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.
The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer
20041.9k citationsDaniel Z. Levin, Rob CrossManagement Scienceprofile →
A Relational View of Information Seeking and Learning in Social Networks
20031.5k citationsStephen P. Borgatti, Rob CrossManagement Scienceprofile →
Knowing what we know:
2001592 citationsRob Cross, Andrew Parker et al.Organizational Dynamicsprofile →
Making Invisible Work Visible: Using Social Network Analysis to Support Strategic Collaboration
2002564 citationsRob Cross, Stephen P. Borgatti et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Rob Cross'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 Rob Cross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Cross more than expected).
This network shows the impact of papers produced by Rob Cross. 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 Rob Cross. The network helps show where Rob Cross may publish in the future.
Co-authorship network of co-authors of Rob Cross
This figure shows the co-authorship network connecting the top 25 collaborators of Rob Cross.
A scholar is included among the top collaborators of Rob Cross 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 Rob Cross. Rob Cross is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cross, Rob, et al.. (2010). How Organizational Network Analysis Facilitated Transition from a Regional to a Global IT Function. MIS Quarterly Executive. 9(3). 3–1152.2 indexed citations
10.
Cross, Rob, et al.. (2009). How "who you know" affects what you decide. MIT Sloan management review. 50(2). 35–42.9 indexed citations
11.
Davenport, Thomas H., Rob Cross, & Salvatore Parise. (2006). Strategies for preventing a knowledge-loss crisis. MIT Sloan management review. 47(4). 31–38.87 indexed citations
Rollag, Keith, Salvatore Parise, & Rob Cross. (2005). Getting new hires up to speed quickly. MIT Sloan management review. 46(2). 35–41.77 indexed citations
14.
Cross, Rob, Wayne E. Baker, & Andrew Parker. (2003). What Creates Energy in Organizations. MIT Sloan management review. 44(4). 51–57.112 indexed citations
15.
Cross, Rob, Thomas H. Davenport, & Susan Cantrell. (2003). The Social Side of Performance. MIT Sloan management review. 45(1). 20–22.23 indexed citations
Borgatti, Stephen P. & Rob Cross. (2003). A Relational View of Information Seeking and Learning in Social Networks. Management Science. 49(4). 432–445.1483 indexed citations breakdown →
18.
Cross, Rob, Andrew Parker, & Laurence Prusak. (2000). WHITE PAPER Knowing What We Know: Supporting Knowledge Creation and Sharing in Social Networks.5 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.