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.
Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice1
20053.0k citationsMolly Wasko et al.MIS Quarterlyprofile →
Why should i share? examining social capital and knowledge contribution in electronic networks of practice
This map shows the geographic impact of Molly Wasko'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 Molly Wasko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Molly Wasko more than expected).
This network shows the impact of papers produced by Molly Wasko. 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 Molly Wasko. The network helps show where Molly Wasko may publish in the future.
Co-authorship network of co-authors of Molly Wasko
This figure shows the co-authorship network connecting the top 25 collaborators of Molly Wasko.
A scholar is included among the top collaborators of Molly Wasko 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 Molly Wasko. Molly Wasko is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wasko, Molly, et al.. (2010). Getting Customers' Ideas to Work for You: Learning from Dell how to Succeed with Online User Innovation Communities. Journal of the Association for Information Systems. 9(4). 4.180 indexed citations
Hooker, Robert E., Molly Wasko, & David Paradice. (2009). Linking Flow, Brand Attitudes and Purchase Intent in Virtual Worlds. Journal of the Association for Information Systems. 106.11 indexed citations
11.
Wasko, Molly, et al.. (2009). Leadership in MMOGS: Emergent and Transformational Leadership Candidates.. Journal of the Association for Information Systems. 538.11 indexed citations
Wasko, Molly, Robin Teigland, & Brian Donnellan. (2007). Creating Innovation Systems through Virtual Communities. Journal of the Association for Information Systems. 213.2 indexed citations
14.
Teigland, Robin, et al.. (2006). Examining knowledge exchange and organizational outcomes within intra- organizational electronic networks of practice with restricted access. Journal of the Association for Information Systems. 2324–2335.2 indexed citations
15.
Wasko, Molly & Samer Faraj. (2005). Why should i share? examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly. 29(1). 35–57.2725 indexed citations breakdown →
16.
Wasko, Molly, et al.. (2005). Tie Diversity, Network Position, Electronic Resources and Knowledge Exchange. Journal of the Association for Information Systems. 465.2 indexed citations
17.
Wasko, Molly & Robin Teigland. (2004). Public Goods or Virtual Commons? Applying Theories of Public Goods, Social Dilemmas, and Collective Action to Electronic Networks of Practice. Journal of the Association for Information Systems. 6(1). 4.29 indexed citations
18.
Wasko, Molly, et al.. (2004). Coordinating Efforts in Virtual Communities: Examining Network Governance in Open Source. Journal of the Association for Information Systems. 322.11 indexed citations
Wasko, Molly & Robin Teigland. (2002). THE PROVISION OF ONLINE PUBLIC GOODS: EXAMINING SOCIAL STRUCTURE IN A NETWORK OF PRACTICE. International Conference on Information Systems. 15.14 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.