Anthony H. Dekker

36 papers receiving 626 citations

Peers

Anthony H. Dekker
Comparison fields: 5 of 119
  • Computer Vision and Pattern Recognition 195
  • Statistical and Nonlinear Physics 139
  • Computer Networks and Communications 132
  • Artificial Intelligence 95
  • Control and Systems Engineering 52
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Citations per year

Countries citing papers authored by Anthony H. Dekker

Since Specialization
Citations

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

Fields of papers citing papers by Anthony H. Dekker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony H. Dekker. 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 Anthony H. Dekker. The network helps show where Anthony H. Dekker may publish in the future.

Co-authorship network of co-authors of Anthony H. Dekker

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony H. Dekker. A scholar is included among the top collaborators of Anthony H. Dekker 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 Anthony H. Dekker. Anthony H. Dekker 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 1
2 0
3 26
4 7
5
A Taxonomy of Network Centric Warfare Architectures
12
6
What is being done to address the new drug epidemic?
2
7
Planning with time limits in BDI agent programming languages
4
8
MEASURING THE AGILITY OF NETWORKED MILITARY FORCES
22
9 2
10
Conceptual Distance in Social Network Analysis.
40
11
The symmetry ratio of a network
16
12
C4ISR, THE FINC METHODOLOGY, AND OPERATIONS IN URBAN TERRAIN
7
13
Simulating network robustness for critical infrastructure networks
12
14
Scale-Free Networks and Robustness of Critical Infrastructure Networks
11
15
Network robustness and graph topology
98
16
Centralisation and decentralisation in network centric warfare
12
17 39
18 69
19 3
20 133

About Anthony H. Dekker

Anthony H. Dekker is a scholar working on Ecological Modeling, Statistical and Nonlinear Physics and Anesthesiology and Pain Medicine, having authored 40 papers that have together received 682 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Military Strategy and Technology (6 papers) and Logic, Reasoning, and Knowledge (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (139 citations), Computer Vision and Pattern Recognition (195 citations) and Media Technology (51 citations). Anthony H. Dekker has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Margaret R. Paulson, Damien A. Fordham, José M. Montoya, Miguel Lurgi, Arian D. Wallach, Euan G. Ritchie, Sergio Aguilar‐Gaxiola, Vinh Quang Dau, Jodi J. L. Rowley and Duong Thi Thuy Le. Their work appears in journals such as PLoS ONE, Methods in Ecology and Evolution and ACM SIGPLAN Notices.

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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