Daehwan Ahn

434 total citations
11 papers, 276 citations indexed

About

Daehwan Ahn is a scholar working on Sociology and Political Science, Safety Research and Social Psychology. According to data from OpenAlex, Daehwan Ahn has authored 11 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 4 papers in Safety Research and 2 papers in Social Psychology. Recurrent topics in Daehwan Ahn's work include Ethics and Social Impacts of AI (4 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Daehwan Ahn is often cited by papers focused on Ethics and Social Impacts of AI (4 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Daehwan Ahn collaborates with scholars based in United States, South Korea and Canada. Daehwan Ahn's co-authors include Joonhwan Lee, Kartik Hosanagar, Byungjoon Yoo, Hana Kim, Nam H. Cho, A Ram Hong, Chan Soo Shin, Karthik Srinivasan, Jung Hee Kim and Abdullah Almaatouq and has published in prestigious journals such as Electronic Commerce Research and Applications, Information Systems and e-Business Management and JBMR Plus.

In The Last Decade

Daehwan Ahn

11 papers receiving 268 citations

Peers

Daehwan Ahn

AI

SR

SPS

HI

Peter Fernández United States

Lennart Hofeditz Germany

Rifat Ara Shams Australia

Mona Sloane United States

Matt Beane United States

Scott Robbins Netherlands

Deniz İren Netherlands

Zana Buçinca United States

Mageswaran Sanmugam Malaysia

Stephan Diederich Germany

Peter Fernández United States

Daehwan Ahn

64 ×0.9

AI

13 ×0.2

SR

41 ×0.7

SPS

31 ×0.7

HI

29 ×0.8

HI

Citations per year, relative to Daehwan Ahn Daehwan Ahn (= 1×) peers Peter Fernández

Countries citing papers authored by Daehwan Ahn

Since Specialization

Citations

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

Fields of papers citing papers by Daehwan Ahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daehwan Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Daehwan Ahn. A scholar is included among the top collaborators of Daehwan Ahn 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 Daehwan Ahn. Daehwan Ahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Ahn, Daehwan, et al.. (2024). The Promise and Peril of ChatGPT in Higher Education: Opportunities, Challenges, and Design Implications. 1–21. 28 indexed citations

2.

Ahn, Daehwan, et al.. (2024). Impact of Model Interpretability and Outcome Feedback on Trust in AI. 1–25. 11 indexed citations

3.

Ahn, Daehwan, et al.. (2024). Lessons From Working in the Metaverse: Challenges, Choices, and Implications from a Case Study. 1–16. 3 indexed citations

4.

Ahn, Daehwan, et al.. (2023). Towards a Metaverse Workspace: Opportunities, Challenges, and Design Implications. 1–20. 35 indexed citations

5.

Ahn, Daehwan, et al.. (2022). Designing Fair AI in Human Resource Management: Understanding Tensions Surrounding Algorithmic Evaluation and Envisioning Stakeholder-Centered Solutions. CHI Conference on Human Factors in Computing Systems. 1–22. 38 indexed citations

6.

Ahn, Daehwan, et al.. (2021). Will We Trust What We Don’t Understand? Impact of Model Interpretability and Outcome Feedback on Trust in AI. SSRN Electronic Journal. 10 indexed citations

7.

Ahn, Daehwan, et al.. (2021). Human-AI Interaction in Human Resource Management: Understanding Why Employees Resist Algorithmic Evaluation at Workplaces and How to Mitigate Burdens. 1–15. 64 indexed citations

8.

Kong, Sung Hye, Daehwan Ahn, Karthik Srinivasan, et al.. (2020). A Novel Fracture Prediction Model Using Machine Learning in a Community‐Based Cohort. JBMR Plus. 4(3). e10337–e10337. 51 indexed citations

9.

Ahn, Daehwan, Dokyun Lee, & Kartik Hosanagar. (2020). Interpretable Deep Learning Approach to Churn Management. SSRN Electronic Journal. 2 indexed citations

10.

Ahn, Daehwan, et al.. (2017). Which group do you want to travel with? A study of rating differences among groups in online travel reviews. Electronic Commerce Research and Applications. 25. 105–114. 32 indexed citations

11.

Ahn, Daehwan, Seongmin Jeon, & Byungjoon Yoo. (2017). What’s your real age? an empirical analysis of identity fraud in online game. Information Systems and e-Business Management. 16(4). 775–789. 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.

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