Benjamin Turnbull

3.5k total citations · 4 hit papers
76 papers, 2.1k citations indexed

About

Benjamin Turnbull is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Benjamin Turnbull has authored 76 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Information Systems, 30 papers in Artificial Intelligence and 26 papers in Computer Networks and Communications. Recurrent topics in Benjamin Turnbull's work include Network Security and Intrusion Detection (21 papers), Advanced Malware Detection Techniques (19 papers) and Digital and Cyber Forensics (16 papers). Benjamin Turnbull is often cited by papers focused on Network Security and Intrusion Detection (21 papers), Advanced Malware Detection Techniques (19 papers) and Digital and Cyber Forensics (16 papers). Benjamin Turnbull collaborates with scholars based in Australia, United States and China. Benjamin Turnbull's co-authors include Nour Moustafa, Kim‐Kwang Raymond Choo, Jiankun Hu, Marwa Keshk, Jill Slay, Zahir Tari, Dinusha Vatsalan, Nasrin Sohrabi, Erwin Adi and Yi Xie and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Benjamin Turnbull

68 papers receiving 2.0k citations

Hit Papers

An Ensemble Intrusion Detection Technique Based on Propos... 2018 2026 2020 2023 2018 2020 2022 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Turnbull Australia 19 1.3k 1.2k 773 754 242 76 2.1k
Stefano Zanero Italy 21 985 0.8× 710 0.6× 665 0.9× 884 1.2× 187 0.8× 109 1.8k
Shailendra Rathore South Korea 22 1.4k 1.1× 809 0.7× 1.3k 1.6× 438 0.6× 143 0.6× 38 2.3k
Martin Henze Germany 21 1.0k 0.8× 832 0.7× 758 1.0× 316 0.4× 153 0.6× 69 1.7k
Rafiqul Islam Australia 21 1.1k 0.9× 944 0.8× 739 1.0× 971 1.3× 112 0.5× 131 2.1k
Randhir Kumar India 22 1.2k 0.9× 771 0.6× 1.3k 1.7× 324 0.4× 152 0.6× 43 2.1k
Rakesh Tripathi India 29 1.8k 1.4× 1.2k 1.0× 1.5k 2.0× 612 0.8× 207 0.9× 55 3.0k
Charles Kamhoua United States 25 1.2k 1.0× 620 0.5× 1.5k 2.0× 402 0.5× 179 0.7× 137 2.3k
Igor Kotenko Russia 23 1.4k 1.1× 633 0.5× 853 1.1× 447 0.6× 584 2.4× 332 2.1k
Adnan Akhunzada Pakistan 27 1.4k 1.1× 733 0.6× 725 0.9× 486 0.6× 150 0.6× 139 2.3k
Nitin Naik United Kingdom 22 1.1k 0.9× 665 0.6× 863 1.1× 446 0.6× 102 0.4× 99 2.0k

Countries citing papers authored by Benjamin Turnbull

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Turnbull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Turnbull

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Turnbull. A scholar is included among the top collaborators of Benjamin Turnbull 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 Benjamin Turnbull. Benjamin Turnbull 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
2.
Keshk, Marwa, et al.. (2025). Vulnerability defence using hybrid moving target defence in Internet of Things systems. Computers & Security. 153. 104380–104380. 2 indexed citations
3.
Zhang, Zhibo, Benjamin Turnbull, H. R. Pota, et al.. (2025). A survey on resilient microgrid system from cybersecurity perspective. Applied Soft Computing. 175. 113088–113088. 3 indexed citations
4.
Moustafa, Nour, et al.. (2025). DT-BFL: Digital Twins for Blockchain-enabled Federated Learning in Internet of Things networks. Ad Hoc Networks. 178. 103934–103934. 1 indexed citations
5.
Turnbull, Benjamin, et al.. (2025). UNSW-MG24: A Heterogeneous Dataset for Cybersecurity Analysis in Realistic Microgrid Systems. IEEE Open Journal of the Computer Society. 6. 543–553. 2 indexed citations
6.
Koroniotis, Nickolaos, et al.. (2025). Generative fuzzer-driven vulnerability detection in the Internet of Things networks. Applied Soft Computing. 174. 112973–112973. 2 indexed citations
7.
Turnbull, Benjamin, et al.. (2023). A Holistic Review of Cyber–Physical–Social Systems: New Directions and Opportunities. Sensors. 23(17). 7391–7391. 12 indexed citations
8.
Yamany, Waleed, Marwa Keshk, Nour Moustafa, & Benjamin Turnbull. (2023). Swarm Optimization-Based Federated Learning for the Cyber Resilience of Internet of Things Systems Against Adversarial Attacks. IEEE Transactions on Consumer Electronics. 70(1). 1359–1369. 6 indexed citations
9.
Barlow, Michael, et al.. (2023). Reinforcement Learning Agents Playing Ticket to Ride–A Complex Imperfect Information Board Game With Delayed Rewards. IEEE Access. 11. 60737–60757. 3 indexed citations
10.
Williams, Peter, et al.. (2023). On Benchmarking and Validation in Wargames. 22(1). 533–543.
11.
Turnbull, Benjamin, et al.. (2022). CNA-TCC: Campaign Network Attribute Based Thematic Campaign Classification. IEEE Transactions on Computational Social Systems. 11(4). 4636–4648. 1 indexed citations
12.
Turnbull, Benjamin, et al.. (2021). Social media influence, trust, and conflict: An interview based study of leadership perceptions. Technology in Society. 68. 101836–101836. 12 indexed citations
13.
Yamany, Waleed, Nour Moustafa, & Benjamin Turnbull. (2021). OQFL: An Optimized Quantum-Based Federated Learning Framework for Defending Against Adversarial Attacks in Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. 24(1). 893–903. 47 indexed citations
14.
Turnbull, Benjamin, et al.. (2020). Semantically Modeling Cyber Influence Campaigns (CICs): Ontology Model and Case Studies. IEEE Access. 9. 9365–9382. 5 indexed citations
15.
Keshk, Marwa, Benjamin Turnbull, Nour Moustafa, Dinusha Vatsalan, & Kim‐Kwang Raymond Choo. (2019). A Privacy-Preserving-Framework-Based Blockchain and Deep Learning for Protecting Smart Power Networks. IEEE Transactions on Industrial Informatics. 16(8). 5110–5118. 143 indexed citations
16.
Moustafa, Nour, Benjamin Turnbull, & Kim‐Kwang Raymond Choo. (2018). Towards Automation of Vulnerability and Exploitation Identification in IIoT Networks. 139–145. 13 indexed citations
17.
Turnbull, Benjamin, et al.. (2015). System of systems cyber effects simulation ontology. 2015 Winter Simulation Conference (WSC). 2475–2486. 2 indexed citations
18.
Turnbull, Benjamin, et al.. (2013). An overview of the parallax BattleMind v1.5 for computer network defence. 12(3). 31–37. 3 indexed citations
19.
Turnbull, Benjamin, Barry G. Blundell, & Jill Slay. (2006). Google Desktop as a Source of Digital Evidence. 5. 4 indexed citations
20.
Slay, Jill & Benjamin Turnbull. (2006). The Need for a Technical Approach to Digital Forensic Evidence Collection for Wireless Technologies. 124–132. 7 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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