P. Supraja

441 citations
30 papers · 194 · h-index 8

Impact in

Papers in

P. Supraja

27 papers receiving 171 citations

Peers

P. Supraja
Comparison fields: 5 of 63
  • Computer Networks and Communications 87
  • Signal Processing 23
  • Information Systems 44
  • Architecture 2
  • Artificial Intelligence 34
Replace R. M. Gomathi with:
R. M. Gomathi India
Kottilingam Kottursamy India
K. Rajkumar India
Saeeda Usman Pakistan
V. Samuthira Pandi India
Kavita Pandey India
Tauqeer Safdar Malik Pakistan
D. Akila India
Prakash S. Prasad India
P. Supraja relative to R. M. Gomathi India R. M. Gomathi's profile →
Citations per field
00.5×1.6×
R. M. Gomathi · 1×
Citations per year

Countries citing papers authored by P. Supraja

Since Specialization
Citations

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

Fields of papers citing papers by P. Supraja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside P. Supraja, 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 P. Supraja Line = papers co-authored together P. Supraja links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201828
2 202128
3 201920
4 201720
5 201611
6 202111
7 20239
8 20237
9 20247
10 20226
11 20066
12 20186
13 20226
14 20204
15 20234
16 20214
17 20223
18 20213
19 20232
20 20231

About P. Supraja

P. Supraja is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Signal Processing, having authored 30 papers that have together received 194 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (6 papers), Cognitive Radio Networks and Spectrum Sensing (4 papers), IoT and Edge/Fog Computing (4 papers), Security in Wireless Sensor Networks (3 papers), Blind Source Separation Techniques (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Advanced Adaptive Filtering Techniques (3 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Computer Networks and Communications (87 citations), Signal Processing (23 citations), Information Systems (44 citations), Architecture (2 citations) and Artificial Intelligence (34 citations). P. Supraja has collaborated with scholars based in India, Australia and United Arab Emirates. Frequent co-authors include R. Pitchai, V. Vijayakumar, R. Naresh, V. N. Sastry, A. Razia Sulthana, Maulik C. Madhavi, L. SaiRamesh, Balasubramanian Murugesan, Yan Liu and Anas A. Salameh. Their work appears in journals such as Soft Computing, Evolving Systems, Wireless Personal Communications, Electronics and Personal and Ubiquitous 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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