Neal Wagner

645 total citations
33 papers, 412 citations indexed

About

Neal Wagner is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Neal Wagner has authored 33 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 16 papers in Information Systems and 7 papers in Artificial Intelligence. Recurrent topics in Neal Wagner's work include Network Security and Intrusion Detection (15 papers), Information and Cyber Security (15 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Neal Wagner is often cited by papers focused on Network Security and Intrusion Detection (15 papers), Information and Cyber Security (15 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Neal Wagner collaborates with scholars based in United States, Australia and Poland. Neal Wagner's co-authors include Vikas Agrawal, Zbigniew Michalewicz, Moutaz Khouja, Rob Roy McGregor, James Riordan, Cem Şahin, William Streilein, Guillermo Leguizamón, Arvind Mohais and Una-May O’Reilly and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Evolutionary Computation and Soft Computing.

In The Last Decade

Neal Wagner

31 papers receiving 396 citations

Peers

Neal Wagner
Comparison fields: 5 of 70
  • Artificial Intelligence 136
  • Ocean Engineering 112
  • Computer Networks and Communications 94
  • Information Systems 75
  • Transportation 71
Replace Miguel A. López-Carmona with:
Miguel A. López-Carmona Spain
Chao Shen United States
Gabriel Santos Portugal
Shenggong Ji China
Haitao Yuan China
Eleana Asimakopoulou United Kingdom
Jinyun Xue China
Peter Foytik United States
Mass Soldal Lund Norway
Noureddine Bouhmala Norway
Miguel A. López-Carmona Spain View profile →
Citations per field, relative to Neal Wagner
Neal Wagner · 1×
Citations per year, relative to Neal Wagner
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Countries citing papers authored by Neal Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Neal Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neal Wagner

This figure shows the co-authorship network connecting the top 25 collaborators of Neal Wagner. A scholar is included among the top collaborators of Neal Wagner 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 Neal Wagner. Neal Wagner 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
# Work Indexed citations
1 1
2 6
3 3
4 3
5 3
6 3
7 5
8 5
9 7
10
A Model of Network Porosity
5
11 7
12 2
13 1
14 17
15 2
16 5
17
Genetic programming with efficient population control for financial time series prediction
7
18 5
19 85
20 14

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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