Erik Hemberg

1.8k citations
84 papers · 747 indexed · h-index 14
Topics
Evolutionary Algorithms and Applications (33 papers)Metaheuristic Optimization Algorithms Research (24 papers)Network Security and Intrusion Detection (12 papers)

In The Last Decade

Erik Hemberg

73 papers receiving 679 citations

Peers

Erik Hemberg
Comparison fields: 5 of 89
  • Artificial Intelligence 454
  • Signal Processing 142
  • Computer Networks and Communications 135
  • Information Systems 107
  • Computational Theory and Mathematics 67
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Dawn Wilkins United States
Viviana Mascardi Italy
Hugo Terashima‐Marín Mexico
Sathiamoorthy Manoharan New Zealand
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Binqiang Zhao China
Vincenzo Deufemia Italy
Susan D. Urban United States
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Citations per field
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Citations per year

Countries citing papers authored by Erik Hemberg

Since Specialization
Citations

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

Fields of papers citing papers by Erik Hemberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Hemberg

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Hemberg. A scholar is included among the top collaborators of Erik Hemberg 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 Erik Hemberg. Erik Hemberg 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
#WorkIndexed citations
1 0
2 1
3 6
4 4
5 1
6 13
7 3
8
Adversarial genetic programming for cyber security: a rising application domain where GP matters
18
9
BRON - Linking Attack Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations.
7
10 3
11 1
12 11
13
Adversarially Adapting Deceptive Views and Reconnaissance Scans on a Software Defined Network
5
14 99
15
An Artificial Coevolutionary Framework for Adversarial AI.
3
16 4
17 11
18 1
19 10
20
GEVA - Grammatical Evolution in Java (v1.0)
4

About Erik Hemberg

Erik Hemberg is a scholar working on Architecture, Artificial Intelligence and Computer Science Applications, having authored 84 papers that have together received 747 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (33 papers), Metaheuristic Optimization Algorithms Research (24 papers) and Network Security and Intrusion Detection (12 papers). The work is most often cited by research in Architecture (22 citations), Artificial Intelligence (454 citations) and Signal Processing (142 citations). Erik Hemberg has collaborated with scholars based in United States, Ireland and Spain. Frequent co-authors include Una-May O’Reilly, Michael O’Neill, James McDermott, Anthony Brabazon, Abdullah Al-Dujaili, Michael Fenton, Jamal Toutouh, Jonathan Byrne, Jonathan Kelly and David Fagan. Their work appears in journals such as Information Sciences, IEEE Transactions on Evolutionary Computation and Automation in Construction.

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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