Countries citing papers authored by Susan Williams
Since
Specialization
Citations
This map shows the geographic impact of Susan Williams'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 Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Williams more than expected).
This network shows the impact of papers produced by Susan Williams. 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 Williams. The network helps show where Susan Williams may publish in the future.
Co-authorship network of co-authors of Susan Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Susan Williams.
A scholar is included among the top collaborators of Susan Williams 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 Williams. Susan Williams 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.
Williams, Susan, et al.. (2015). Guide to MAX Data. Mathematica Policy Research Reports.4 indexed citations
2.
Aasheim, Cheryl L., et al.. (2015). Data Analytics vs. Data Science: A Study of Similarities and Differences in Undergraduate Programs Based on Course Descriptions.. Journal of the Association for Information Systems. 26(2). 103–116.38 indexed citations
3.
Aasheim, Cheryl L., et al.. (2014). Big Data Analytics and Data Science Undergraduate Degree Programs. 338–359.11 indexed citations
4.
Aasheim, Cheryl L., Paige Rutner, Lixin Li, & Susan Williams. (2012). Plagiarism and Programming: A Survey of Student Attitudes. Journal of the Association for Information Systems. 23(3). 297–313.25 indexed citations
5.
Lipson, Debra, et al.. (2011). What Determines Progress in State MFP Transition Programs. Mathematica Policy Research Reports.1 indexed citations
6.
Morris, Eric, et al.. (2011). Money Follows the Person Demonstration: Overview of State Grantee Progress, January to December 2014. Mathematica Policy Research Reports.10 indexed citations
Lipson, Debra & Susan Williams. (2009). Implications of State Program Features for Attaining MFP Transition Goals. Mathematica Policy Research Reports.1 indexed citations
9.
Aasheim, Cheryl L., Lixin Li, & Susan Williams. (2009). Knowledge and Skill Requirements for Entry-Level Information Technology Workers: A Comparison of Industry and Academia. Journal of the Association for Information Systems. 20(3). 349–356.69 indexed citations
10.
Aasheim, Cheryl L., et al.. (2009). Implementing Imaging Technology in Graduate Admissions at Georgia Southern University. Journal of the International Academy of Case Studies. 15(5). 43–58.1 indexed citations
Aasheim, Cheryl L. & Susan Williams. (2009). Knowledge and Skill Requirements for Entry-Level Information Technology Workers: Do Employers in the IT Industry View These Differently than Employers in Other Industries?.3 indexed citations
Rosenbach, Margo, Angela Merrill, Shanna Shulman, et al.. (2007). National Evaluation of the State Childrens Health Insurance Program A Decade of Expanding Coverage and Improving Access. Mathematica Policy Research Reports.9 indexed citations
15.
Williams, Susan & Margo Rosenbach. (2007). Evolution of state outreach efforts under SCHIP.. PubMed. 28(4). 95–107.10 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.