Jonathan Spring

15.4k citations
48 papers · 623 · h-index 13

Impact in

    • Advanced Malware Detection Techniques
    • Information and Cyber Security
    • Spam and Phishing Detection
    • Cloud Computing and Resource Management
    • Cloud Data Security Solutions

Papers in

Jonathan Spring

46 papers receiving 582 citations

Peers

Jonathan Spring
Comparison fields: 5 of 60
  • Signal Processing 192
  • Information Systems 395
  • Computer Networks and Communications 301
  • Artificial Intelligence 169
  • Information Systems and Management 26
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Spring

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Spring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The long Taile of typosquatting domain names
201493
2 201175
3 202073
4 201449
5 201728
6 201126
7 199325
8 202125
9 201525
10 201419
11 201815
12 201815
13 201414
14
The Impact of Passive DNS Collection on End-user Privacy
201212
15 201711
16 201810
17 20239
18 20189
19
Historical Analysis of Exploit Availability Timelines
20207
20 20147

About Jonathan Spring

Jonathan Spring is a scholar working on Information Systems, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Electrical and Electronic Engineering, having authored 48 papers that have together received 623 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (21 papers), Network Security and Intrusion Detection (19 papers), Information and Cyber Security (12 papers), Spam and Phishing Detection (10 papers), Internet Traffic Analysis and Secure E-voting (6 papers), User Authentication and Security Systems (5 papers), Advanced Photonic Communication Systems (3 papers) and Advanced Optical Network Technologies (3 papers). The work is most often cited by research in Signal Processing (192 citations), Information Systems (395 citations), Computer Networks and Communications (301 citations), Artificial Intelligence (169 citations) and Information Systems and Management (26 citations). Jonathan Spring has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include G. Cseh, Chris Kanich, Márk Félegyházi, David Pym, R.S. Tucker, Tyler Moore, Timothy J. Shimeall, Allen D. Householder, Matthew Greenway and Megan E. McNerney. Their work appears in journals such as Philosophy & Technology, IEEE Security & Privacy, Electronics Letters, Journal of the American Medical Informatics Association and European Journal for Philosophy of Science.

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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