Joel Scanlan

40 papers receiving 347 citations

Peers

Joel Scanlan
Comparison fields: 5 of 108
  • Computer Science Applications 45
  • Health Informatics 7
  • Urology 28
  • Applied Psychology 22
  • Health Information Management 18
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Sí­lvio César Cazella Brazil
Robin De Croon Belgium
Al Amin Biswas Bangladesh
Michael Glass United States
Francisco de Arriba-Pérez Spain
Surina He Canada
Hafiz Syed Muhammad Bilal South Korea
Yan Hu Sweden
Manuel Schmidt-Kraepelin Germany
Mary Jane C. Samonte Philippines
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Citations per year

Countries citing papers authored by Joel Scanlan

Since Specialization
Citations

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

Fields of papers citing papers by Joel Scanlan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201856
2 201846
3
Catching spam before it arrives: domain specific dynamic blacklists
200642
4 200231
5 201528
6 202025
7 202017
8 200915
9 201111
10 20108
11 20228
12 20247
13 20237
14 20166
15 20126
16 20195
17 20145
18 20034
19 20184
20
New Internet Satellite Constellations to Increase Cyber Risk in Ill-Prepared Industries
20194

About Joel Scanlan

Joel Scanlan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Social Psychology and Clinical Psychology, having authored 43 papers that have together received 374 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (6 papers), Advanced Malware Detection Techniques (3 papers), Information and Cyber Security (3 papers), Network Packet Processing and Optimization (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Identification and Quantification in Food (3 papers), Gender, Feminism, and Media (3 papers) and Maritime Navigation and Safety (3 papers). The work is most often cited by research in Computer Science Applications (45 citations), Health Informatics (7 citations), Urology (28 citations), Applied Psychology (22 citations) and Health Information Management (18 citations). Joel Scanlan has collaborated with scholars based in Australia, United Kingdom and Norway. Frequent co-authors include Kenneth C. Kirkby, A Fluck, Allison Matthews, Paul Turner, James Montgomery, Caroline Spiranovic, R. C. L. FENELEY, Margareta Lützhöft, Max Woolley and J. D. Parkin. Their work appears in journals such as Food Control, WMU Journal of Maritime Affairs, Future Internet, IET Intelligent Transport Systems and The Aeronautical Journal.

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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