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.
Human vs. AI: Understanding the impact of anthropomorphism on consumer response to chatbots from the perspective of trust and relationship norms
2022253 citationsJason Cohen, Jian Mou et al.profile →
Will artificial intelligence replace human customer service? The impact of communication quality and privacy risks on adoption intention
2022209 citationsJason Cohen, Jian Mou et al.profile →
Citations per year, relative to Jason Cohen Jason Cohen (= 1×)
peers
Xusen Cheng
Countries citing papers authored by Jason Cohen
Since
Specialization
Citations
This map shows the geographic impact of Jason Cohen'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 Jason Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Cohen more than expected).
This network shows the impact of papers produced by Jason Cohen. 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 Jason Cohen. The network helps show where Jason Cohen may publish in the future.
Co-authorship network of co-authors of Jason Cohen
This figure shows the co-authorship network connecting the top 25 collaborators of Jason Cohen.
A scholar is included among the top collaborators of Jason Cohen 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 Jason Cohen. Jason Cohen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cohen, Jason. (2019). Bringing Down the Average: The Case for a "Less Sophisticated" Reasonableness Standard in US and EU Consumer Law. eYLS (Yale Law School). 32(1). 1.1 indexed citations
3.
Mou, Jian, et al.. (2018). Understanding IS Success Model and Valence Framework in Sellers’ Acceptance of Cross-border E-commerce. WHICEB. 39.3 indexed citations
4.
Cohen, Jason, et al.. (2017). The Effects of Intrinsic, Extrinsic, Hedonic, and Utilitarian Motivations on IS Usage: An Updated Meta-analytic Investigation.. Journal of the Association for Information Systems.7 indexed citations
5.
Mou, Jian, et al.. (2017). Predicting Buyers' Repurchase Intentions in Cross-Border E-Commerce: a Valence Framework Perspective.. European Conference on Information Systems. 2382.20 indexed citations
6.
Mou, Jian, Jason Cohen, & Jong-Ki Kim. (2017). A Meta-Analytic Structural Equation Modeling Test of Protection Motivation Theory in Information Security Literature. Journal of the Association for Information Systems.9 indexed citations
7.
Cohen, Jason, et al.. (2017). IMPACT OF SOCIAL NETWORK SITES ON PSYCHOLOGICAL AND BEHAVIOURAL OUTCOMES IN THE WORK-PLACE: A SYSTEMATIC LITERATURE REVIEW. Journal of the Association for Information Systems. 2051.4 indexed citations
8.
Cohen, Jason, et al.. (2016). Business Process Management and Digital Game Based Learning. Americas Conference on Information Systems.4 indexed citations
Mou, Jian & Jason Cohen. (2014). TRUST IN ELECTRONIC-SERVICE PROVIDERS: A META- ANALYSIS OF ANTECEDENTS. Journal of the Association for Information Systems. 100.4 indexed citations
11.
Mou, Jian & Jason Cohen. (2014). A LONGITUDINAL STUDY OF TRUST AND PERCEIVED USEFULNESS IN CONSUMER ACCEPTANCE OF AN ESERVICE: THE CASE OF ONLINE HEALTH SERVICES. Journal of the Association for Information Systems. 258.12 indexed citations
12.
Mou, Jian & Jason Cohen. (2014). Trust, Risk Barriers and Health Beliefs in Consumer Acceptance of Online Health Services. Journal of the Association for Information Systems.11 indexed citations
13.
Mou, Jian & Jason Cohen. (2013). Trust and Risk in Consumer Acceptance of e-Services: A Meta-Analysis and a Test of Competing Models. International Conference on Information Systems.10 indexed citations
14.
Cohen, Jason, et al.. (2011). An Empirical Study of Health Consumer Beliefs, Attitude and Intentions toward the Use of Self-Service Kiosks. Journal of the Association for Information Systems.2 indexed citations
15.
Cohen, Jason, et al.. (2010). The Rescue911 Emergency Response Information System (ERIS): A Systems Development Project Case.. Journal of the Association for Information Systems. 21(2). 149–157.1 indexed citations
16.
Dwolatzky, B., Jason Cohen, & Scott Hazelhurst. (2009). Proceedings of the 2009 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists.1 indexed citations
17.
Cohen, Jason. (2005). The Same Side of Two Coins: The Peculiar Phenomenon of Bet-Hedging in Campaign Finance. Huskie Commons (Northern Illinois University). 688.1 indexed citations
18.
Cohen, Jason, et al.. (2004). Ethical Behavior and Information Systems Codes: The Effects of Code Communication, Awareness, Understanding, and Enforcement. Journal of the Association for Information Systems. 915–926.8 indexed citations
19.
Cohen, Jason. (2001). Endangered Research: The Proliferation of E-Books and Their Potential Threat to the Fair Use Clause. 9(1). 163.2 indexed citations
20.
Cohen, Jason. (1997). The Japanese Product Liability Law: Sending A Pro-Consumer Tsunami Through Japan's Corporate and Judicial Worlds. Fordham international law journal. 21(1). 108.1 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.