Onook Oh

2.1k total citations · 1 hit paper
28 papers, 1.3k citations indexed

About

Onook Oh is a scholar working on Communication, Sociology and Political Science and Statistical and Nonlinear Physics. According to data from OpenAlex, Onook Oh has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Communication, 11 papers in Sociology and Political Science and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Onook Oh's work include Social Media and Politics (6 papers), Misinformation and Its Impacts (6 papers) and Complex Network Analysis Techniques (6 papers). Onook Oh is often cited by papers focused on Social Media and Politics (6 papers), Misinformation and Its Impacts (6 papers) and Complex Network Analysis Techniques (6 papers). Onook Oh collaborates with scholars based in United States, South Korea and Canada. Onook Oh's co-authors include H. Raghav Rao, Manish Agrawal, K. Hazel Kwon, Dawn G. Gregg, Navid Aghakhani, Jahangir Karimi, Gert‐Jan de Vreede, Nargess Tahmasbi, Jie Xiong and Abhishek Tripathi and has published in prestigious journals such as MIS Quarterly, Information Systems Research and International Journal of Information Management.

In The Last Decade

Onook Oh

27 papers receiving 1.3k citations

Hit Papers

Community Intelligence and Social Media Services: A Rumor... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Onook Oh United States 14 884 609 305 230 176 28 1.3k
Chih‐Hui Lai United States 15 845 1.0× 574 0.9× 216 0.7× 165 0.7× 152 0.9× 39 1.4k
Andrea Kavanaugh United States 16 921 1.0× 984 1.6× 123 0.4× 133 0.6× 155 0.9× 73 1.7k
Christoph Neuberger Germany 14 678 0.8× 592 1.0× 154 0.5× 282 1.2× 157 0.9× 61 1.3k
François Bar United States 16 609 0.7× 433 0.7× 156 0.5× 385 1.7× 281 1.6× 45 1.4k
Linh Dang-Xuan Germany 9 1.3k 1.5× 962 1.6× 516 1.7× 569 2.5× 164 0.9× 18 2.2k
Björn Roß Germany 15 556 0.6× 302 0.5× 142 0.5× 530 2.3× 246 1.4× 47 1.3k
Gilad Lotan United States 6 971 1.1× 1.1k 1.8× 654 2.1× 376 1.6× 257 1.5× 11 2.1k
Dave Yates United States 9 530 0.6× 747 1.2× 81 0.3× 131 0.6× 135 0.8× 14 1.2k
Kim Holmberg Finland 19 615 0.7× 425 0.7× 256 0.8× 118 0.5× 405 2.3× 50 1.4k
Damian Trilling Netherlands 23 1.3k 1.5× 1.3k 2.2× 203 0.7× 444 1.9× 170 1.0× 85 2.3k

Countries citing papers authored by Onook Oh

Since Specialization
Citations

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

Fields of papers citing papers by Onook Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Onook Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Onook Oh. A scholar is included among the top collaborators of Onook Oh 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 Onook Oh. Onook Oh 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.
Valecha, Rohit, Onook Oh, & Hengyi Rao. (2025). Design Principles for Information Categorization Quality in Crowdsourced Crisis Mapping Platforms. MIS Quarterly. 49(2). 777–804.
2.
Venkatesan, Srikanth, et al.. (2021). Influence in Social Media: An Investigation of Tweets Spanning the 2011 Egyptian Revolution. MIS Quarterly. 45(4). 1679–1714. 25 indexed citations
3.
Aghakhani, Navid, Onook Oh, Dawn G. Gregg, & Jahangir Karimi. (2020). Online Review Consistency Matters: An Elaboration Likelihood Model Perspective. Information Systems Frontiers. 23(5). 1287–1301. 97 indexed citations
5.
Oh, Onook, Priya Gupta, Manish Agrawal, & H. Raghav Rao. (2018). ICT mediated rumor beliefs and resulting user actions during a community crisis. Government Information Quarterly. 35(2). 243–258. 39 indexed citations
6.
Aghakhani, Navid, Onook Oh, & Dawn G. Gregg. (2017). Beyond the Review Sentiment: The Effect of Review Accuracy and Review Consistency on Review Usefulness. Journal of the Association for Information Systems. 5 indexed citations
7.
Oh, Onook, et al.. (2016). Understanding Sociomateriality through the Lens of Assemblage Theory: Examples from Police Body-Worn Cameras. International Conference on Information Systems. 5 indexed citations
8.
Nguyen, Cuong Duc, Nargess Tahmasbi, Triparna de Vreede, et al.. (2015). Participant Engagement in Community Crowdsourcing. Journal of the Association for Information Systems. 11 indexed citations
9.
Tahmasbi, Nargess, et al.. (2013). Crowdsourcing: A snapshot of published research. Journal of the Association for Information Systems. 962–975. 21 indexed citations
10.
Nguyen, Cuong Duc, et al.. (2013). Crowdsourcing as Lego: Unpacking the Building Blocks of Crowdsourcing Collaboration Processes. Journal of the Association for Information Systems. 984–992. 5 indexed citations
11.
Valecha, Rohit, Onook Oh, & H. Raghav Rao. (2013). An Exploration of Collaboration over Time in Collective Crisis Response during the Haiti 2010 Earthquake.. International Conference on Information Systems. 134(51). 20844–8. 14 indexed citations
12.
Tripathi, Abhishek, et al.. (2013). Conceptual Foundations of Crowdsourcing: A Review of IS Research. 579–588. 135 indexed citations
13.
Saxton, Gregory D., Onook Oh, & Rajiv Kishore. (2013). Rules of Crowdsourcing: Models, Issues, and Systems of Control. Information Systems Management. 30(1). 2–20. 27 indexed citations
14.
Oh, Onook, Nargess Tahmasbi, H. Raghav Rao, & Gert‐Jan de Vreede. (2012). A SOCIOTECHNICAL VIEW OF INFORMATION DIFFUSION AND SOCIAL CHANGES : FROM REPRINT TO RETWEET. Journal of the Association for Information Systems. 3686–3696. 2 indexed citations
15.
Oh, Onook, et al.. (2012). Collective Sense-Making through the Twitter Service during the 2011 Egypt Revolution. International Conference on Information Systems. 4 indexed citations
16.
Kwon, K. Hazel, et al.. (2012). Audience Gatekeeping in the Twitter Service: An Investigation of Tweets about the 2009 Gaza Conflict. Journal of the Association for Information Systems. 4(4). 212–229. 38 indexed citations
17.
Oh, Onook, K. Hazel Kwon, Manish Agrawal, & Hengyi Rao. (2011). Choice of information: A study of twitter news sharing during the 2009 israel-gaza conflict. Journal of the Association for Information Systems. 953–964. 2 indexed citations
18.
Oh, Onook, K. Hazel Kwon, & H. Raghav Rao. (2010). AN EXPLORATION OF SOCIAL MEDIA IN EXTREME EVENTS: RUMOR THEORY AND TWITTER DURING THE HAITI EARTHQUAKE 2010. International Conference on Information Systems. 231. 129 indexed citations
19.
Oh, Onook, Manish Agrawal, & H. Raghav Rao. (2010). Information control and terrorism: Tracking the Mumbai terrorist attack through twitter. Information Systems Frontiers. 13(1). 33–43. 151 indexed citations
20.
Oh, Onook, Rajarshi Chakraborty, H. Raghav Rao, & Shambhu Upadhyaya. (2009). An exploration of unintended online private information disclosure in educational institutions across four countries. 7. 1–11. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026