Gideon Creech

1.5k total citations
10 papers, 810 citations indexed

About

Gideon Creech is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Gideon Creech has authored 10 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 5 papers in Signal Processing. Recurrent topics in Gideon Creech's work include Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Advanced Malware Detection Techniques (5 papers). Gideon Creech is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Advanced Malware Detection Techniques (5 papers). Gideon Creech collaborates with scholars based in Australia, United States and China. Gideon Creech's co-authors include Jiankun Hu, Nour Moustafa, Jill Slay, Nasrin Sohrabi, Zahir Tari, Igor Linkov, Waqas Haider, Yi Xie, Frank Jiang and Benjamin Turnbull and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Computers and Future Internet.

In The Last Decade

Gideon Creech

10 papers receiving 766 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gideon Creech Australia	7	719	586	495	127	68	10	810
Markus Ring Germany	7	672 0.9×	569 1.0×	377 0.8×	92 0.7×	60 0.9×	11	781
Eduardo K. Viegas Brazil	13	458 0.6×	355 0.6×	289 0.6×	92 0.7×	61 0.9×	58	591
Mengmeng Ge Australia	12	587 0.8×	311 0.5×	356 0.7×	180 1.4×	96 1.4×	22	669
Muhammad Hanif Durad Pakistan	11	412 0.6×	216 0.4×	219 0.4×	107 0.8×	54 0.8×	36	489
Basil AsSadhan Saudi Arabia	14	317 0.4×	284 0.5×	173 0.3×	99 0.8×	36 0.5×	34	451
Giampaolo Bovenzi Italy	10	423 0.6×	371 0.6×	208 0.4×	55 0.4×	41 0.6×	23	516
Padmalochan Bera India	16	589 0.8×	352 0.6×	248 0.5×	204 1.6×	126 1.9×	71	752
Yazan Otoum Canada	10	401 0.6×	297 0.5×	227 0.5×	67 0.5×	46 0.7×	17	488
Ali A. Ghorbani Canada	10	337 0.5×	235 0.4×	195 0.4×	94 0.7×	60 0.9×	23	451
Mojtaba Eskandari Iran	9	407 0.6×	240 0.4×	316 0.6×	107 0.8×	51 0.8×	12	485

Countries citing papers authored by Gideon Creech

Since Specialization

Citations

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

Fields of papers citing papers by Gideon Creech

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gideon Creech

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

All Works

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10 of 10 papers shown

Moustafa, Nour, et al.. (2022). An Explainable Deep Learning Framework for Resilient Intrusion Detection in IoT-Enabled Transportation Networks. IEEE Transactions on Intelligent Transportation Systems. 24(1). 1000–1014. 106 indexed citations

Turnbull, Benjamin, et al.. (2018). Volatile Memory Forensics Acquisition Efficacy. 1–11. 8 indexed citations

Creech, Gideon. (2017). New approach to return-oriented programming exploitation mitigation. Information Security Journal A Global Perspective. 26(3). 105–120. 2 indexed citations

Moustafa, Nour, Jill Slay, & Gideon Creech. (2017). Novel Geometric Area Analysis Technique for Anomaly Detection Using Trapezoidal Area Estimation on Large-Scale Networks. IEEE Transactions on Big Data. 5(4). 481–494. 193 indexed citations

Haider, Waqas, Gideon Creech, Yi Xie, & Jiankun Hu. (2016). Windows Based Data Sets for Evaluation of Robustness of Host Based Intrusion Detection Systems (IDS) to Zero-Day and Stealth Attacks. Future Internet. 8(3). 29–29. 44 indexed citations

Creech, Gideon & Jiankun Hu. (2013). Generation of a new IDS test dataset: Time to retire the KDD collection. 4487–4492. 217 indexed citations

Creech, Gideon & Jiankun Hu. (2013). A Semantic Approach to Host-Based Intrusion Detection Systems Using Contiguousand Discontiguous System Call Patterns. IEEE Transactions on Computers. 63(4). 807–819. 227 indexed citations

Creech, Gideon & Frank Jiang. (2012). Semantics based multi-layered networks for spam email detection. AIP conference proceedings. 1518–1523. 1 indexed citations

Creech, Gideon & Frank Jiang. (2012). The application of extreme learning machines to the network intrusion detection problem. AIP conference proceedings. 10 indexed citations

10.

Proctor, Michael D. & Gideon Creech. (2001). Object-oriented modeling of patients in a medical federation. IEEE Transactions on Information Technology in Biomedicine. 5(3). 244–247. 2 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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