Nicole Beebe

1.8k citations
41 papers · 1.0k · 1 hit paper · h-index 15

Impact in

    • Advanced Malware Detection Techniques
    • Digital and Cyber Forensics
    • Information and Cyber Security
    • Cybercrime and Law Enforcement Studies

Papers in

Nicole Beebe

38 papers receiving 918 citations

Nicole Beebe's Hit Papers

Detecting Internet of Things attacks using distributed deep learning 2020 · 224 citations
2240+2+4Years since publication50100150200

Peers

Nicole Beebe
Comparison fields: 5 of 76
  • Signal Processing 486
  • Information Systems 610
  • Computer Networks and Communications 328
  • Computer Vision and Pattern Recognition 227
  • Artificial Intelligence 292
Replace Sagar Samtani with:
Sagar Samtani United States
Gregory Conti United States
Paul Haskell‐Dowland Australia
Katharina Krombholz Germany
Ben Martini Australia
Frank Breitinger United States
Markus Huber Austria
Ibrahim Baggili United States
Michael Backes Germany
Zubair Shafiq United States
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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-authors

The 25 scholars most cited alongside Nicole Beebe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nicole Beebe Line = papers co-authored together Nicole Beebe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Detecting Internet of Things attacks using distributed deep learning
Hit paper breakdown →
2020224
2 2005198
3 200766
4 202054
5 201353
6 202237
7 201537
8 201935
9 201034
10 201126
11 201826
12 200623
13 201922
14 201920
15 201417
16 202013
17 200911
18 20239
19 20099
20 20069

About Nicole Beebe

Nicole Beebe is a scholar working on Information Systems, Sociology and Political Science, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Digital and Cyber Forensics (16 papers), Information and Cyber Security (12 papers), Digital Media Forensic Detection (9 papers), Cybercrime and Law Enforcement Studies (9 papers), Advanced Malware Detection Techniques (8 papers), Network Security and Intrusion Detection (6 papers), Data Quality and Management (3 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Signal Processing (486 citations), Information Systems (610 citations), Computer Networks and Communications (328 citations), Computer Vision and Pattern Recognition (227 citations) and Artificial Intelligence (292 citations). Nicole Beebe has collaborated with scholars based in United States and Chile. Frequent 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. Their work appears in journals such as Journal of the Association for Information Systems, Digital Investigation, IEEE Internet of Things Journal, Forensic Science International Digital Investigation and Computers & Security.

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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