Anna McNab

15 papers receiving 319 citations

Peers

Anna McNab
Comparison fields: 5 of 62
  • Information Systems and Management 150
  • Communication 40
  • Marketing 48
  • Gender Studies 42
  • Management Information Systems 37
Replace Devadas Menon with:
Devadas Menon India
Shahper Vodanovich New Zealand
Sid Davis United States
Jaejoo Lim United States
James P. Downey United States
Indira R. Guzman United States
Jiinpo Wu United States
Gregory J. Bott United States
Lauren B. Eder United States
Zeying Wan Canada
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Citations per year

Countries citing papers authored by Anna McNab

Since Specialization
Citations

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

Fields of papers citing papers by Anna McNab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Anna McNab, 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 Anna McNab Line = papers co-authored together Anna McNab links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2014161
2 200946
3 201138
4 201322
5 201217
6 201017
7 201412
8 201212
9
Designing Interfaces for Faster Information Processing: Examination of the Effectiveness of Using Multiple Information Cues
200910
10
DESIGNING EMERGENCY RESPONSE APPLICATIONS FOR BETTER PERFORMANCE
20095
11 20223
12 20113
13
Evolution of Trust in Distributed Software Development Teams: A Punctuated Equilibrium Model.
20061
14
Reliability Generalization of Perceived Ease of Use, Perceived Usefulness and Behavioral Intentions.
20071
15
An Empirical Investigation of the Equity Implementation Model: An Alternative Lens for Understanding Technology Adoption
20071
16 20211

About Anna McNab

Anna McNab is a scholar working on Sociology and Political Science, Communication, Social Psychology, Information Systems and Management and Gender Studies, having authored 16 papers that have together received 350 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (5 papers), Knowledge Management and Sharing (5 papers), Digital Marketing and Social Media (4 papers), Color perception and design (2 papers), Gender, Feminism, and Media (2 papers), Sexual Assault and Victimization Studies (2 papers), E-Government and Public Services (2 papers) and Categorization, perception, and language (1 paper). The work is most often cited by research in Information Systems and Management (150 citations), Communication (40 citations), Marketing (48 citations), Gender Studies (42 citations) and Management Information Systems (37 citations). Anna McNab has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Traci J. Hess, K. Asli Basoglu, Kent Marett, Xin Li, Stacey J. T. Hust, Hua Chang, Kailash Joshi, Ming Lei, Saonee Sarker and Jessica Fitts Willoughby. Their work appears in journals such as Journal of the Association for Information Systems, Electronic Markets, ACM SIGMIS Database the DATABASE for Advances in Information Systems, Journal of Health Communication and Journal of Information 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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