L.T. Heberlein

2.3k total citations · 1 hit paper
8 papers, 1.4k citations indexed

About

L.T. Heberlein is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, L.T. Heberlein has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 5 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in L.T. Heberlein's work include Network Security and Intrusion Detection (7 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Advanced Malware Detection Techniques (4 papers). L.T. Heberlein is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Advanced Malware Detection Techniques (4 papers). L.T. Heberlein collaborates with scholars based in United States. L.T. Heberlein's co-authors include Karl Levitt, Biswanath Mukherjee, Gihan Dias, Jason M. Wood, David Wolber, Matt Bishop and Terrance Goan and has published in prestigious journals such as Molecular Plant and IEEE Network.

In The Last Decade

L.T. Heberlein

8 papers receiving 1.2k citations

Hit Papers

Network intrusion detection 1994 2026 2004 2015 1994 200 400 600

Peers

L.T. Heberlein
Comparison fields: 5 of 43
  • Computer Networks and Communications 1.3k
  • Artificial Intelligence 861
  • Signal Processing 609
  • Information Systems 232
  • Hardware and Architecture 207
Replace David J. Fried with:
David J. Fried United States
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Diego Zamboni United States
Andreas Wespi Switzerland
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Yibo Xue China
Augustin Soule United States
Evan Cooke United States
Prahlad Fogla United States
Alefiya Hussain United States
David J. Fried United States View profile →
Citations per field, relative to L.T. Heberlein
L.T. Heberlein · 1×
Citations per year, relative to L.T. Heberlein
L.T. Heberlein · 1×

Countries citing papers authored by L.T. Heberlein

Since Specialization
Citations

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

Fields of papers citing papers by L.T. Heberlein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L.T. Heberlein

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 2
2 171
3 29
4
Attack class: address spoofing
40
5
DIDS (distributed intrusion detection system)—motivation, architecture, and an early prototype
239
6
An Isolated Network for Research
7
7
Network intrusion detection breakdown →
682
8 230

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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