Daniel Prince

712 citations
35 papers · 452 · h-index 10

Impact in

Papers in

Daniel Prince

31 papers receiving 424 citations

Peers

Daniel Prince
Comparison fields: 5 of 70
  • Control and Systems Engineering 212
  • Information Systems 197
  • Signal Processing 73
  • Computer Networks and Communications 154
  • Software 20
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Prince

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Prince

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Prince, 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 Daniel Prince Line = papers co-authored together Daniel Prince links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015204
2 201365
3 201824
4 201819
5 202115
6 201515
7
Design and construction of an Industrial Control System testbed
201411
8 201910
9 20219
10
The future of maritime cyber security
20159
11 20149
12
Could a cyber attack cause a systemic impact in the financial sector
20187
13 20177
14 20207
15
Understanding cyber criminals and measuring their future activity
20135
16 20205
17 20184
18 20134
19 20203
20 20203

About Daniel Prince

Daniel Prince is a scholar working on Information Systems, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Artificial Intelligence and Computer Networks and Communications, having authored 35 papers that have together received 452 indexed citations. Recurring topics across this work include Information and Cyber Security (16 papers), Smart Grid Security and Resilience (10 papers), Safety Systems Engineering in Autonomy (10 papers), Software Reliability and Analysis Research (6 papers), Advanced Malware Detection Techniques (6 papers), Network Security and Intrusion Detection (6 papers), Cybercrime and Law Enforcement Studies (4 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (212 citations), Information Systems (197 citations), Signal Processing (73 citations), Computer Networks and Communications (154 citations) and Software (20 citations). Daniel Prince has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include David Hutchison, William Knowles, Kevin Jones, Benjamin Green, Mark Lacy, Ellen A. Skinner, Emily Saxton, Jerry Busby, Andreas Mauthe and Abha Moitra. Their work appears in journals such as Studies In Educational Evaluation, Neurocomputing, Computers & Security, IEEE Security & Privacy and International Journal of Critical Infrastructure Protection.

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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