T. Deepa

486 citations
74 papers · 299 indexed · h-index 9

T. Deepa

56 papers receiving 277 citations

Peers

T. Deepa
Comparison fields: 5 of 50
  • Electrical and Electronic Engineering 211
  • Computer Networks and Communications 83
  • Signal Processing 26
  • Computational Mathematics 1
  • Control and Systems Engineering 39
Replace Arun Ravindran with:
Arun Ravindran United States
Inès Ben Jemaa France
Mona Bakri Hassan Sudan
Wafaa A. H. Ali Alsalihy Malaysia
Jingxiao Ma China
Saeed Abdallah United Arab Emirates
Frank Comeau Canada
Jue Chen China
Morteza Hashemi United States
Yaodong Zhu China
T. Deepa relative to Arun Ravindran United States Arun Ravindran's profile →
Citations per field
00.5×2.7×
Arun Ravindran · 1×
Citations per year

Countries citing papers authored by T. Deepa

Since Specialization
Citations

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

Fields of papers citing papers by T. Deepa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside T. Deepa, 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 T. Deepa Line = papers co-authored together T. Deepa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20259
3 20250
4 20241
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12 20231
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17 20203
18
Counting Cells in Microscopic Image Using Two-Phase Segmentation
20181
19 20183
20 20131

About T. Deepa

T. Deepa is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition and Biophysics, having authored 74 papers that have together received 299 indexed citations. Recurring topics across this work include PAPR reduction in OFDM (20 papers), Optical Wireless Communication Technologies (12 papers), Advanced Wireless Communication Techniques (10 papers), Multilevel Inverters and Converters (8 papers), Advanced DC-DC Converters (7 papers), Optical Network Technologies (7 papers), Advanced Wireless Communication Technologies (6 papers) and Wireless Communication Networks Research (6 papers). The work is most often cited by research in Electrical and Electronic Engineering (211 citations), Computer Networks and Communications (83 citations), Signal Processing (26 citations), Computational Mathematics (1 citation) and Control and Systems Engineering (39 citations). T. Deepa has collaborated with scholars based in India, Denmark and United States. Frequent co-authors include R. Kumar, Venkata Mani Vakamulla, Suseela Vappangi, Sanjeevikumar Padmanaban, D. P. Kothari, S. Krithiga, A. Nagaraja Rao, T. Rama Rao, N. Bharathiraja and Jens Bo Holm‐Nielsen. Their work appears in journals such as Wireless Personal Communications, Indian Journal of Science and Technology, Scientific Reports, Optics & Laser Technology and Optical and Quantum Electronics.

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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