T. Thamaraimanalan

512 citations
35 papers · 251 indexed · h-index 8
Topics
IoT and Edge/Fog Computing (5 papers)Low-power high-performance VLSI design (4 papers)Network Security and Intrusion Detection (4 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsSensors
Partner nations
IndiaSaudi ArabiaAustria

In The Last Decade

T. Thamaraimanalan

22 papers receiving 236 citations

Peers

T. Thamaraimanalan
Comparison fields: 5 of 58
  • Computer Networks and Communications 111
  • Electrical and Electronic Engineering 98
  • Artificial Intelligence 43
  • Biomedical Engineering 39
  • Information Systems 24
Replace S.P. Sasirekha with:
S.P. Sasirekha India
Mohammed Al‐Maitah Saudi Arabia
Srinivas Aluvala India
Deepak Upadhyay India
V. Samuthira Pandi India
Manuel Castillo‐Cara Spain
Eelandula Kumaraswamy India
Pete Warden United States
Pradeep B. Mane India
T. Thamaraimanalan relative to S.P. Sasirekha India S.P. Sasirekha's profile →
Citations per field
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S.P. Sasirekha · 1×
Citations per year

Countries citing papers authored by T. Thamaraimanalan

Since Specialization
Citations

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

Fields of papers citing papers by T. Thamaraimanalan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Thamaraimanalan

This figure shows the co-authorship network connecting the top 25 collaborators of T. Thamaraimanalan. A scholar is included among the top collaborators of T. Thamaraimanalan 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. Thamaraimanalan. T. Thamaraimanalan 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 2
3 0
4 6
5 7
6 0
7 3
8 1
9 1
10 0
11 0
12 19
13 51
14 1
15 9
16 5
17
Multi Biometric Authentication using SVM and ANN Classifiers
7
18 32
19
Analysis And Design Of Fir Filter Using Modified Carry Look Ahead Multiplier
5
20
Aadhar Based Electronic Voting Machine
2

About T. Thamaraimanalan

T. Thamaraimanalan is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 35 papers that have together received 251 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Low-power high-performance VLSI design (4 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Computer Networks and Communications (111 citations), Signal Processing (19 citations) and Electrical and Electronic Engineering (98 citations). T. Thamaraimanalan has collaborated with scholars based in India, Saudi Arabia and Austria. Frequent co-authors include C. Venkatesan, S. Pradeepa, M. Ramkumar, S. Ramalingam, S. Dhanasekaran, Fahima Hajjej, H. Anandakumar, M. Ramkumar, Shaha Al‐Otaibi and A. Sivaramakrishnan. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

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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