Mayank Swarnkar

495 total citations
24 papers, 284 citations indexed

About

Mayank Swarnkar is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Mayank Swarnkar has authored 24 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 17 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Mayank Swarnkar's work include Network Security and Intrusion Detection (19 papers), Internet Traffic Analysis and Secure E-voting (15 papers) and Advanced Malware Detection Techniques (7 papers). Mayank Swarnkar is often cited by papers focused on Network Security and Intrusion Detection (19 papers), Internet Traffic Analysis and Secure E-voting (15 papers) and Advanced Malware Detection Techniques (7 papers). Mayank Swarnkar collaborates with scholars based in India, Italy and Taiwan. Mayank Swarnkar's co-authors include Neminath Hubballi, Neeraj Kumar, Gaurav Singal, Pratik Chattopadhyay, Mauro Conti, Nikhil Tripathi, Rakesh Kumar, Shyam Singh Rajput, Hiren Kumar Thakkar and Sonali Patil and has published in prestigious journals such as Expert Systems with Applications, IEEE Internet of Things Journal and IEEE/ACM Transactions on Networking.

In The Last Decade

Mayank Swarnkar

19 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayank Swarnkar India 8 229 198 117 64 27 24 284
Esraa Saleh Alomari Iraq 7 282 1.2× 202 1.0× 187 1.6× 70 1.1× 17 0.6× 14 340
Rasheed Ahmad United States 6 280 1.2× 174 0.9× 154 1.3× 81 1.3× 9 0.3× 9 348
Tomáš Jirsík Czechia 9 189 0.8× 137 0.7× 95 0.8× 72 1.1× 11 0.4× 23 226
Oluwadamilare Harazeem Abdulganiyu Nigeria 6 241 1.1× 192 1.0× 119 1.0× 33 0.5× 19 0.7× 12 295
Donghai Tian China 9 129 0.6× 135 0.7× 165 1.4× 100 1.6× 20 0.7× 30 247
Samuel Kounev Germany 7 239 1.0× 123 0.6× 82 0.7× 85 1.3× 15 0.6× 29 283
Gilberto Fernandes Brazil 6 319 1.4× 278 1.4× 104 0.9× 30 0.5× 19 0.7× 11 376
Anand Mudgerikar United States 7 224 1.0× 132 0.7× 139 1.2× 48 0.8× 7 0.3× 11 266
Hsiao-Chung Lin Taiwan 10 251 1.1× 207 1.0× 136 1.2× 44 0.7× 13 0.5× 25 336
K. Sundarakantham India 6 270 1.2× 178 0.9× 129 1.1× 70 1.1× 8 0.3× 25 310

Countries citing papers authored by Mayank Swarnkar

Since Specialization
Citations

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

Fields of papers citing papers by Mayank Swarnkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayank Swarnkar

This figure shows the co-authorship network connecting the top 25 collaborators of Mayank Swarnkar. A scholar is included among the top collaborators of Mayank Swarnkar 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 Mayank Swarnkar. Mayank Swarnkar 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.
Swarnkar, Mayank, et al.. (2025). DLAZE: Detecting DNS Tunnels Using Lightweight and Accurate Method for Zero-Day Exploits. IEEE Transactions on Network and Service Management. 22(3). 2343–2353.
2.
Swarnkar, Mayank, et al.. (2024). QuIDS: A Quantum Support Vector machine-based Intrusion Detection System for IoT networks. Journal of Network and Computer Applications. 234. 104072–104072. 3 indexed citations
3.
4.
Swarnkar, Mayank & Rakesh Kumar. (2024). BitIoT: A Bit Level Deep Packet Inspection Method for Identification of MQTT-Based IoT Devices in the Wild. IEEE Transactions on Network and Service Management. 21(3). 2866–2875. 6 indexed citations
5.
Swarnkar, Mayank, et al.. (2023). Unusual Presentation of Paraosteal Lipoma in Skull. Indian Journal of Otolaryngology and Head & Neck Surgery. 75(2). 1241–1244.
6.
Swarnkar, Mayank, et al.. (2023). OptiTuneD: An Optimized Framework for Zero-Day DNS Tunnel Detection Using N-Grams. 177–182. 1 indexed citations
7.
Swarnkar, Mayank & Shyam Singh Rajput. (2023). Artificial Intelligence for Intrusion Detection Systems. 4 indexed citations
8.
Chattopadhyay, Pratik, et al.. (2023). Temporal feature aggregation with attention for insider threat detection from activity logs. Expert Systems with Applications. 224. 119925–119925. 23 indexed citations
9.
Swarnkar, Mayank, et al.. (2023). OptiClass : An Optimized Classifier for Application Layer Protocols Using Bit Level Signatures. ACM Transactions on Privacy and Security. 27(1). 1–23. 1 indexed citations
10.
11.
Swarnkar, Mayank, et al.. (2022). Evaluation of Joint Formation in Coronoid Process Hyperplasia (Jacob’s Disease) on CT and MR Imaging. Indian Journal of Otolaryngology and Head & Neck Surgery. 75(2). 1035–1039.
12.
Swarnkar, Mayank, et al.. (2021). IoT Network Traffic Classification Using Machine Learning Algorithms: An Experimental Analysis. IEEE Internet of Things Journal. 9(2). 989–1008. 69 indexed citations
13.
Hubballi, Neminath, Mayank Swarnkar, & Mauro Conti. (2020). BitProb: Probabilistic Bit Signatures for Accurate Application Identification. IEEE Transactions on Network and Service Management. 17(3). 1730–1741. 18 indexed citations
14.
15.
Swarnkar, Mayank, Neminath Hubballi, Nikhil Tripathi, & Mauro Conti. (2018). AppHunter: Mobile Application Traffic Classification. Padua Research Archive (University of Padova). 1–6. 1 indexed citations
16.
Swarnkar, Mayank & Neminath Hubballi. (2018). SpamDetector: Detecting spam callers in Voice over Internet Protocol with graph anomalies. Security and Privacy. 2(1). 2 indexed citations
17.
Hubballi, Neminath, et al.. (2017). Security service level agreement measurement in cloud: A proof of concept implementation. 1–6. 1 indexed citations
18.
Swarnkar, Mayank & Neminath Hubballi. (2016). OCPAD: One class Naive Bayes classifier for payload based anomaly detection. Expert Systems with Applications. 64. 330–339. 70 indexed citations
19.
Swarnkar, Mayank, et al.. (2016). VoIP Profiler: Profiling Voice over IP User Communication Behavior. 4. 312–320. 5 indexed citations
20.
Swarnkar, Mayank & Neminath Hubballi. (2015). Rangegram: A novel payload based anomaly detection technique against web traffic. 1–6. 8 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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