Sashank Narain

485 total citations
31 papers, 311 citations indexed

About

Sashank Narain is a scholar working on Computer Science Applications, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Sashank Narain has authored 31 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Science Applications, 10 papers in Signal Processing and 9 papers in Computer Networks and Communications. Recurrent topics in Sashank Narain's work include Advanced Malware Detection Techniques (10 papers), Teaching and Learning Programming (9 papers) and Bluetooth and Wireless Communication Technologies (4 papers). Sashank Narain is often cited by papers focused on Advanced Malware Detection Techniques (10 papers), Teaching and Learning Programming (9 papers) and Bluetooth and Wireless Communication Technologies (4 papers). Sashank Narain collaborates with scholars based in United States, Mexico and India. Sashank Narain's co-authors include Guevara Noubir, Triet D. Vo-Huu, Aanjhan Ranganathan, Claire Seungeun Lee, Alexander Heinrich, Matthias Hollick, Kemal Tepe, K. Daniel Wong, Ismaila Temitayo Sanusi and Fred Martin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Security & Privacy.

In The Last Decade

Sashank Narain

25 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sashank Narain United States 8 122 106 99 96 87 31 311
Xiaocong Jin United States 12 186 1.5× 81 0.8× 97 1.0× 156 1.6× 114 1.3× 17 387
Triet D. Vo-Huu United States 8 160 1.3× 75 0.7× 46 0.5× 74 0.8× 126 1.4× 11 275
Mengyuan Wang China 6 104 0.9× 54 0.5× 46 0.5× 93 1.0× 53 0.6× 12 261
Junze Han China 8 121 1.0× 50 0.5× 126 1.3× 42 0.4× 45 0.5× 15 286
Huaxin Li China 7 260 2.1× 55 0.5× 65 0.7× 119 1.2× 87 1.0× 14 373
Michele Scalera Italy 12 81 0.7× 57 0.5× 82 0.8× 88 0.9× 70 0.8× 26 282
Entao Luo China 8 133 1.1× 19 0.2× 164 1.7× 189 2.0× 69 0.8× 15 362
Jiandian Zeng China 7 113 0.9× 19 0.2× 70 0.7× 167 1.7× 75 0.9× 11 291
Soteris Demetriou United States 11 198 1.6× 258 2.4× 216 2.2× 150 1.6× 45 0.5× 21 430
Saumay Pushp South Korea 7 101 0.8× 26 0.2× 71 0.7× 137 1.4× 90 1.0× 16 316

Countries citing papers authored by Sashank Narain

Since Specialization
Citations

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

Fields of papers citing papers by Sashank Narain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sashank Narain

This figure shows the co-authorship network connecting the top 25 collaborators of Sashank Narain. A scholar is included among the top collaborators of Sashank Narain 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 Sashank Narain. Sashank Narain 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.
Narain, Sashank, et al.. (2025). CryptoEL: A Novel Experiential Learning Tool for Enhancing K-12 Cryptography Education. 980–986. 3 indexed citations
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Narain, Sashank, et al.. (2024). Dynamic Link Scheduling in Wireless Networks Through Fuzzy-Enhanced Deep Learning. IEEE Open Journal of the Communications Society. 5. 6832–6848. 3 indexed citations
8.
Lee, Claire Seungeun, et al.. (2024). Visual CryptoED: A Role-Playing and Visualization Tool for K-12 Cryptography Education. 1105–1111. 1 indexed citations
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Sanusi, Ismaila Temitayo, et al.. (2024). Introducing Children to AI and ML with Five Software Exhibits. 1–6. 6 indexed citations
12.
Narain, Sashank, et al.. (2023). Integrating Data Structures and Algorithms in K-12 Education using Block-based Programming. 1–10. 1 indexed citations
13.
Maiti, Anindya, et al.. (2023). SkinSense: Efficient vibration-based communications over human body using motion sensors. Internet of Things. 23. 100835–100835.
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Narain, Sashank, et al.. (2023). Designing a Visual Cryptography Curriculum for K-12 Education. 1–10. 3 indexed citations
15.
Narain, Sashank & Guevara Noubir. (2019). Mitigating Location Privacy Attacks on Mobile Devices using Dynamic App Sandboxing. SHILAP Revista de lepidopterología. 2019(2). 66–87. 5 indexed citations
16.
Narain, Sashank, Aanjhan Ranganathan, & Guevara Noubir. (2019). Security of GPS/INS Based On-road Location Tracking Systems. 587–601. 48 indexed citations
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Narain, Sashank, et al.. (2017). An autonomic and permissionless Android covert channel. 184–194. 18 indexed citations
18.
Narain, Sashank, et al.. (2017). The Perils of User Tracking Using Zero-Permission Mobile Apps. IEEE Security & Privacy. 15(2). 32–41. 7 indexed citations
19.
Narain, Sashank, et al.. (2016). Inferring User Routes and Locations Using Zero-Permission Mobile Sensors. 92 indexed citations
20.
Narain, Sashank, et al.. (2013). Wireless spreading of WiFi APs infections using WPS flaws: An epidemiological and experimental study. 430–437. 16 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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