L.T. Heberlein

2.3k citations
8 papers · 1.4k · 1 hit paper · h-index 7

Impact in

Papers in

L.T. Heberlein

8 papers receiving 1.2k citations

L.T. Heberlein's Hit Papers

Network intrusion detection 1994 · 682 citations
6820+10+21Years since publication200400600

Peers

L.T. Heberlein
Comparison fields: 5 of 43
  • Computer Networks and Communications 1.3k
  • Signal Processing 609
  • Hardware and Architecture 207
  • Artificial Intelligence 861
  • Information Systems 232
Replace David J. Fried with:
David J. Fried United States
Kui W. Mok United States
Diego Zamboni United States
Seth Webster United States
Andreas Wespi Switzerland
Augustin Soule United States
W. Timothy Strayer United States
Alefiya Hussain United States
Yi Xie China
Saman Taghavi Zargar United States
L.T. Heberlein relative to David J. Fried United States David J. Fried's profile →
Citations per field
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Citations per year

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-authors

The 7 scholars most cited alongside L.T. Heberlein, 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 L.T. Heberlein Line = papers co-authored together L.T. Heberlein links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Network intrusion detection
Hit paper breakdown →
1994682
2
DIDS (distributed intrusion detection system)—motivation, architecture, and an early prototype
1997239
3 1990230
4 2002171
5
Attack class: address spoofing
199740
6 200229
7
An Isolated Network for Research
19967
8 20172

About L.T. Heberlein

L.T. Heberlein is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Hardware and Architecture and Statistical and Nonlinear Physics, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Network Packet Processing and Optimization (2 papers), Mobile Agent-Based Network Management (2 papers), Complex Network Analysis Techniques (1 paper), Data Management and Algorithms (1 paper) and Artificial Immune Systems Applications (1 paper). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Signal Processing (609 citations), Hardware and Architecture (207 citations), Artificial Intelligence (861 citations) and Information Systems (232 citations). L.T. Heberlein has collaborated with scholars based in United States. Frequent co-authors include Karl Levitt, Biswanath Mukherjee, Gihan Dias, Jason M. Wood, David Wolber, Matt Bishop and Terrance Goan. Their work appears in journals such as IEEE Network and Molecular Plant.

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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