Nagarathna Ravi

461 total citations
13 papers, 337 citations indexed

About

Nagarathna Ravi is a scholar working on Computer Networks and Communications, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Nagarathna Ravi has authored 13 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 8 papers in Artificial Intelligence and 1 paper in Automotive Engineering. Recurrent topics in Nagarathna Ravi's work include Software-Defined Networks and 5G (6 papers), Network Security and Intrusion Detection (6 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Nagarathna Ravi is often cited by papers focused on Software-Defined Networks and 5G (6 papers), Network Security and Intrusion Detection (6 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Nagarathna Ravi collaborates with scholars based in India, Italy and Norway. Nagarathna Ravi's co-authors include S. Mercy Shalinie, Chhagan Lal, Mauro Conti, K. Rajkumar and Vipul Arora and has published in prestigious journals such as IEEE Internet of Things Journal, IEEE Communications Letters and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Nagarathna Ravi

12 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nagarathna Ravi India 7 313 173 137 41 38 13 337
Safi Ullah Pakistan 7 225 0.7× 156 0.9× 135 1.0× 42 1.0× 26 0.7× 11 274
Muhammad Almas Khan United Kingdom 3 176 0.6× 117 0.7× 117 0.9× 36 0.9× 27 0.7× 4 206
Gonzalo De La Torre Parra United States 4 237 0.8× 168 1.0× 163 1.2× 73 1.8× 84 2.2× 6 321
Ibbad Hafeez Finland 6 229 0.7× 160 0.9× 130 0.9× 21 0.5× 44 1.2× 10 273
Irina Chiscop Netherlands 3 211 0.7× 171 1.0× 107 0.8× 32 0.8× 26 0.7× 8 255
Muhamad Erza Aminanto Indonesia 8 298 1.0× 246 1.4× 154 1.1× 23 0.6× 52 1.4× 19 343
Anand Mudgerikar United States 7 224 0.7× 132 0.8× 139 1.0× 40 1.0× 48 1.3× 11 266
Fabio De Gaspari Italy 8 200 0.6× 116 0.7× 69 0.5× 14 0.3× 35 0.9× 15 224
Markku Antikainen Finland 7 295 0.9× 181 1.0× 132 1.0× 26 0.6× 61 1.6× 11 348
Mohammad Adnan Aladaileh Malaysia 10 281 0.9× 128 0.7× 113 0.8× 51 1.2× 31 0.8× 21 297

Countries citing papers authored by Nagarathna Ravi

Since Specialization
Citations

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

Fields of papers citing papers by Nagarathna Ravi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nagarathna Ravi

This figure shows the co-authorship network connecting the top 25 collaborators of Nagarathna Ravi. A scholar is included among the top collaborators of Nagarathna Ravi 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 Nagarathna Ravi. Nagarathna Ravi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Ravi, Nagarathna, et al.. (2024). TeLeS: Temporal Lexeme Similarity Score to Estimate Confidence in End-to-End ASR. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 4399–4408.
2.
Ravi, Nagarathna, et al.. (2023). Parturition Hindi Speech Dataset for Automatic Speech Recognition. 2. 1–6. 3 indexed citations
3.
Ravi, Nagarathna & S. Mercy Shalinie. (2021). BlackNurse-SC: A Novel Attack on SDN Controller. IEEE Communications Letters. 25(7). 2146–2150. 7 indexed citations
4.
Ravi, Nagarathna & S. Mercy Shalinie. (2020). Learning-Driven Detection and Mitigation of DDoS Attack in IoT via SDN-Cloud Architecture. IEEE Internet of Things Journal. 7(4). 3559–3570. 192 indexed citations
5.
Ravi, Nagarathna & S. Mercy Shalinie. (2020). Semisupervised-Learning-Based Security to Detect and Mitigate Intrusions in IoT Network. IEEE Internet of Things Journal. 7(11). 11041–11052. 59 indexed citations
6.
Ravi, Nagarathna, S. Mercy Shalinie, Chhagan Lal, & Mauro Conti. (2020). AEGIS: Detection and Mitigation of TCP SYN Flood on SDN Controller. IEEE Transactions on Network and Service Management. 18(1). 745–759. 22 indexed citations
7.
Ravi, Nagarathna, et al.. (2020). BALANCE: Link Flooding Attack Detection and Mitigation via Hybrid-SDN. IEEE Transactions on Network and Service Management. 17(3). 1715–1729. 26 indexed citations
8.
Ravi, Nagarathna, et al.. (2019). Deep Learning-based Framework for Smart Sustainable Cities. International Journal of Intelligent Information Technologies. 15(4). 76–107. 2 indexed citations
9.
Ravi, Nagarathna, et al.. (2019). Secure Deep Neural (SeDeN) Framework for 5G Wireless Networks. 10 indexed citations
10.
Ravi, Nagarathna, et al.. (2018). Fuzzy Based Congestion-Aware Secure (FuCaS) Route Selection in ICN. 1–7. 2 indexed citations
13.
Ravi, Nagarathna, et al.. (2018). TeFENS: Testbed For Experimenting Next-Generation-Network Security. 204–209. 11 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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