Terrence J. Moore

1.6k total citations · 1 hit paper
68 papers, 956 citations indexed

About

Terrence J. Moore is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Terrence J. Moore has authored 68 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 23 papers in Electrical and Electronic Engineering and 16 papers in Signal Processing. Recurrent topics in Terrence J. Moore's work include Network Security and Intrusion Detection (23 papers), Software-Defined Networks and 5G (19 papers) and Blind Source Separation Techniques (10 papers). Terrence J. Moore is often cited by papers focused on Network Security and Intrusion Detection (23 papers), Software-Defined Networks and 5G (19 papers) and Blind Source Separation Techniques (10 papers). Terrence J. Moore collaborates with scholars based in United States, Australia and South Korea. Terrence J. Moore's co-authors include Brian M. Sadler, Jin-Hee Cho, Dong Seong Kim, Robert Drost, Richard J. Kozick, Hyuk Lim, Seunghyun Yoon, Frederica F. Nelson, Dilli Prasad Sharma and Hooman Alavizadeh and has published in prestigious journals such as Physical review. B, Condensed matter, IEEE Transactions on Signal Processing and IEEE Communications Surveys & Tutorials.

In The Last Decade

Terrence J. Moore

62 papers receiving 920 citations

Hit Papers

Toward Proactive, Adaptive Defense: A Survey on Moving Ta... 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Terrence J. Moore United States 16 444 287 278 163 136 68 956
Xiaoping Wu China 15 259 0.6× 308 1.1× 102 0.4× 190 1.2× 146 1.1× 123 724
S. Dormido-Canto Spain 19 179 0.4× 190 0.7× 136 0.5× 276 1.7× 41 0.3× 119 1.4k
Ranjan Bose India 19 490 1.1× 734 2.6× 74 0.3× 206 1.3× 50 0.4× 125 1.3k
Rui Valadas Portugal 18 356 0.8× 578 2.0× 58 0.2× 217 1.3× 40 0.3× 76 1.0k
Wanchun Li China 11 161 0.4× 119 0.4× 338 1.2× 342 2.1× 199 1.5× 46 691
João Paulo C. L. da Costa Brazil 17 404 0.9× 371 1.3× 472 1.7× 269 1.7× 125 0.9× 163 1.2k
Chamith Wijenayake Australia 14 644 1.5× 296 1.0× 513 1.8× 567 3.5× 111 0.8× 78 1.3k
William Streilein United States 13 279 0.6× 44 0.2× 243 0.9× 298 1.8× 157 1.2× 37 620
Brian L. Mark United States 24 1.5k 3.4× 1.1k 3.7× 162 0.6× 224 1.4× 54 0.4× 134 2.0k
V. S. Shankar Sriram United States 19 572 1.3× 182 0.6× 192 0.7× 467 2.9× 324 2.4× 103 1.3k

Countries citing papers authored by Terrence J. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Terrence J. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Terrence J. Moore. 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 Terrence J. Moore. The network helps show where Terrence J. Moore may publish in the future.

Co-authorship network of co-authors of Terrence J. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Terrence J. Moore. A scholar is included among the top collaborators of Terrence J. Moore 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 Terrence J. Moore. Terrence J. Moore 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
1.
Kong, Han-Bae, Terrence J. Moore, & Fikadu T. Dagefu. (2025). Joint Routing and Resource Allocation in Covert Multi-Flow Heterogeneous Networks. IEEE Communications Letters. 29(11). 2481–2485.
2.
Kong, Han-Bae, Terrence J. Moore, & Fikadu T. Dagefu. (2024). Decentralized Covert Routing in Heterogeneous Networks Using Reinforcement Learning. IEEE Communications Letters. 28(11). 2683–2687. 2 indexed citations
3.
Cho, Jin-Hee, Terrence J. Moore, Seunghyun Yoon, et al.. (2024). Graphical security modelling for Autonomous Vehicles: A novel approach to threat analysis and defence evaluation. Computers & Security. 150. 104229–104229. 2 indexed citations
4.
Kong, Han-Bae, Fikadu T. Dagefu, & Terrence J. Moore. (2024). Covert Routing in Heterogeneous Networks. IEEE Transactions on Information Forensics and Security. 19. 7047–7059. 2 indexed citations
6.
Hwang, Euiseok, Dong Seong Kim, Jin-Hee Cho, et al.. (2023). Time-Based Moving Target Defense Using Bayesian Attack Graph Analysis. IEEE Access. 11. 40511–40524. 4 indexed citations
8.
Yoon, Seunghyun, et al.. (2022). DIVERGENCE: Deep Reinforcement Learning-Based Adaptive Traffic Inspection and Moving Target Defense Countermeasure Framework. IEEE Transactions on Network and Service Management. 19(4). 4834–4846. 21 indexed citations
9.
Cho, Jin-Hee, et al.. (2022). A Practical Security Evaluation of a Moving Target Defence against Multi-Phase Cyberattacks. 103–110. 2 indexed citations
10.
Moore, Terrence J., et al.. (2021). A Survey on Centrality Metrics and Their Network Resilience Analysis. IEEE Access. 9. 104773–104819. 57 indexed citations
11.
Yoon, Seunghyun, et al.. (2021). DESOLATER: Deep Reinforcement Learning-Based Resource Allocation and Moving Target Defense Deployment Framework. IEEE Access. 9. 70700–70714. 18 indexed citations
12.
Yoon, Seunghyun, et al.. (2020). Attack Graph-Based Moving Target Defense in Software-Defined Networks. IEEE Transactions on Network and Service Management. 17(3). 1653–1668. 49 indexed citations
13.
Zhang, Qisheng, Jin-Hee Cho, Terrence J. Moore, & Ing-Ray Chen. (2020). Vulnerability-Aware Resilient Networks: Software Diversity-Based Network Adaptation. IEEE Transactions on Network and Service Management. 18(3). 3154–3169. 6 indexed citations
14.
Yoon, Seunghyun, Hyuk Lim, Jin-Hee Cho, et al.. (2019). SDN-Based IP Shuffling Moving Target Defense with Multiple SDN Controllers. 15–16. 23 indexed citations
15.
Sharma, Dilli Prasad, Jin-Hee Cho, Terrence J. Moore, et al.. (2019). Random Host and Service Multiplexing for Moving Target Defense in Software-Defined Networks. 1–6. 7 indexed citations
16.
Sharma, Dilli Prasad, Dong Seong Kim, Seunghyun Yoon, et al.. (2018). FRVM: Flexible Random Virtual IP Multiplexing in Software-Defined Networks. 579–587. 46 indexed citations
17.
Drost, Robert, Terrence J. Moore, & Brian M. Sadler. (2011). UV communications channel modeling incorporating multiple scattering interactions. Journal of the Optical Society of America A. 28(4). 686–686. 96 indexed citations
18.
Moore, Terrence J.. (1996). Load monitoring enters the digital age. 21(2). 1 indexed citations
19.
Sachrajda, A. S., et al.. (1989). Evidence for an inhomogeneity size effect in narrowGaAs/AlxGa1xAsconstrictions. Physical review. B, Condensed matter. 39(14). 10460–10463. 17 indexed citations
20.
McClugage, Samuel G., et al.. (1969). Response of the Fetal Mesenteric Microvascular System to Maternal Hypoxia. Experimental Biology and Medicine. 132(2). 636–639. 4 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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