Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of Pam Mayhew'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 Pam Mayhew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pam Mayhew more than expected).
This network shows the impact of papers produced by Pam Mayhew. 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 Pam Mayhew. The network helps show where Pam Mayhew may publish in the future.
Co-authorship network of co-authors of Pam Mayhew
This figure shows the co-authorship network connecting the top 25 collaborators of Pam Mayhew.
A scholar is included among the top collaborators of Pam Mayhew based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Pam Mayhew. Pam Mayhew is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Mayhew, Pam, et al.. (2017). To intervene or not to intervene: An investigation of three think-aloud protocols in usability testing. UEA Digital Repository (University of East Anglia). 12(3). 111–132.20 indexed citations
2.
Mayhew, Pam, et al.. (2017). Eye Tracking in Retrospective Think-Aloud Usability Testing:Is there Added Value?. Journal of Usability Studies archive. 12(3). 95–110.13 indexed citations
Smith, Dan, et al.. (2013). Web searching behaviour for academic resources. 104–113.3 indexed citations
6.
Al‐Badi, Ali H. & Pam Mayhew. (2013). Generating a Domain Specific Inspection Evaluation Method through an Adaptive Framework: A Comparative Study on Social Networks. SSRN Electronic Journal.2 indexed citations
7.
Alroobaea, Roobaea, Ali H. Al‐Badi, & Pam Mayhew. (2013). A framework for generating a domain specific inspection evaluation method: A comparative study on social networking websites. 757–767.4 indexed citations
8.
Alghamdi, Ahmed, Ali H. Al‐Badi, & Pam Mayhew. (2013). A Comparative Study of Synchronous and Asynchronous Remote Usability Testing Methods.19 indexed citations
9.
Alshamari, Majed & Pam Mayhew. (2009). Examining the Role of Tasks in Usability Testing for Dynamic Websites. UEA Digital Repository (University of East Anglia).1 indexed citations
Mayhew, Pam, et al.. (2007). Government-to-Citizens Relationship: Evaluating the Quality of Information on Saudi Ministries' Websites. UEA Digital Repository (University of East Anglia).6 indexed citations
Mayhew, Pam, et al.. (2004). Development of Information and Communication Technology Indicators in the Kingdom of Saudi Arabia. UEA Digital Repository (University of East Anglia).1 indexed citations
14.
Al‐Badi, Ali H. & Pam Mayhew. (2003). Towards a Comprehensive Usability Framework for Global Websites. UEA Digital Repository (University of East Anglia).2 indexed citations
15.
Mayhew, Pam, et al.. (2001). Consensus Building in Formative and Participative IS Evaluation Approaches. UEA Digital Repository (University of East Anglia).2 indexed citations
Bell, Simon & Pam Mayhew. (1994). Lessons in the application of systems analysis in developing countries.. European Conference on Information Systems. 175–194.2 indexed citations
18.
Mayhew, Pam, et al.. (1994). A practical Approach for Software Process Improvement. UEA Digital Repository (University of East Anglia).5 indexed citations
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.