James Nicholson

1.1k citations
41 papers · 693 · h-index 16

Impact in

Papers in

James Nicholson

40 papers receiving 651 citations

Peers

James Nicholson
Comparison fields: 5 of 105
  • Human-Computer Interaction 176
  • Signal Processing 151
  • Information Systems 244
  • Demography 91
  • Computer Vision and Pattern Recognition 104
Replace Wan Fatimah Wan Ahmad with:
Wan Fatimah Wan Ahmad Malaysia
Rajesh Vasa Australia
Malin Eiband Germany
Gernot Bauer Germany
Frank Hopfgartner United Kingdom
Daisy Yoo United States
Stéphane Conversy France
Timothy Sohn United States
Seungwoo Kang South Korea
Heather Molyneaux Canada
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Citations per field
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Citations per year

Countries citing papers authored by James Nicholson

Since Specialization
Citations

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

Fields of papers citing papers by James Nicholson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201089
2 201451
3 201248
4 201947
5 196341
6 201340
7 201740
8 200837
9 200732
10 202130
11 201329
12
Can we fight social engineering attacks by social means? Assessing social salience as a means to improve phish detection
201724
13 200818
14 201316
15 202315
16 202015
17 201315
18 201910
19 19638
20 20168

About James Nicholson

James Nicholson is a scholar working on Sociology and Political Science, Information Systems, Signal Processing, Demography and Human-Computer Interaction, having authored 41 papers that have together received 693 indexed citations. Recurring topics across this work include User Authentication and Security Systems (11 papers), Privacy, Security, and Data Protection (9 papers), Technology Use by Older Adults (6 papers), Innovative Human-Technology Interaction (5 papers), Spam and Phishing Detection (4 papers), Biometric Identification and Security (3 papers), Impact of Technology on Adolescents (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Human-Computer Interaction (176 citations), Signal Processing (151 citations), Information Systems (244 citations), Demography (91 citations) and Computer Vision and Pattern Recognition (104 citations). James Nicholson has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Pam Briggs, Lynne Coventry, Patrick Olivier, Paul Dunphy, Aftab Khan, Thomas Plötz, Jacob L. Jones, Jonathan Hook, David W. Kim and John William Nicholson. Their work appears in journals such as Frontiers in Psychology, Proceedings of the ACM on Human-Computer Interaction, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Human-Computer Interaction and Age and Ageing.

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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