Antino Kim

1.2k total citations · 2 hit papers
29 papers, 821 citations indexed

About

Antino Kim is a scholar working on Sociology and Political Science, Artificial Intelligence and Marketing. According to data from OpenAlex, Antino Kim has authored 29 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Sociology and Political Science, 9 papers in Artificial Intelligence and 8 papers in Marketing. Recurrent topics in Antino Kim's work include Misinformation and Its Impacts (16 papers), Media Influence and Politics (6 papers) and Spam and Phishing Detection (5 papers). Antino Kim is often cited by papers focused on Misinformation and Its Impacts (16 papers), Media Influence and Politics (6 papers) and Spam and Phishing Detection (5 papers). Antino Kim collaborates with scholars based in United States, India and Canada. Antino Kim's co-authors include Alan R. Dennis, Patricia Moravec, Debabrata Dey, Atanu Lahiri, Randall K. Minas, Jingjing Zhang, Mochen Yang and Warut Khern-am-nuai and has published in prestigious journals such as Management Science, MIS Quarterly and Information Systems Research.

In The Last Decade

Antino Kim

27 papers receiving 781 citations

Hit Papers

Says Who? The Effects of Presentation Format and Source R... 2019 2026 2021 2023 2019 2019 50 100 150 200 250
What are hit papers?

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.

  1. Says Who? The Effects of Presentation Format and Source Rating on Fake News in Social Media1
    2019 254 citations Antino Kim, Alan R. Dennis MIS Quarterly profile →
  2. Combating Fake News on Social Media with Source Ratings: The Effects of User and Expert Reputation Ratings
    2019 204 citations Antino Kim, Patricia Moravec et al. Journal of Management Information Systems profile →

Peers

Antino Kim
Ronald E. Robertson United States
Nicolas Pröllochs Germany
Patricia Moravec United States
Lian Jian United States
Chris J. Vargo United States
Mario Haim Germany
Tanushree Mitra United States
Mykola Makhortykh Switzerland
Judith Moeller Netherlands
Elisabeth Joyce United States
Ronald E. Robertson United States
Antino Kim
Citations per year, relative to Antino Kim Antino Kim (= 1×) peers Ronald E. Robertson

Countries citing papers authored by Antino Kim

Since Specialization
Citations

This map shows the geographic impact of Antino Kim'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 Antino Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antino Kim more than expected).

Fields of papers citing papers by Antino Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antino Kim. 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 Antino Kim. The network helps show where Antino Kim may publish in the future.

Co-authorship network of co-authors of Antino Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Antino Kim. A scholar is included among the top collaborators of Antino Kim 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 Antino Kim. Antino Kim 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.
Kim, Antino, et al.. (2025). From self-service to AI-assisted service: A mixed-method study of IT support service provision using search tools and chatbots. International Journal of Information Management. 84. 102938–102938.
2.
Kim, Antino, et al.. (2025). Judgmental Bot: Conversational Agents in Online Mental Health Screening. MIS Quarterly. 49(4). 1319–1356.
3.
Kim, Antino, et al.. (2024). Taking the Chat out of Chatbot? Collecting User Reviews with Chatbots and Web Forms. Journal of Management Information Systems. 41(1). 146–177. 10 indexed citations
4.
Dennis, Alan R., Patricia Moravec, & Antino Kim. (2023). Search & Verify: Misinformation and source evaluations in Internet search results. Decision Support Systems. 171. 113976–113976. 8 indexed citations
5.
Kim, Antino, Patricia Moravec, & Alan R. Dennis. (2023). When do details matter? News source evaluation summaries and details against misinformation on social media. International Journal of Information Management. 72. 102666–102666. 8 indexed citations
6.
Moravec, Patricia, Antino Kim, Alan R. Dennis, & Randall K. Minas. (2022). Do You Really Know if It’s True? How Asking Users to Rate Stories Affects Belief in Fake News on Social Media. Information Systems Research. 33(3). 887–907. 27 indexed citations
7.
Kim, Antino, Mochen Yang, & Jingjing Zhang. (2022). When Algorithms Err : Differential Impact of Early vs. Late Errors on Users’ Reliance on Algorithms. ACM Transactions on Computer-Human Interaction. 30(1). 1–36. 11 indexed citations
8.
9.
Kim, Antino, et al.. (2021). Manufacturer’s “1-Up” from Used Games: Insights from the Secondhand Market for Video Games. Information Systems Research. 32(4). 1173–1191. 9 indexed citations
10.
Kim, Antino, Mochen Yang, & Jingjing Zhang. (2020). When Algorithms Err: Differential Impact of Early vs. Late Errors on Users' Reliance on Algorithms. SSRN Electronic Journal. 3 indexed citations
11.
Dennis, Alan R., et al.. (2020). User reactions to COVID-19 screening chatbots from reputable providers. Journal of the American Medical Informatics Association. 27(11). 1727–1731. 40 indexed citations
12.
Moravec, Patricia, Antino Kim, & Alan R. Dennis. (2020). Appealing to Sense and Sensibility: System 1 and System 2 Interventions for Fake News on Social Media. Information Systems Research. 31(3). 987–1006. 119 indexed citations
13.
Moravec, Patricia, Antino Kim, & Alan R. Dennis. (2018). Flagging Fake News: System 1 vs. System 2. Journal of the Association for Information Systems. 3 indexed citations
14.
Dey, Debabrata, Antino Kim, & Atanu Lahiri. (2018). Online Piracy and the “Longer Arm” of Enforcement. Management Science. 65(3). 1173–1190. 27 indexed citations
15.
Kim, Antino. (2018). Doubly-Bound Relationship Between Publisher and Retailer: The Curious Mix of Wholesale and Agency Models. Journal of Management Information Systems. 35(3). 840–865. 12 indexed citations
16.
17.
Kim, Antino, Patricia Moravec, & Alan R. Dennis. (2017). Behind the Stars: The Effects of News Source Ratings on Fake News in Social Media. SSRN Electronic Journal. 4 indexed citations
18.
Kim, Antino, Atanu Lahiri, & Debabrata Dey. (2014). The 'Invisible Hand' of Piracy: An Economic Analysis of the Information-Goods Supply Chain. SSRN Electronic Journal. 6 indexed citations
19.
Kim, Antino, Atanu Lahiri, & Debabrata Dey. (2013). Combating Online Piracy: Should Pirated Products Be Made Less Available or Less Attractive?. SSRN Electronic Journal. 2 indexed citations
20.
Kim, Antino, et al.. (2008). Impact of RTOS parameters on end-to-end timing performance. ACM SIGBED Review. 5(1). 1–2. 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.

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