Frederick T. Sheldon

2.8k total citations
152 papers, 1.7k citations indexed

About

Frederick T. Sheldon is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Frederick T. Sheldon has authored 152 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Networks and Communications, 69 papers in Information Systems and 54 papers in Artificial Intelligence. Recurrent topics in Frederick T. Sheldon's work include Network Security and Intrusion Detection (50 papers), Information and Cyber Security (32 papers) and Advanced Malware Detection Techniques (30 papers). Frederick T. Sheldon is often cited by papers focused on Network Security and Intrusion Detection (50 papers), Information and Cyber Security (32 papers) and Advanced Malware Detection Techniques (30 papers). Frederick T. Sheldon collaborates with scholars based in United States, Saudi Arabia and Tunisia. Frederick T. Sheldon's co-authors include Robert K. Abercrombie, Ananth A. Jillepalli, Mohammad Ashrafuzzaman, Sajjan G. Shiva, Saikat Das, Daniel Conte de Leon, Ali Mili, Abdullah Alqahtani, Yacine Chakhchoukh and Michael Haney and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Frederick T. Sheldon

141 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frederick T. Sheldon United States 20 923 725 605 451 380 152 1.7k
Khaled M. Khan Qatar 16 823 0.9× 951 1.3× 793 1.3× 302 0.7× 326 0.9× 90 1.7k
Rafiqul Islam Australia 21 1.1k 1.2× 739 1.0× 944 1.6× 971 2.2× 112 0.3× 131 2.1k
Stefano Zanero Italy 21 985 1.1× 665 0.9× 710 1.2× 884 2.0× 187 0.5× 109 1.8k
Sajjan G. Shiva United States 18 978 1.1× 669 0.9× 521 0.9× 400 0.9× 249 0.7× 106 1.6k
Peter Mell United States 14 1.2k 1.3× 1.2k 1.7× 458 0.8× 441 1.0× 154 0.4× 46 1.9k
Rinku Dewri United States 16 620 0.7× 595 0.8× 310 0.5× 245 0.5× 140 0.4× 50 1.2k
Mohd Aizaini Maarof Malaysia 22 1.1k 1.1× 675 0.9× 835 1.4× 778 1.7× 138 0.4× 120 2.0k
Igor Nai Fovino Italy 19 728 0.8× 620 0.9× 915 1.5× 358 0.8× 588 1.5× 49 1.8k
Emmanouil Panaousis United Kingdom 21 741 0.8× 540 0.7× 441 0.7× 305 0.7× 201 0.5× 80 1.4k
Zhenyu Wu China 20 606 0.7× 642 0.9× 805 1.3× 883 2.0× 349 0.9× 48 1.8k

Countries citing papers authored by Frederick T. Sheldon

Since Specialization
Citations

This map shows the geographic impact of Frederick T. Sheldon'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 Frederick T. Sheldon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederick T. Sheldon more than expected).

Fields of papers citing papers by Frederick T. Sheldon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frederick T. Sheldon. 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 Frederick T. Sheldon. The network helps show where Frederick T. Sheldon may publish in the future.

Co-authorship network of co-authors of Frederick T. Sheldon

This figure shows the co-authorship network connecting the top 25 collaborators of Frederick T. Sheldon. A scholar is included among the top collaborators of Frederick T. Sheldon 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 Frederick T. Sheldon. Frederick T. Sheldon 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.
Sheldon, Frederick T., et al.. (2026). An Intelligent Sensing Framework for Early Ransomware Detection Using MHSA-LSTM Machine Learning. Sensors. 26(3). 952–952.
2.
Sheldon, Frederick T., et al.. (2025). Taxonomy of Existing Sustainable Smart City IoT Projects. IEEE Access. 13. 130909–130940.
3.
Almutairi, Mohammed M. & Frederick T. Sheldon. (2025). Resilience of Post-Quantum Cryptography in Lightweight IoT Protocols: A Systematic Review. Eng—Advances in Engineering. 6(12). 346–346.
4.
Almutairi, Mohammed M., et al.. (2025). A Deep Learning Framework for Enhanced Detection of Polymorphic Ransomware. Future Internet. 17(7). 311–311.
5.
Sheldon, Frederick T., et al.. (2024). eMIFS: A Normalized Hyperbolic Ransomware Deterrence Model Yielding Greater Accuracy and Overall Performance. Sensors. 24(6). 1728–1728. 4 indexed citations
6.
Sheldon, Frederick T., et al.. (2023). Systematic Review of Recommendation Systems for Course Selection. SHILAP Revista de lepidopterología. 5(2). 560–596. 10 indexed citations
7.
Alqahtani, Abdullah & Frederick T. Sheldon. (2023). Temporal Data Correlation Providing Enhanced Dynamic Crypto-Ransomware Pre-Encryption Boundary Delineation. Sensors. 23(9). 4355–4355. 7 indexed citations
8.
Sheldon, Frederick T., et al.. (2021). An Adaptive Deep-Ensemble Anomaly-Based Intrusion Detection System for the Internet of Things. 187–196. 28 indexed citations
9.
Alqahtani, Abdullah, et al.. (2021). Key Factors Influencing the Rise of Current Ransomware Attacks on Industrial Control Systems. 1417–1422. 7 indexed citations
10.
Abuhussein, Abdullah, et al.. (2020). Fine-Grained Access Control in the Era of Cloud Computing: An Analytical Review. 748–755. 13 indexed citations
11.
Sheldon, Frederick T., Robert K. Abercrombie, & Axel Krings. (2011). Proceedings of the Seventh Annual Workshop on Cyber Security and Information Intelligence Research. 6 indexed citations
12.
Hively, L.M., Frederick T. Sheldon, & Anna Squicciarini. (2010). A Vision for Scalable Trustworthy Computing. IEEE Security & Privacy. 2 indexed citations
13.
Yoo, Seong-Moo, et al.. (2009). Authentication Protocol Using Quantum Superposition States. International journal of network security. 9(2). 101–108. 17 indexed citations
14.
Yoo, Seong-Moo, et al.. (2006). Bank Transfer Over Quantum Channel With Digital Checks. Global Communications Conference. 2 indexed citations
15.
Abercrombie, Robert K., et al.. (2006). Oak Ridge National Laboratory's (ORNL) Weigh-In-Motion (WIM) Configuration and Data Management Activities. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
16.
Sheldon, Frederick T., et al.. (2004). Multi-Agent System Case Studies in Command and Control, Information Fusion and Datat Managment.. Informatica (slovenia). 28. 78–89. 3 indexed citations
17.
Potok, Thomas E., et al.. (2003). Suitability of Agent-Based Systems for Command and Control in Fault-Tolerant, Safety-Critical Responsive Decision Networks.. 283–290. 11 indexed citations
18.
Sheldon, Frederick T., et al.. (2002). Examining Coincident Failures and Usage Profiles in Reliability Analysis of an Embedded Vehicle Sub-System. 558–563. 5 indexed citations
19.
Sheldon, Frederick T., et al.. (2000). Specification, Safety and Reliability Analysis Using Stochastic Petri Net Models. 123–132. 12 indexed citations
20.
Sheldon, Frederick T.. (1998). Analysis of Real-Time Concurrent System Models based on CSP Using Stochastic Petri Nets. 776–783. 3 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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