Srinivas Nallagonda

621 total citations
60 papers, 459 citations indexed

About

Srinivas Nallagonda is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Srinivas Nallagonda has authored 60 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computer Networks and Communications, 41 papers in Electrical and Electronic Engineering and 14 papers in Aerospace Engineering. Recurrent topics in Srinivas Nallagonda's work include Cognitive Radio Networks and Spectrum Sensing (57 papers), Distributed Sensor Networks and Detection Algorithms (54 papers) and Wireless Communication Security Techniques (22 papers). Srinivas Nallagonda is often cited by papers focused on Cognitive Radio Networks and Spectrum Sensing (57 papers), Distributed Sensor Networks and Detection Algorithms (54 papers) and Wireless Communication Security Techniques (22 papers). Srinivas Nallagonda collaborates with scholars based in India, Italy and Czechia. Srinivas Nallagonda's co-authors include Sumit Kundu, Sanjay Dhar Roy, Aniruddha Chandra, Abhijit Bhowmick, Sanjoy Roy, S. Kundu, Gianluigi Ferrari, R. Raheli, Binod Prasad and Aleš Prokeš and has published in prestigious journals such as IEEE Transactions on Aerospace and Electronic Systems, Electronics Letters and Wireless Networks.

In The Last Decade

Srinivas Nallagonda

57 papers receiving 421 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Srinivas Nallagonda India 13 437 275 81 44 29 60 459
Yinman Lee Taiwan 11 259 0.6× 352 1.3× 65 0.8× 49 1.1× 18 0.6× 53 412
Shweta Pandit India 14 413 0.9× 379 1.4× 32 0.4× 31 0.7× 20 0.7× 37 482
Oluwatobi Olabiyi United States 9 291 0.7× 270 1.0× 45 0.6× 22 0.5× 20 0.7× 38 356
A. Shah United States 7 323 0.7× 390 1.4× 50 0.6× 35 0.8× 17 0.6× 18 423
Shahriar Shirvani Moghaddam Iran 10 163 0.4× 240 0.9× 58 0.7× 73 1.7× 24 0.8× 69 331
Ye Geoffrey Li United States 7 532 1.2× 479 1.7× 45 0.6× 78 1.8× 60 2.1× 9 595
Keyvan Zarifi Canada 12 291 0.7× 355 1.3× 92 1.1× 57 1.3× 27 0.9× 39 422
Rakesh Rajbanshi United States 13 476 1.1× 497 1.8× 48 0.6× 38 0.9× 36 1.2× 18 580
Alexandr M. Kuzminskiy Australia 9 199 0.5× 248 0.9× 32 0.4× 98 2.2× 59 2.0× 55 313
В. И. Костылев Russia 5 319 0.7× 190 0.7× 108 1.3× 44 1.0× 29 1.0× 17 371

Countries citing papers authored by Srinivas Nallagonda

Since Specialization
Citations

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

Fields of papers citing papers by Srinivas Nallagonda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srinivas Nallagonda

This figure shows the co-authorship network connecting the top 25 collaborators of Srinivas Nallagonda. A scholar is included among the top collaborators of Srinivas Nallagonda 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 Srinivas Nallagonda. Srinivas Nallagonda 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
1.
Nallagonda, Srinivas, et al.. (2024). Performance Analysis of a CR‐Enabled Energy‐Efficient Device‐to‐Device Network With Ambient Backscattering and NOMA. International Journal of Communication Systems. 38(4).
2.
Nallagonda, Srinivas. (2023). Spectrum sensing performance of wireless cognitive radio sensor network with hard‐decision fusion over generalizedαμfading channels. International Journal of Communication Systems. 36(10). 9 indexed citations
4.
Nallagonda, Srinivas, Abhijit Bhowmick, & Binod Prasad. (2022). On Selection of Parameters for Cooperative Spectrum Sensing Schemes overκμFading Channels. IETE Journal of Research. 69(11). 7684–7694. 10 indexed citations
5.
Nallagonda, Srinivas, et al.. (2019). Performance of energy-efficient cooperative cognitive radio system over erroneous Nakagami-m and Weibull fading channels. Wireless Networks. 26(4). 2623–2638. 7 indexed citations
6.
Nallagonda, Srinivas, et al.. (2019). Comprehensive performance analysis of data‐fusion aided cooperative cognitive radio network over η − μ fading channel. IET Communications. 13(16). 2558–2566. 7 indexed citations
7.
Nallagonda, Srinivas, et al.. (2017). Optimization Analysis of Improved Energy Detection based Cooperative Spectrum Sensing Network in Nakagami-m and Weibull Fading Channels. Journal of Engineering Science and Technology Review. 10(2). 114–121. 7 indexed citations
9.
Nallagonda, Srinivas, et al.. (2017). Performance Analysis of Cooperative Spectrum Sensing Network Using Optimization Technique in Different Fading Channels. Wireless Personal Communications. 97(2). 2887–2909. 2 indexed citations
10.
11.
Bhowmick, Abhijit, Srinivas Nallagonda, Sanjay Dhar Roy, & Sumit Kundu. (2015). Cooperative Spectrum Sensing with Double Threshold and Censoring in Rayleigh Faded Cognitive Radio Network. Wireless Personal Communications. 84(1). 251–271. 13 indexed citations
12.
Nallagonda, Srinivas, Sanjay Dhar Roy, & Sumit Kundu. (2015). Combined diversity and improved energy detection in cooperative spectrum sensing with faded reporting channels. Journal of King Saud University - Computer and Information Sciences. 28(2). 170–183. 2 indexed citations
13.
Nallagonda, Srinivas, et al.. (2014). Combined censoring and weighted fusion based spectrum sensing with improved energy detector. 17. 1–5. 1 indexed citations
14.
Nallagonda, Srinivas, Aniruddha Chandra, Sanjay Dhar Roy, & Sumit Kundu. (2013). On performance of cooperative spectrum sensing based on improved energy detector with multiple antennas in Hoyt fading channel. 1–6. 9 indexed citations
15.
Nallagonda, Srinivas, Sanjay Dhar Roy, S. Kundu, Gianluigi Ferrari, & R. Raheli. (2013). Performance of MRC fusion-based cooperative spectrum sensing with censoring of cognitive radios in rayleigh fading channels. 3. 30–35. 7 indexed citations
16.
Nallagonda, Srinivas, Sanjay Dhar Roy, & Sumit Kundu. (2013). Cooperative Spectrum Sensing with Censoring of Improved Energy Detector Based Cognitive Radios in Rayleigh Faded Channel. International Journal of Wireless Information Networks. 21(1). 74–88. 4 indexed citations
17.
Nallagonda, Srinivas, Sanjay Dhar Roy, & Sumit Kundu. (2012). Cooperative spectrum sensing with censoring of cognitive radios in Rayleigh fading channel. 1–5. 10 indexed citations
18.
Nallagonda, Srinivas, Sanjay Dhar Roy, & Sumit Kundu. (2012). Performance of cooperative spectrum sensing using an improved energy detector in fading channels. 1–4. 1 indexed citations
19.
Nallagonda, Srinivas, Sanjoy Roy, & Sumit Kundu. (2011). Performance of cooperative spectrum sensing in Rician and Weibull fading channels. 37. 1–5. 6 indexed citations
20.
Nallagonda, Srinivas, et al.. (2011). Performance of energy detection based spectrum sensing in fading channels. 575–580. 13 indexed citations

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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