Nathaniel D. Bastian

1.8k total citations
123 papers, 994 citations indexed

About

Nathaniel D. Bastian is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Nathaniel D. Bastian has authored 123 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 48 papers in Computer Networks and Communications and 21 papers in Signal Processing. Recurrent topics in Nathaniel D. Bastian's work include Network Security and Intrusion Detection (46 papers), Anomaly Detection Techniques and Applications (31 papers) and Advanced Malware Detection Techniques (20 papers). Nathaniel D. Bastian is often cited by papers focused on Network Security and Intrusion Detection (46 papers), Anomaly Detection Techniques and Applications (31 papers) and Advanced Malware Detection Techniques (20 papers). Nathaniel D. Bastian collaborates with scholars based in United States, Puerto Rico and Romania. Nathaniel D. Bastian's co-authors include Paul M. Griffin, Lawrence Fulton, Harriet Black Nembhard, Irfan Khan, Hyojung Kang, Sai Zhang, Ankit Shah, Brian Jalaian, Brian J. Lunday and Susmit Jha and has published in prestigious journals such as Communications of the ACM, Expert Systems with Applications and IEEE Access.

In The Last Decade

Nathaniel D. Bastian

97 papers receiving 967 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathaniel D. Bastian United States 17 302 266 148 133 102 123 994
Reem Alotaibi Saudi Arabia 18 381 1.3× 173 0.7× 120 0.8× 110 0.8× 77 0.8× 74 1.1k
Lalit Garg Malta 22 321 1.1× 269 1.0× 417 2.8× 122 0.9× 110 1.1× 124 1.8k
Rula A. Hamid Iraq 19 329 1.1× 145 0.5× 130 0.9× 35 0.3× 27 0.3× 33 1.4k
Manuel Filipe Santos Portugal 16 384 1.3× 114 0.4× 229 1.5× 51 0.4× 43 0.4× 222 1.4k
K. I. Mohammed Malaysia 22 519 1.7× 413 1.6× 440 3.0× 125 0.9× 53 0.5× 23 2.1k
Carlos Fernández-Llatas Spain 23 288 1.0× 100 0.4× 202 1.4× 39 0.3× 85 0.8× 90 1.5k
Paul V. Biron United States 8 472 1.6× 102 0.4× 184 1.2× 57 0.4× 29 0.3× 10 1.3k
Fengli Xu China 22 448 1.5× 306 1.2× 191 1.3× 143 1.1× 31 0.3× 71 1.6k
Stig Kjær Andersen Denmark 13 782 2.6× 84 0.3× 103 0.7× 109 0.8× 28 0.3× 53 1.4k
Fernando Díaz Spain 19 589 2.0× 146 0.5× 156 1.1× 54 0.4× 33 0.3× 64 1.2k

Countries citing papers authored by Nathaniel D. Bastian

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel D. Bastian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathaniel D. Bastian. 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 Nathaniel D. Bastian. The network helps show where Nathaniel D. Bastian may publish in the future.

Co-authorship network of co-authors of Nathaniel D. Bastian

This figure shows the co-authorship network connecting the top 25 collaborators of Nathaniel D. Bastian. A scholar is included among the top collaborators of Nathaniel D. Bastian 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 Nathaniel D. Bastian. Nathaniel D. Bastian 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
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Shah, Ankit, et al.. (2025). GTAE-IDS: Graph Transformer-Based Autoencoder Framework for Real-Time Network Intrusion Detection. IEEE Transactions on Information Forensics and Security. 20. 4026–4041. 2 indexed citations
3.
Shah, Ankit, et al.. (2025). Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation. ACM Transactions on Privacy and Security. 28(2). 1–33. 3 indexed citations
4.
Bastian, Nathaniel D., et al.. (2025). Data-efficient Federated Learning for Edge Network Intrusion Detection. Engineering Applications of Artificial Intelligence. 150. 110685–110685.
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Shah, Ankit, et al.. (2025). Towards Attribution in Network Attacks: A Deep Learning-Based Robust Framework for Intrusion Detection and Adversarial Toolchain Identification. Proceedings of the ... Annual Hawaii International Conference on System Sciences.
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Shah, Ankit, et al.. (2024). A sequential deep learning framework for a robust and resilient network intrusion detection system. Computers & Security. 144. 103928–103928. 12 indexed citations
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Shah, Ankit, et al.. (2024). FedNIDS: A Federated Learning Framework for Packet-Based Network Intrusion Detection System. 6(1). 1–23. 8 indexed citations
11.
Bastian, Nathaniel D., et al.. (2024). Zero-shot learning for raw network traffic detection. 53–53.
12.
Khan, Irfan, et al.. (2023). SeNet-I: An approach for detecting network intrusions through serialized network traffic images. Engineering Applications of Artificial Intelligence. 126. 107169–107169. 16 indexed citations
13.
Wong, Joshua A., et al.. (2023). Uncertainty-Quantified, Robust Deep Learning for Network Intrusion Detection. 31. 2470–2481. 3 indexed citations
14.
Shah, Ankit, et al.. (2023). Deep VULMAN: A deep reinforcement learning-enabled cyber vulnerability management framework. Expert Systems with Applications. 221. 119734–119734. 14 indexed citations
15.
Zhang, Lei, et al.. (2023). Explainable Learning-Based Intrusion Detection Supported by Memristors. 195–196. 4 indexed citations
16.
Bastian, Nathaniel D., et al.. (2021). Machine learning raw network traffic detection. 24–24. 18 indexed citations
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Bastian, Nathaniel D., et al.. (2021). CHALLENGES AND OPPORTUNITIES FOR GENERATIVE METHODS IN THE CYBER DOMAIN. 1. 1–12. 4 indexed citations
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Bastian, Nathaniel D.. (2019). Information Warfare and its 18th and 19th Century Roots. 4(3). 31. 4 indexed citations
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Bastian, Nathaniel D., et al.. (2016). The Impact of a Pay-for-Performance Program on Central Line–Associated Blood Stream Infections in Pennsylvania. Hospital Topics. 94(1). 8–14. 9 indexed citations
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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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