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.
Countries citing papers authored by William G. Zikmund
Since
Specialization
Citations
This map shows the geographic impact of William G. Zikmund'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 William G. Zikmund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William G. Zikmund more than expected).
Fields of papers citing papers by William G. Zikmund
This network shows the impact of papers produced by William G. Zikmund. 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 William G. Zikmund. The network helps show where William G. Zikmund may publish in the future.
Co-authorship network of co-authors of William G. Zikmund
This figure shows the co-authorship network connecting the top 25 collaborators of William G. Zikmund.
A scholar is included among the top collaborators of William G. Zikmund 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 William G. Zikmund. William G. Zikmund 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.
D’Alessandro, Steven, Ben Lowe, Hume Winzar, William G. Zikmund, & Barry J. Babin. (2016). Marketing research: Asia-Pacific edition. Figshare.9 indexed citations
2.
Zikmund, William G., Steven Ward, Hume Winzar, Ben Lowe, & Barry J. Babin. (2014). Marketing Research: 3rd Asia Pacific Edition. Kent Academic Repository (University of Kent).7 indexed citations
3.
Zikmund, William G., et al.. (2011). Menjelajahi riset pemasaran.15 indexed citations
4.
Zikmund, William G., et al.. (2000). Marketing: Creating and Keeping Customers in an E-Commerce World, 7th Edition (Маркетинг: как создавать и удерживать потребителей в век электронной коммерции).1 indexed citations
5.
Zikmund, William G., et al.. (1994). Business: The American Challenge for Global Competitiveness. Medical Entomology and Zoology.2 indexed citations
6.
Zikmund, William G., et al.. (1984). The Effects of Gender and Product Stereotyping on Conformity Judgements: an Experiment. ACR North American Advances.7 indexed citations
7.
Zikmund, William G.. (1984). Business Research Methods. Repository of the University of Ljubljana (University of Ljubljana).1128 indexed citations breakdown →
Zikmund, William G., William J. Lundstrom, & Donald Sciglimpaglia. (1982). Cases in marketing research. Medical Entomology and Zoology.1 indexed citations
Miller, Stephen J. & William G. Zikmund. (1979). Innovative Health Care Alternatives: a Model of the Consumer Behavior Process. ACR North American Advances.
Zikmund, William G., et al.. (1976). An Experimental Investigation of Situational Effects on Risk Perception. ACR North American Advances.22 indexed citations
Miller, Stephen J. & William G. Zikmund. (1975). A Multivariate Analysis of Prepurchase Deliberation and External Search Behavior. ACR North American Advances.6 indexed citations
Zikmund, William G. & Jerome E. Scott. (1974). A Multivariate Analysis of Perceived Risk Self-Confidence and Information Sources. ACR North American Advances.49 indexed citations
20.
Zikmund, William G.. (1973). An empirical investigation of the multidimensional nature of perceived risk and related variables. University Microfilms eBooks.3 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.