P. Venkateswaran

78 papers receiving 435 citations

Peers

P. Venkateswaran
Comparison fields: 5 of 70
  • Electrical and Electronic Engineering 197
  • Computer Networks and Communications 107
  • Artificial Intelligence 98
  • Biomedical Engineering 96
  • Computer Vision and Pattern Recognition 87
Replace Volnei A. Pedroni with:
Volnei A. Pedroni Brazil
Michael McGuire Canada
Sandipan Kundu United States
Victor B. Lawrence United States
Jun Cheng Japan
R. Muthaiah India
George Alexiou Greece
Wanming Chu Japan
Georgios Zervakis Greece
P. P. Deepthi India
P. Venkateswaran relative to Volnei A. Pedroni Brazil Volnei A. Pedroni's profile →
Citations per field
00.5×3.6×
Volnei A. Pedroni · 1×
Citations per year

Countries citing papers authored by P. Venkateswaran

Since Specialization
Citations

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

Fields of papers citing papers by P. Venkateswaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Venkateswaran

This figure shows the co-authorship network connecting the top 25 collaborators of P. Venkateswaran. A scholar is included among the top collaborators of P. Venkateswaran 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 P. Venkateswaran. P. Venkateswaran 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 1
2 5
3 10
4 9
5 3
6 4
7 4
8 4
9 2
10 8
11 4
12
An adaptive threshold method for energy based spectrum sensing in cognitive radio networks: A practical implementation using a blind spectrum sensing method
2
13 0
14 1
15 3
16 2
17
Design and implementation of FPGA based interface model for scale-free network using I2C bus protocol on Quartus II 6.0
6
18 22
19
FPGA Based Efficient Interface Model for Scale-Free Computer Network using I2C Protocol
1
20 0

About P. Venkateswaran

P. Venkateswaran is a scholar working on Signal Processing, Computer Networks and Communications and Computational Mechanics, having authored 89 papers that have together received 465 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (21 papers), Analog and Mixed-Signal Circuit Design (19 papers) and Digital Filter Design and Implementation (15 papers). The work is most often cited by research in Signal Processing (80 citations), Computer Networks and Communications (107 citations) and Computer Vision and Pattern Recognition (87 citations). P. Venkateswaran has collaborated with scholars based in India, South Korea and Singapore. Frequent co-authors include R. Nandi, Souvik Roy, Divya Somvanshi, Rahul Ghosh, Niladri Shekhar Mishra, Aditi Chatterjee, Salil K. Sanyal, Jong‐Gyu Kim, Young‐Seak Lee and R. K. Nagaria. Their work appears in journals such as IEEE Transactions on Wireless Communications, Solid State Communications and Europhysics Letters (EPL).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026