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.
Information Overload and the Message Dynamics of Online Interaction Spaces: A Theoretical Model and Empirical Exploration
2004514 citationsQuentin Jones, Gilad Ravid 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 Gilad Ravid'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 Gilad Ravid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilad Ravid more than expected).
This network shows the impact of papers produced by Gilad Ravid. 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 Gilad Ravid. The network helps show where Gilad Ravid may publish in the future.
Co-authorship network of co-authors of Gilad Ravid
This figure shows the co-authorship network connecting the top 25 collaborators of Gilad Ravid.
A scholar is included among the top collaborators of Gilad Ravid 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 Gilad Ravid. Gilad Ravid is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ravid, Gilad, et al.. (2015). Facebook Groups as an Academic Teaching Aid: Case Study and Recommendations for Educators.. Educational Technology & Society. 18(4). 371–384.36 indexed citations
8.
Ravid, Gilad, et al.. (2014). PERSONALITY BASED GAMIFICATION: HOW DIFFERENT PERSONALITIES PERCEIVE GAMIFICATION. Journal of the Association for Information Systems.38 indexed citations
9.
Ravid, Gilad, et al.. (2014). TEXT MINING AND TEMPORAL TREND DETECTION ON THE INTERNET FOR TECHNOLOGY ASSESSMENT: MODEL AND TOOL. Journal of the Association for Information Systems.2 indexed citations
Cardon, Peter W., et al.. (2009). Online and offline social ties of social network website users : An exploratory study in eleven societies. Journal of Computer Information Systems. 50(1). 54–64.33 indexed citations
Aviv, Reuven, Zippy Erlich, & Gilad Ravid. (2007). Randomness and clustering of responses in online learning networks. 11–15.2 indexed citations
15.
Kalman, Yoram M., Gilad Ravid, Daphne R. Raban, & Sheizaf Rafaeli. (2006). Speak *Now* or Forever Hold Your Peace: Power Law Chronemics of Turn-Taking and Response in Asynchronous CMC. 1–23.4 indexed citations
Aviv, Reuven, Zippy Erlich, & Gilad Ravid. (2005). Design and Architecture of Collaborative Online Communities: A Quantitative Analysis.. 2004(1).3 indexed citations
18.
Rafaeli, Sheizaf, et al.. (2003). ONLINE SIMULATIONS IN MANAGEMENT EDUCATION ABOUT INFORMATION AND ITS USES. SSRN Electronic Journal.8 indexed citations
19.
Rafaeli, Sheizaf & Gilad Ravid. (2001). Research Through Online Simulation Of Team Coordination, Communication, And Information Sharing.2 indexed citations
20.
Jones, Quentin, Gilad Ravid, & Sheizaf Rafaeli. (2001). Information Overload and Virtual Public Discourse Boundaries.. International Conference on Human-Computer Interaction. 43–50.21 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.