Nicole Beebe

1.8k total citations · 1 hit paper
41 papers, 990 citations indexed

About

Nicole Beebe is a scholar working on Information Systems, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nicole Beebe has authored 41 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Information Systems, 10 papers in Sociology and Political Science and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nicole Beebe's work include Digital and Cyber Forensics (16 papers), Information and Cyber Security (12 papers) and Digital Media Forensic Detection (9 papers). Nicole Beebe is often cited by papers focused on Digital and Cyber Forensics (16 papers), Information and Cyber Security (12 papers) and Digital Media Forensic Detection (9 papers). Nicole Beebe collaborates with scholars based in United States and Chile. Nicole Beebe's co-authors include Jan Guynes Clark, Kim‐Kwang Raymond Choo, Paul Rad, Gonzalo De La Torre Parra, Xiaolu Zhang, Lishu Liu, Michele Maasberg, V. Srinivasan Rao, Minghe Sun and J.E. Warren and has published in prestigious journals such as Communications of the ACM, IEEE Access and IEEE Internet of Things Journal.

In The Last Decade

Nicole Beebe

38 papers receiving 890 citations

Hit Papers

Detecting Internet of Things attacks using distributed de... 2020 2026 2022 2024 2020 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Detecting Internet of Things attacks using distributed deep learning
    2020 219 citations Paul Rad, Kim‐Kwang Raymond Choo et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicole Beebe United States 15 604 483 324 290 226 41 990
Sagar Samtani United States 22 763 1.3× 454 0.9× 418 1.3× 417 1.4× 121 0.5× 74 1.4k
Gregory Conti United States 16 335 0.6× 247 0.5× 337 1.0× 294 1.0× 259 1.1× 66 895
Lam For Kwok Hong Kong 21 453 0.8× 329 0.7× 736 2.3× 380 1.3× 100 0.4× 94 1.3k
Ben Martini Australia 17 781 1.3× 527 1.1× 243 0.8× 284 1.0× 150 0.7× 31 1.0k
Paul Haskell‐Dowland Australia 15 313 0.5× 227 0.5× 276 0.9× 173 0.6× 75 0.3× 71 714
Frank Breitinger United States 23 1.2k 2.0× 1.0k 2.1× 253 0.8× 322 1.1× 611 2.7× 82 1.6k
Katharina Krombholz Germany 16 626 1.0× 306 0.6× 262 0.8× 224 0.8× 51 0.2× 48 987
Ibrahim Baggili United States 21 1.3k 2.2× 1.0k 2.2× 213 0.7× 309 1.1× 526 2.3× 87 1.6k
Markus Huber Austria 15 807 1.3× 463 1.0× 352 1.1× 349 1.2× 54 0.2× 40 1.1k
Alex Ng Australia 14 384 0.6× 257 0.5× 376 1.2× 293 1.0× 34 0.2× 25 821

Countries citing papers authored by Nicole Beebe

Since Specialization
Citations

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

Fields of papers citing papers by Nicole Beebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicole Beebe

This figure shows the co-authorship network connecting the top 25 collaborators of Nicole Beebe. A scholar is included among the top collaborators of Nicole Beebe 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 Nicole Beebe. Nicole Beebe 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.
Beebe, Nicole, et al.. (2025). Lateral Phishing With Large Language Models: A Large Organization Comparative Study. IEEE Access. 13. 60684–60701. 1 indexed citations
2.
3.
Beebe, Nicole, et al.. (2023). Virtual reality for improving cyber situational awareness in security operations centers. Computers & Security. 132. 103368–103368. 8 indexed citations
4.
Beebe, Nicole, et al.. (2022). Deepfake forensics analysis: An explainable hierarchical ensemble of weakly supervised models. Forensic Science International Synergy. 4. 100217–100217. 36 indexed citations
5.
Beebe, Nicole, et al.. (2022). A literature survey of security issues in Cloud, Fog, and Edge IT infrastructure. Electronic Commerce Research. 25(2). 705–739. 5 indexed citations
6.
Zhang, Xiaolu, et al.. (2020). IoT Botnet Forensics: A Comprehensive Digital Forensic Case Study on Mirai Botnet Servers. Forensic Science International Digital Investigation. 32. 300926–300926. 52 indexed citations
7.
Zhang, Xiaolu, et al.. (2019). Frameup: An incriminatory attack on Storj: A peer to peer blockchain enabled distributed storage system. Digital Investigation. 29. 28–42. 19 indexed citations
8.
Rad, Paul, et al.. (2019). Cooperative unmanned aerial vehicles with privacy preserving deep vision for real-time object identification and tracking. Journal of Parallel and Distributed Computing. 131. 147–160. 23 indexed citations
9.
Beebe, Nicole, et al.. (2018). Cyberbullying: Investigating the Roles of Power and Communication Medium.. Journal of the Association for Information Systems. 2 indexed citations
10.
Rad, Paul, Mehdi Roopaei, Nicole Beebe, Mehdi Shadaram, & Yoris A. Au. (2018). AI Thinking for Cloud Education Platform with Personalized Learning. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 26 indexed citations
11.
Beebe, Nicole, et al.. (2018). Are Your Neighbors Swingers or Kinksters? Feeld App Forensic Analysis. 70. 1433–1439. 7 indexed citations
12.
Beebe, Nicole, et al.. (2016). Extending Web Mining to Digital Forensics Text Mining. Americas Conference on Information Systems. 3 indexed citations
13.
Beebe, Nicole, et al.. (2016). An Empirical Examination of an Agile Contingent Project/Method Fit Model. Journal of the Association for Information Systems. 39. 267–296. 3 indexed citations
14.
Beebe, Nicole, et al.. (2011). Post-retrieval search hit clustering to improve information retrieval effectiveness: Two digital forensics case studies. Decision Support Systems. 51(4). 732–744. 26 indexed citations
15.
Beebe, Nicole & V. Srinivasan Rao. (2010). Improving Organizational Information Security Strategy via Meso-Level Application of Situational Crime Prevention to the Risk Management Process. Communications of the Association for Information Systems. 26. 33 indexed citations
16.
Clark, Jan Guynes & Nicole Beebe. (2007). Improving information retrieval effectiveness in digital forensic text string searches: clustering search results using self-organizing neural networks. 1 indexed citations
17.
Beebe, Nicole & Jan Guynes Clark. (2006). A Model for Predicting Hacker Behavior. Journal of the Association for Information Systems. 3(3). 3–20. 5 indexed citations
18.
Goles, Tim, et al.. (2006). Moral intensity and ethical decision-making. ACM SIGMIS Database the DATABASE for Advances in Information Systems. 37(2-3). 86–95. 23 indexed citations
19.
Beebe, Nicole & Jan Guynes Clark. (2006). Dealing with Terabyte Data Sets in Digital Investigations. Kluwer Academic Publishers eBooks. 3–16. 9 indexed citations
20.
Beebe, Nicole & Jan Guynes Clark. (2005). A hierarchical, objectives-based framework for the digital investigations process. Digital Investigation. 2(2). 147–167. 198 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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