A. Sankara Narayanan

1.3k total citations
12 papers, 392 citations indexed

About

A. Sankara Narayanan is a scholar working on Signal Processing, Computer Networks and Communications and Software. According to data from OpenAlex, A. Sankara Narayanan has authored 12 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Signal Processing, 8 papers in Computer Networks and Communications and 7 papers in Software. Recurrent topics in A. Sankara Narayanan's work include Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (8 papers) and Software Testing and Debugging Techniques (7 papers). A. Sankara Narayanan is often cited by papers focused on Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (8 papers) and Software Testing and Debugging Techniques (7 papers). A. Sankara Narayanan collaborates with scholars based in Singapore, China and United States. A. Sankara Narayanan's co-authors include Lihui Chen, Yang Liu, Mahinthan Chandramohan, Guozhu Meng, Chee Keong Chan, Yinxing Xue, Jinliang Liu, Zhengzi Xu, Lipo Wang and Tieming Chen and has published in prestigious journals such as Expert Systems with Applications, Empirical Software Engineering and Journal of Information Security and Applications.

In The Last Decade

A. Sankara Narayanan

11 papers receiving 378 citations

Peers

A. Sankara Narayanan

SP

CNC

IS

SOFTW

AI

Justin Sahs United States

Zhiruo Zhao China

Xinhui Han China

Vitor Monte Afonso Brazil

Aristide Fattori Italy

Keisuke Takemori Japan

Lucky Onwuzurike United Kingdom

Bhargava Shastry Germany

Xiaorui Gong China

Fengguo Wei United States

Justin Sahs United States

A. Sankara Narayanan

307 ×0.9

SP

216 ×0.8

CNC

154 ×0.8

IS

142 ×0.8

SOFTW

96 ×1.2

AI

Citations per year, relative to A. Sankara Narayanan A. Sankara Narayanan (= 1×) peers Justin Sahs

Countries citing papers authored by A. Sankara Narayanan

Since Specialization

Citations

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

Fields of papers citing papers by A. Sankara Narayanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Sankara Narayanan. 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 A. Sankara Narayanan. The network helps show where A. Sankara Narayanan may publish in the future.

Co-authorship network of co-authors of A. Sankara Narayanan

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

All Works

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12 of 12 papers shown

1.

Narayanan, A. Sankara, et al.. (2025). FETA: A systematic and efficient approach for feature engineering on anti-static and anti-dynamic malware analysis. Journal of Information Security and Applications. 93. 104104–104104.

2.

Narayanan, A. Sankara, et al.. (2019). Employee profiling via aspect-based sentiment and network for insider threats detection. Expert Systems with Applications. 135. 351–361. 40 indexed citations

3.

Narayanan, A. Sankara, et al.. (2018). Apk2vec: Semi-Supervised Multi-view Representation Learning for Profiling Android Applications. DR-NTU (Nanyang Technological University). 357–366. 23 indexed citations

4.

Narayanan, A. Sankara, Mahinthan Chandramohan, Lihui Chen, & Yang Liu. (2017). Context-Aware, Adaptive, and Scalable Android Malware Detection Through Online Learning. IEEE Transactions on Emerging Topics in Computational Intelligence. 1(3). 157–175. 57 indexed citations

5.

Narayanan, A. Sankara, Mahinthan Chandramohan, Lihui Chen, & Yang Liu. (2017). A multi-view context-aware approach to Android malware detection and malicious code localization. Empirical Software Engineering. 23(3). 1222–1274. 62 indexed citations

6.

Meng, Guozhu, et al.. (2016). Semantic modelling of Android malware for effective malware comprehension, detection, and classification. 306–317. 47 indexed citations

7.

Meng, Guozhu, Yinxing Xue, Mahinthan Chandramohan, et al.. (2016). Mystique. 365–376. 44 indexed citations

8.

Narayanan, A. Sankara, Yang Liu, Lihui Chen, & Jinliang Liu. (2016). Adaptive and scalable Android malware detection through online learning. 2484–2491. 47 indexed citations

9.

Tan, Hee Beng Kuan, et al.. (2016). LibSift: Automated Detection of Third-Party Libraries in Android Applications. 41–48. 10 indexed citations

10.

Narayanan, A. Sankara, Guozhu Meng, Yang Liu, Jinliang Liu, & Lihui Chen. (2016). Contextual Weisfeiler-Lehman graph kernel for malware detection. 4701–4708. 12 indexed citations

11.

Narayanan, A. Sankara, Lihui Chen, & Chee Keong Chan. (2014). AdDetect: Automated detection of Android ad libraries using semantic analysis. 1–6. 48 indexed citations

12.

Narayanan, A. Sankara, et al.. (2012). Computer Forensic First Responder Tools. 156–159. 2 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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