakshmi, Sébastien Charles, Susan T. Charles, Tai-hoon Kim, A. Anitha and Tai-hoon Kim. Their work appears in journals such as Indian Journal of Science and Technology, Solid State Technology, Journal of Intelligent Manufacturing, Communications in computer and information science and Lecture notes on data engineering and communications technologies.

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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