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.
Digital Innovation Management: Reinventing Innovation Management Research in a Digital World
20171.8k citationsKalle Lyytinen, Ann Majchrzak et al.MIS Quarterlyprofile →
Organizing for Innovation in the Digitized World
20121.6k citationsYoungjin Yoo, Richard J. Boland et al.Organization Scienceprofile →
Information Technology and the Changing Fabric of Organization
2007779 citationsTerri L. Griffith, Ann Majchrzak et al.Organization Scienceprofile →
Knowledge Collaboration in Online Communities
2011725 citationsSamer Faraj, Sirkka L. Järvenpää et al.Organization Scienceprofile →
A design theory for systems that support emergent knowledge processes
2002677 citationsM. Lynne Markus, Ann Majchrzak et al.MIS Quarterlyprofile →
The Contradictory Influence of Social Media Affordances on Online Communal Knowledge Sharing
2013626 citationsAnn Majchrzak, Samer Faraj et al.profile →
Designing for Digital Transformation: Lessons for Information Systems Research from the Study of ICT and Societal Challenges
2016389 citationsAnn Majchrzak, M. Lynne Markus et al.MIS Quarterlyprofile →
Towards an information systems perspective and research agenda on crowdsourcing for innovation
This map shows the geographic impact of Ann Majchrzak'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 Ann Majchrzak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Majchrzak more than expected).
This network shows the impact of papers produced by Ann Majchrzak. 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 Ann Majchrzak. The network helps show where Ann Majchrzak may publish in the future.
Co-authorship network of co-authors of Ann Majchrzak
This figure shows the co-authorship network connecting the top 25 collaborators of Ann Majchrzak.
A scholar is included among the top collaborators of Ann Majchrzak 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 Ann Majchrzak. Ann Majchrzak is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Majchrzak, Ann, et al.. (2016). Formative and Summative Feedback in Solution Generation: The Role of Community and Decision Support System in Open Source Software. International Conference on Information Systems.1 indexed citations
3.
Wagner, Christian & Ann Majchrzak. (2014). Enabling Customer-Centricity Using Wikis and the Wiki Way. SSRN Electronic Journal.3 indexed citations
4.
Majchrzak, Ann & Arvind Malhotra. (2013). Towards an Information Systems Perspective and Research Agenda on Crowdsourcing for Innovation. SSRN Electronic Journal.10 indexed citations
5.
Yoo, Youngjin, Richard J. Boland, Kalle Lyytinen, & Ann Majchrzak. (2012). Organizing for Innovation in the Digitized World. SSRN Electronic Journal.10 indexed citations
6.
Malhotra, Arvind & Ann Majchrzak. (2012). USE OF COLLABORATIVE TECHNOLOGY AFFORDANCES TO INNOVATE VIRTUALLY. Journal of the Association for Information Systems.2 indexed citations
7.
Faraj, Samer, Sirkka L. Järvenpää, & Ann Majchrzak. (2011). Knowledge Collaboration in Online Communities. Organization Science. 22(5). 1224–1239.725 indexed citations breakdown →
8.
Faraj, Samer, Sirkka L. Järvenpää, & Ann Majchrzak. (2011). Knowledge Collaboration in Online Communities. SSRN Electronic Journal.10 indexed citations
9.
Chircu, Alina M., Varun Grover, Ann Majchrzak, & Michael Rosemann. (2010). BUSINESS PROCESS MANAGEMENT AND THE IS FIELD: HAVE WE FINALLY ARRIVED OR JUST MISSED THE BOAT?. Journal of the Association for Information Systems.1 indexed citations
10.
Majchrzak, Ann, et al.. (2008). Using Wikis to Generate Learning at ICIS 2007. Journal of the Association for Information Systems. 17.5 indexed citations
11.
Hollingshead, Andrea B., Ann Majchrzak, & Sirkka L. Järvenpää. (2007). Coordinating Expertise Among Emergent Groups Responding to Disasters. SSRN Electronic Journal.18 indexed citations
12.
Griffith, Terri L., et al.. (2007). Information technology and the changing fabric of organization. Queensland's institutional digital repository (The University of Queensland).6 indexed citations
13.
Majchrzak, Ann, et al.. (2006). Four keys to managing emergence. MIT Sloan management review. 47(2). 14–18.16 indexed citations
14.
Majchrzak, Ann & Sirkka L. Järvenpää. (2004). Information Security in Cross-Enterprise Collaborative Knowledge Work. SSRN Electronic Journal.9 indexed citations
15.
Markus, M. Lynne, Ann Majchrzak, & Les Gasser. (2002). A design theory for systems that support emergent knowledge processes. MIS Quarterly. 26(3). 179–212.677 indexed citations breakdown →
Majchrzak, Ann. (1997). What to Do When You Can't Have It All: Toward a Theory of Sociotechnical Dependencies. SSRN Electronic Journal.1 indexed citations
18.
Majchrzak, Ann, et al.. (1996). Breaking the Functional Mind-Set in Process Organizations. SSRN Electronic Journal.76 indexed citations
19.
Majchrzak, Ann. (1988). The Human Infrastructure Impact Statement (HIIS). SSRN Electronic Journal.2 indexed citations
20.
Majchrzak, Ann. (1988). The human side of factory automation.165 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.