Kshitiz Aryal

805 total citations · 1 hit paper
9 papers, 387 citations indexed

About

Kshitiz Aryal is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Kshitiz Aryal has authored 9 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 7 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Kshitiz Aryal's work include Advanced Malware Detection Techniques (8 papers), Network Security and Intrusion Detection (7 papers) and Anomaly Detection Techniques and Applications (3 papers). Kshitiz Aryal is often cited by papers focused on Advanced Malware Detection Techniques (8 papers), Network Security and Intrusion Detection (7 papers) and Anomaly Detection Techniques and Applications (3 papers). Kshitiz Aryal collaborates with scholars based in United States. Kshitiz Aryal's co-authors include Maanak Gupta, Lopamudra Praharaj, Mahmoud Abdelsalam, B. Thuraisingham, E. B. Becker, Mahmoud Abdelsalam, Elisa Bertino, Daniel Simpson, Praveen V. Mummaneni and Sheikh Rabiul Islam and has published in prestigious journals such as IEEE Access, IEEE Transactions on Dependable and Secure Computing and 2022 IEEE International Conference on Big Data (Big Data).

In The Last Decade

Kshitiz Aryal

8 papers receiving 357 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy

2023 346 citations Maanak Gupta, Kshitiz Aryal et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kshitiz Aryal United States	4	177	121	82	76	75	9	387
Lopamudra Praharaj United States	5	160 0.9×	114 0.9×	58 0.7×	66 0.9×	75 1.0×	8	371
Timothy R. McIntosh Australia	12	153 0.9×	147 1.2×	103 1.3×	95 1.3×	54 0.7×	23	412
Karsten Tolle Germany	6	197 1.1×	124 1.0×	42 0.5×	141 1.9×	25 0.3×	18	296
Parus Khuwaja Pakistan	11	128 0.7×	36 0.3×	29 0.4×	55 0.7×	37 0.5×	26	312
Magnus Westerlund Finland	9	96 0.5×	66 0.5×	19 0.2×	112 1.5×	30 0.4×	30	281
Ammar Elhassan Jordan	10	101 0.6×	62 0.5×	30 0.4×	39 0.5×	23 0.3×	30	338
Nuria Rodríguez-Barroso Spain	6	307 1.7×	43 0.4×	17 0.2×	39 0.5×	21 0.3×	10	359
Nisha Talagala United States	14	100 0.6×	122 1.0×	16 0.2×	356 4.7×	24 0.3×	27	496
Sergey Butakov Canada	9	122 0.7×	93 0.8×	37 0.5×	82 1.1×	12 0.2×	49	273
Doris Xin United States	6	170 1.0×	62 0.5×	14 0.2×	40 0.5×	10 0.1×	10	297

Countries citing papers authored by Kshitiz Aryal

Since Specialization

Citations

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

Fields of papers citing papers by Kshitiz Aryal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kshitiz Aryal

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Aryal, Kshitiz, et al.. (2025). SoK: Leveraging Transformers for Malware Analysis. IEEE Transactions on Dependable and Secure Computing. 22(6). 5888–5905. 2 indexed citations

2.

Aryal, Kshitiz, et al.. (2024). Explainability Guided Adversarial Evasion Attacks on Malware Detectors. 1–9. 3 indexed citations

3.

Aryal, Kshitiz, et al.. (2024). Explainability-Informed Targeted Malware Misclassification. 1–8. 2 indexed citations

4.

Simpson, Daniel, et al.. (2024). Explainable Deep Learning Models for Dynamic and Online Malware Classification. 182–189. 1 indexed citations

5.

Aryal, Kshitiz, et al.. (2024). A Survey on Adversarial Attacks for Malware Analysis. IEEE Access. 13. 428–459. 12 indexed citations

6.

Mummaneni, Praveen V., Kshitiz Aryal, Mahmoud Abdelsalam, & Maanak Gupta. (2024). Not All Malware are Born Equally: An Empirical Analysis of Adversarial Evasion Attacks in Relation to Malware Types and PE Files Structure. 5620–5629.

7.

Becker, E. B., Maanak Gupta, & Kshitiz Aryal. (2023). Using Machine Learning for Detection and Classification of Cyber Attacks in Edge IoT. 400–410. 3 indexed citations

8.

Gupta, Maanak, et al.. (2023). From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy. IEEE Access. 11. 80218–80245. 346 indexed citations breakdown →

9.

Aryal, Kshitiz, Maanak Gupta, & Mahmoud Abdelsalam. (2022). Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector. 2022 IEEE International Conference on Big Data (Big Data). 4236–4245. 18 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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