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.
Social Media and Their Affordances for Organizing: A Review and Agenda for Research
Countries citing papers authored by Emmanuelle Vaast
Since
Specialization
Citations
This map shows the geographic impact of Emmanuelle Vaast'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 Emmanuelle Vaast with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuelle Vaast more than expected).
Fields of papers citing papers by Emmanuelle Vaast
This network shows the impact of papers produced by Emmanuelle Vaast. 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 Emmanuelle Vaast. The network helps show where Emmanuelle Vaast may publish in the future.
Co-authorship network of co-authors of Emmanuelle Vaast
This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuelle Vaast.
A scholar is included among the top collaborators of Emmanuelle Vaast 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 Emmanuelle Vaast. Emmanuelle Vaast is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Khurana, Sandeep, et al.. (2020). Activating the Sisterhood: A Structural and Temporal Analysis of Sustained Connective Action in #MeTooIndia. Journal of the Association for Information Systems.2 indexed citations
Vaast, Emmanuelle & Paul M. Leonardi. (2018). The Matter with Gender: The Dynamic Intersect of Gender and Social Media Affordances.1 indexed citations
8.
Vaast, Emmanuelle, et al.. (2018). A Relational Approach on Collaborative Resource Spending in Online Communities. Journal of the Association for Information Systems.1 indexed citations
Teigland, Robin, et al.. (2013). IS CROWDFUNDING DOOMED IN SWEDEN? WHEN INSTITUTIONAL LOGICS AND AFFORDANCES COLLIDE, (RE-)DESIGN MATTERS. International Conference on Information Systems.4 indexed citations
12.
Urquhart, Cathy & Emmanuelle Vaast. (2012). Building social media theory from case studies: A new frontier for IS research. International Conference on Information Systems.37 indexed citations
13.
Káganer, Evgeny & Emmanuelle Vaast. (2010). Responding to the (almost) unknown: Social representations and corporate policies of social media. International Conference on Information Systems. 163.27 indexed citations
Vaast, Emmanuelle, et al.. (2008). Bringing Change in Government Organizations: Evolution Towards Post-Bureaucracy with Web-Based IT Projects. Journal of the Association for Information Systems. 213.4 indexed citations
16.
Boland, Richard J., Elizabeth Davidson, Suzanne D. Pawlowski, Ulrike Schultze, & Emmanuelle Vaast. (2005). Investigating the "Knowledge" in Knowledge Management: A Social Representations Perspective.. Journal of the Association for Information Systems.2 indexed citations
17.
Levina, Natalia & Emmanuelle Vaast. (2005). Turning a Community into a Market: A Practice Perspective on IT Use in Boundary-Spanning. SSRN Electronic Journal.16 indexed citations
Vaast, Emmanuelle. (2002). A Dual Methodology to Address Central Challenges in IS Research. Journal of the Association for Information Systems.
20.
Vaast, Emmanuelle. (2001). Intranets in French firms: evolutions and revolutions.. SHILAP Revista de lepidopterología. 6.4 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.