Kshitiz Aryal

805 citations
9 papers · 387 indexed · 1 hit paper · h-index 4

Impact in

Papers in

Kshitiz Aryal

8 papers receiving 357 citations

Hit Papers

From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy 2023 · 346 citations
3460+1+2Years since publication100200300

Peers

Kshitiz Aryal
Comparison fields: 5 of 59
  • Health Informatics 75
  • Signal Processing 82
  • Safety Research 52
  • Artificial Intelligence 177
  • Information Systems 121
Replace Lopamudra Praharaj with:
Lopamudra Praharaj United States
Timothy R. McIntosh Australia
Karsten Tolle Germany
Sergey Butakov Canada
Magnus Westerlund Finland
Parus Khuwaja Pakistan
Nisha Talagala United States
Ammar Elhassan Jordan
Doris Xin United States
Xinxi Lyu United States
Kshitiz Aryal relative to Lopamudra Praharaj United States Lopamudra Praharaj's profile →
Citations per field
00.5×1.5×
Lopamudra Praharaj · 1×
Citations per year

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-authors

The 10 scholars most cited alongside Kshitiz Aryal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kshitiz Aryal Line = papers co-authored together Kshitiz Aryal links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy
Hit paper breakdown →
2023346
2 202218
3 202412
4 20243
5 20233
6 20252
7 20242
8 20241
9 20240

About Kshitiz Aryal

Kshitiz Aryal is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Information Systems and Control and Systems Engineering, having authored 9 papers that have together received 387 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (8 papers), Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (3 papers), Adversarial Robustness in Machine Learning (2 papers), Privacy-Preserving Technologies in Data (1 paper), Software Engineering Research (1 paper), Traffic Prediction and Management Techniques (1 paper) and Digital and Cyber Forensics (1 paper). The work is most often cited by research in Health Informatics (75 citations), Signal Processing (82 citations), Safety Research (52 citations), Artificial Intelligence (177 citations) and Information Systems (121 citations). Kshitiz Aryal has collaborated with scholars based in United States. Frequent co-authors include Maanak Gupta, Lopamudra Praharaj, Mahmoud Abdelsalam, B. Thuraisingham, Mahmoud Abdelsalam, E. B. Becker, Elisa Bertino, Praveen V. Mummaneni, Sheikh Rabiul Islam and Daniel Simpson. Their work appears in journals such as IEEE Access, IEEE Transactions on Dependable and Secure Computing and 2022 IEEE International Conference on Big Data (Big Data).

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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