P Nandhini

400 citations
31 papers · 242 · h-index 8

Impact in

Papers in

P Nandhini

24 papers receiving 224 citations

Peers

P Nandhini
Comparison fields: 5 of 68
  • Computer Networks and Communications 68
  • Analytical Chemistry 26
  • Polymers and Plastics 29
  • Plant Science 64
  • Signal Processing 18
Replace T. J. Nagalakshmi with:
T. J. Nagalakshmi India
A. Sahaya Anselin Nisha India
K. Thangadurai India
Asnor Juraiza Ishak Malaysia
Farouq Aliyu Saudi Arabia
Ramya Maranan India
S Gowrishankar India
Jose Anand India
Jie Lei China
Xiaopan Chen China
P Nandhini relative to T. J. Nagalakshmi India T. J. Nagalakshmi's profile →
Citations per field
00.5×3.3×
T. J. Nagalakshmi · 1×
Citations per year

Countries citing papers authored by P Nandhini

Since Specialization
Citations

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

Fields of papers citing papers by P Nandhini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside P Nandhini, 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 Nandhini Line = papers co-authored together P Nandhini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202281
2 201940
3 202119
4 202214
5 202110
6 202110
7 201910
8 20218
9 20217
10 20227
11 20196
12 20225
13 20195
14 20184
15 20214
16 20192
17 20192
18 20232
19 20191
20 20191

About P Nandhini

P Nandhini is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Plant Science, having authored 31 papers that have together received 242 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (12 papers), IoT and Edge/Fog Computing (6 papers), Advanced Malware Detection Techniques (5 papers), Energy Efficient Wireless Sensor Networks (4 papers), Smart Grid Security and Resilience (3 papers), Smart Agriculture and AI (3 papers), Spectroscopy and Chemometric Analyses (2 papers) and Security in Wireless Sensor Networks (2 papers). The work is most often cited by research in Computer Networks and Communications (68 citations), Analytical Chemistry (26 citations), Polymers and Plastics (29 citations), Plant Science (64 citations) and Signal Processing (18 citations). P Nandhini has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Kogilavani Shanmugavadivel, Malliga Subramanian, K. R. Sumesh, Ajithram Arivendan, K. Kanthavel, B. M. Mehtre, Vani Rajasekar, V E Sathishkumar, S. Parthasarathy and A. Miguel. Their work appears in journals such as Computer Networks, Electronics, Journal of Polymers and the Environment, Neural Computing and Applications and Wireless Personal Communications.

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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