Nathan W. Twyman

900 citations
31 papers · 652 indexed · h-index 12

Nathan W. Twyman

31 papers receiving 594 citations

Peers

Nathan W. Twyman
Comparison fields: 5 of 74
  • Information Systems and Management 203
  • Human-Computer Interaction 63
  • Marketing 85
  • Computer Science Applications 47
  • Social Psychology 159
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Citations per year

Countries citing papers authored by Nathan W. Twyman

Since Specialization
Citations

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

Fields of papers citing papers by Nathan W. Twyman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan W. Twyman. 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 Nathan W. Twyman. The network helps show where Nathan W. Twyman may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202212
2 20208
3 20204
4 20181
5
Cybersecurity: Personal Information and Password Setup
20182
6 20166
7 201617
8 20143
9
Breaking Out of the Design Science Box: High-Value Impact through Multidisciplinary Design Science Programs of Research
201311
10
A Systems Approach to Countermeasures in Credibility Assessment Interviews
20135
11 2013326
12
Alternative Cues in Concealed Information Testing
20137
13
Taking ‘Fun and Games’ Seriously: Proposing the Hedonic-Motivation System Adoption Model (HMSAM)
201229
14 201217
15
Familiary Recognition in Automated Screening Environments: Utilizing Eye-Tracking Technology as an Intelligence-Gathering Tool
20121
16 20123
17
A Rigidity Detection System for the Guilty Knowledge Test
20114
18 20111
19
Proposing the Hedonic Affect Model (HAM) to Explain how Stimuli and Performance Expectations Predict Affect in Individual and Group Hedonic Systems Use
20083
20 20075

About Nathan W. Twyman

Nathan W. Twyman is a scholar working on Applied Psychology, Information Systems and Management, Social Psychology, Information Systems and Communication, having authored 31 papers that have together received 652 indexed citations. Recurring topics across this work include Deception detection and forensic psychology (12 papers), Information and Cyber Security (6 papers), Technology Adoption and User Behaviour (6 papers), Behavioral Health and Interventions (6 papers), Digital Marketing and Social Media (4 papers), Spam and Phishing Detection (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Educational Games and Gamification (3 papers). The work is most often cited by research in Information Systems and Management (203 citations), Human-Computer Interaction (63 citations), Marketing (85 citations), Computer Science Applications (47 citations) and Social Psychology (159 citations). Nathan W. Twyman has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Paul Benjamin Lowry, James Gaskin, Tom Roberts, Bryan Hammer, Judee K. Burgoon, Jay F. Nunamaker, Jeffrey Gainer Proudfoot, Justin Scott Giboney, Aaron Elkins and Robert O. Briggs. Their work appears in journals such as Journal of Management Information Systems, Journal of the Association for Information Systems, Computers & Security, Information & Management and The Journal of Marketing Theory and Practice.

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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