Daniel Woods

672 citations
40 papers · 390 · h-index 10

Impact in

Papers in

Daniel Woods

37 papers receiving 367 citations

Peers

Daniel Woods
Comparison fields: 5 of 48
  • Information Systems 259
  • Computer Networks and Communications 77
  • Signal Processing 34
  • Sociology and Political Science 111
  • Safety Research 18
Replace Clare Sullivan with:
Clare Sullivan United States
Ian Walden United Kingdom
Alana Maurushat Australia
Danilo Doneda Brazil
Zev Winkelman United States
Maria Bada United Kingdom
Sallam Abualhaija Luxembourg
Monica Lagazio South Africa
Keshnee Padayachee South Africa
Steve Mansfield-Devine
Daniel Woods relative to Clare Sullivan United States Clare Sullivan's profile →
Citations per field
00.5×2.8×
Clare Sullivan · 1×
Citations per year

Countries citing papers authored by Daniel Woods

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Woods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Daniel Woods, 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 Woods Line = papers co-authored together Daniel Woods links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201749
2 202047
3 201741
4 202136
5 201936
6 202125
7 202017
8 202116
9 202110
10
The County Fair Cyber Loss Distribution:Drawing Inferences from Insurance Prices
20199
11 20229
12 20229
13 20217
14 20187
15 20227
16 20226
17 20216
18 20236
19 19965
20 20235

About Daniel Woods

Daniel Woods is a scholar working on Information Systems, Sociology and Political Science, Computer Networks and Communications, Artificial Intelligence and Management Science and Operations Research, having authored 40 papers that have together received 390 indexed citations. Recurring topics across this work include Cybercrime and Law Enforcement Studies (19 papers), Information and Cyber Security (17 papers), Network Security and Intrusion Detection (9 papers), Privacy, Security, and Data Protection (7 papers), Cybersecurity and Cyber Warfare Studies (5 papers), Experimental Behavioral Economics Studies (3 papers), Auction Theory and Applications (3 papers) and Privacy-Preserving Technologies in Data (3 papers). The work is most often cited by research in Information Systems (259 citations), Computer Networks and Communications (77 citations), Signal Processing (34 citations), Sociology and Political Science (111 citations) and Safety Research (18 citations). Daniel Woods has collaborated with scholars based in United Kingdom, Austria and United States. Frequent co-authors include Rainer Böhme, Andrew Simpson, Tyler Moore, Ioannis Agrafiotis, Jason R. C. Nurse, Sadie Creese, Jessica Weinkle, Sean Devine, Kami Vaniea and Daniel Schwarcz. Their work appears in journals such as Communications of the ACM, Computers & Security, Journal of Cybersecurity, IEEE Security & Privacy and Games and Economic Behavior.

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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