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.
On-line trust: concepts, evolving themes, a model
2003824 citationsCynthia L. Corritore, Beverly Kracher et al.International Journal of Human-Computer Studiesprofile →
The state of the art in end-user software engineering
2011355 citationsLaura Beckwith, Alan F. Blackwell et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Susan Wiedenbeck
Since
Specialization
Citations
This map shows the geographic impact of Susan Wiedenbeck'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 Susan Wiedenbeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Wiedenbeck more than expected).
Fields of papers citing papers by Susan Wiedenbeck
This network shows the impact of papers produced by Susan Wiedenbeck. 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 Susan Wiedenbeck. The network helps show where Susan Wiedenbeck may publish in the future.
Co-authorship network of co-authors of Susan Wiedenbeck
This figure shows the co-authorship network connecting the top 25 collaborators of Susan Wiedenbeck.
A scholar is included among the top collaborators of Susan Wiedenbeck 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 Susan Wiedenbeck. Susan Wiedenbeck is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Burnett, Margaret, Laura Beckwith, Susan Wiedenbeck, et al.. (2011). Gender pluralism in problem-solving software. Interacting with Computers. 23(5). 450–460.69 indexed citations
3.
Wiedenbeck, Susan, et al.. (2010). EHR acceptance factors in ambulatory care: a survey of physician perceptions.. PubMed. 7. 1c–1c.46 indexed citations
4.
Cao, Jill, Yann Riche, Susan Wiedenbeck, Margaret Burnett, & Valentina Grigoreanu. (2010). End-user mashup programming. 1009–1018.30 indexed citations
5.
Wiedenbeck, Susan, et al.. (2009). A framework for predicting EHR adoption attitudes: a physician survey.. PubMed Central. 6. 1a–1a.54 indexed citations
Corritore, Cynthia L., et al.. (2005). Measuring Online Trust of Websites: Credibility, Perceived Ease of Use, and Risk. Journal of the Association for Information Systems. 370.43 indexed citations
10.
Beckwith, Laura, et al.. (2005). Mining Qualitative Behavioral Data from Quantitative Data: A Case Study from the Gender HCI Project.. PPIG. 20.1 indexed citations
Wiedenbeck, Susan, et al.. (2004). Factors Affecting Course Outcomes in Introductory Programming. PPIG. 11.79 indexed citations
14.
Crosby, Martha E., Jean Scholtz, & Susan Wiedenbeck. (2002). The Roles Beacons Play in Comprehension for Novice and Expert Programmers.. PPIG. 5.55 indexed citations
Scholtz, Jean & Susan Wiedenbeck. (1992). An analysis of novice programmers learning a second language.. 9.14 indexed citations
18.
Scholtz, Jean & Susan Wiedenbeck. (1990). Learning to program in another language. International Conference on Human-Computer Interaction. 925–930.6 indexed citations
19.
Wiedenbeck, Susan & Jean Scholtz. (1989). Beacons: a knowledge structure in program comprehension. International Conference on Human-Computer Interaction. 82–87.8 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.