Michael D. Iannacone

609 total citations
12 papers, 265 citations indexed

About

Michael D. Iannacone is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Michael D. Iannacone has authored 12 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 7 papers in Information Systems and 6 papers in Artificial Intelligence. Recurrent topics in Michael D. Iannacone's work include Network Security and Intrusion Detection (6 papers), Advanced Malware Detection Techniques (4 papers) and Information and Cyber Security (3 papers). Michael D. Iannacone is often cited by papers focused on Network Security and Intrusion Detection (6 papers), Advanced Malware Detection Techniques (4 papers) and Information and Cyber Security (3 papers). Michael D. Iannacone collaborates with scholars based in United States. Michael D. Iannacone's co-authors include Robert A. Bridges, John R. Goodall, Qian Chen, John Gerth, Erik M. Ferragut, Bogdan Czejdo, Bill Kay, Justin M. Beaver, Mingyan Li and Srikanth B. Yoginath and has published in prestigious journals such as PLoS ONE, ACM Computing Surveys and Computers & Security.

In The Last Decade

Michael D. Iannacone

10 papers receiving 251 citations

Peers

Michael D. Iannacone

CNC

AI

IS

SP

MSOR

Sadegh M. Milajerdi United States

Zhengwei Jiang China

Panos Kampanakis United States

Hao Fu United States

Ying Fu China

Pubali Datta United States

Thomas Moyer United States

Abbas Ghaemi Bafghi Iran

Zhuhua Cai United States

Sadegh M. Milajerdi United States

Michael D. Iannacone

340 ×2.0

CNC

198 ×1.3

AI

189 ×1.5

IS

222 ×2.2

SP

24 ×0.6

MSOR

Citations per year, relative to Michael D. Iannacone Michael D. Iannacone (= 1×) peers Sadegh M. Milajerdi

Countries citing papers authored by Michael D. Iannacone

Since Specialization

Citations

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

Fields of papers citing papers by Michael D. Iannacone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael D. Iannacone

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

All Works

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12 of 12 papers shown

1.

Bridges, Robert A., et al.. (2024). A comprehensive guide to CAN IDS data and introduction of the ROAD dataset. PLoS ONE. 19(1). e0296879–e0296879. 15 indexed citations

2.

Bridges, Robert A., et al.. (2023). Beyond the Hype: An Evaluation of Commercially Available Machine Learning–based Malware Detectors. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4(2). 1–22. 1 indexed citations

3.

Bridges, Robert A., et al.. (2023). AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1620–1629.

4.

Li, Mingyan, et al.. (2023). Incremental Threshold Scheme Enabled IoT Group Key Management. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 123–129.

5.

Yoginath, Srikanth B., et al.. (2022). Stealthy Cyber Anomaly Detection On Large Noisy Multi-material 3D Printer Datasets Using Probabilistic Models. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 25–38. 2 indexed citations

6.

Iannacone, Michael D. & Robert A. Bridges. (2020). Quantifiable & comparable evaluations of cyber defensive capabilities: A survey & novel, unified approach. Computers & Security. 96. 101907–101907. 9 indexed citations

7.

Bridges, Robert A., et al.. (2019). A Survey of Intrusion Detection Systems Leveraging Host Data. ACM Computing Surveys. 52(6). 1–35. 89 indexed citations

8.

Bridges, Robert A., et al.. (2017). Cybersecurity Automated Information Extraction Techniques: Drawbacks of Current Methods, and Enhanced Extractors. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 437–442. 16 indexed citations

9.

Bridges, Robert A., et al.. (2016). GraphPrints. 1–4. 19 indexed citations

10.

Iannacone, Michael D., et al.. (2015). Developing an Ontology for Cyber Security Knowledge Graphs. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–4. 88 indexed citations

11.

Czejdo, Bogdan, Michael D. Iannacone, Robert A. Bridges, Erik M. Ferragut, & John R. Goodall. (2014). Integration of external data sources with cyber security data warehouse. 49–52. 2 indexed citations

12.

Bridges, Robert A., et al.. (2013). PACE: Pattern Accurate Computationally Efficient Bootstrapping for Timely Discovery of Cyber-security Concepts. DigitalCommons@Fayetteville State University (Fayetteville State University). 60–65. 24 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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