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.
Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks
2009848 citationsArun Sundararajan et al.profile →
Countries citing papers authored by Arun Sundararajan
Since
Specialization
Citations
This map shows the geographic impact of Arun Sundararajan'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 Arun Sundararajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun Sundararajan more than expected).
Fields of papers citing papers by Arun Sundararajan
This network shows the impact of papers produced by Arun Sundararajan. 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 Arun Sundararajan. The network helps show where Arun Sundararajan may publish in the future.
Co-authorship network of co-authors of Arun Sundararajan
This figure shows the co-authorship network connecting the top 25 collaborators of Arun Sundararajan.
A scholar is included among the top collaborators of Arun Sundararajan 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 Arun Sundararajan. Arun Sundararajan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Sundararajan, Arun. (2017). Crowd-Based Capitalism, Digital Automation, and the Future of Work. SSRN Electronic Journal. 2017(1). 19.2 indexed citations
Avital, Michel, John M. Carroll, Anders Hjalmarsson, et al.. (2015). The sharing economy: Friend or foe?. International Conference on Information Systems.17 indexed citations
4.
Dhar, Vasant, et al.. (2012). Prediction in Economic Networks: Using the Implicit Gestalt in Product Graphs. International Conference on Information Systems.2 indexed citations
5.
Dhar, Vasant, et al.. (2011). Comments on 'Protecting Consumer Privacy in an Era of Rapid Change: AProposed Framework for Businesses and Policymakers'. SSRN Electronic Journal.1 indexed citations
6.
Rhue, Lauren & Arun Sundararajan. (2010). THE INFORMATION CONTENT OF ECONOMIC NETWORKS: EVIDENCE FROM ONLINE CHARITABLE GIVING. International Conference on Information Systems. 250.1 indexed citations
7.
Archak, Nikolay & Arun Sundararajan. (2009). OPTIMAL DESIGN OF CROWDSOURCING CONTESTS. Journal of the Association for Information Systems. 200.123 indexed citations
8.
Oestreicher-Singer, Gal, et al.. (2009). Spreading the Oprah Effect: The Diffusion of Demand Shocks in a Recommendation Network. Journal of the Association for Information Systems.10 indexed citations
9.
Dhar, Vasant, Gal Oestreicher-Singer, Arun Sundararajan, & Akhmed Umyarov. (2009). The Gestalt in Graphs: Prediction Using Economic Networks. The Faculty Digital Archive (New York University).7 indexed citations
10.
Ghose, Anindya, Panagiotis G. Ipeirotis, & Arun Sundararajan. (2007). Opinion Mining using Econometrics: A Case Study on Reputation Systems. Meeting of the Association for Computational Linguistics. 416–423.88 indexed citations
11.
Oestreicher-Singer, Gal & Arun Sundararajan. (2006). Linking Network Structure to Ecommerce Demand: Theory and Evidence from Amazon.com's Copurchase Network. SSRN Electronic Journal.5 indexed citations
12.
Oestreicher-Singer, Gal & Arun Sundararajan. (2006). NETWORK STRUCTURE AND THE LONG TAIL OF ECOMMERCE DEMAND. Journal of the Association for Information Systems. 26.3 indexed citations
13.
Ghose, Anindya & Arun Sundararajan. (2005). Software Versioning and Quality Degradation? An Exploratory Study of the Evidence. Journal of the Association for Information Systems.28 indexed citations
14.
Sundararajan, Arun. (2004). Local Network Effects and Network Structure. The Faculty Digital Archive (New York University).17 indexed citations
15.
Oestreicher-Singer, Gal & Arun Sundararajan. (2004). ARE DIGITAL RIGHTS VALUABLE? THEORY AND EVIDENCE FROM THE EBOOK INDUSTRY. Journal of the Association for Information Systems. 533–546.6 indexed citations
16.
Dhar, Vasant & Arun Sundararajan. (2000). Maximizing Information Liquidity in Electronic Commerce. Journal of the Association for Information Systems. 357–363.1 indexed citations
17.
Sundararajan, Arun, et al.. (1997). An Economic Analysis of Electronic Secondary Markets: Installed Base, Technology, Durability and Firm Profitability. The Faculty Digital Archive (New York University).2 indexed citations
18.
Seidmann, Abraham & Arun Sundararajan. (1997). Building and Sustaining Inter-Organizational Information Sharing Relationships: The Competitive Impact of Interfacing Supply Chain Operations with Marketing Strategy. Journal of the Association for Information Systems.3 indexed citations
19.
Seidmann, Abraham & Arun Sundararajan. (1996). Information Systems, Incentives and Workflow Logic: Strategic Implications for Reengineering Business Processes.. Journal of the Association for Information Systems. 29.2 indexed citations
20.
Marimuthu, K., et al.. (1984). Sodium Fires and Aerosols. Journal of Nuclear Science and Technology. 21(9). 686–693.3 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.