Hyunchul Ahn

88 papers receiving 1.6k citations

Peers

Hyunchul Ahn
Comparison fields: 5 of 135
  • Information Systems and Management 199
  • Management Science and Operations Research 285
  • Information Systems 443
  • Management Information Systems 168
  • Artificial Intelligence 589
Replace Anuj Sharma with:
Anuj Sharma India
Zhongju Zhang United States
Chih‐Hung Wu Taiwan
Michael Chui United Kingdom
Stephen Shaoyi Liao Hong Kong
Shuai Zhang China
Krishnamurty Muralidhar United States
Emmanuel Sirimal Silva United Kingdom
Lynn Wu United States
Hyunchul Ahn relative to Anuj Sharma India Anuj Sharma's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hyunchul Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Hyunchul Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hyunchul Ahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hyunchul Ahn Line = papers co-authored together Hyunchul Ahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006230
2 2008142
3 2011119
4 200776
5 201170
6 200967
7 200959
8 202255
9 200555
10 201151
11 201848
12 201442
13 200641
14 202039
15 200839
16 201738
17 200636
18 200634
19 200933
20 200632

About Hyunchul Ahn

Hyunchul Ahn is a scholar working on Information Systems, Artificial Intelligence, Sociology and Political Science, Information Systems and Management and Marketing, having authored 105 papers that have together received 1.8k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (18 papers), Recommender Systems and Techniques (14 papers), Digital Marketing and Social Media (12 papers), Technology and Data Analysis (12 papers), Customer churn and segmentation (10 papers), Financial Distress and Bankruptcy Prediction (9 papers), Knowledge Management and Sharing (8 papers) and Stock Market Forecasting Methods (7 papers). The work is most often cited by research in Information Systems and Management (199 citations), Management Science and Operations Research (285 citations), Information Systems (443 citations), Management Information Systems (168 citations) and Artificial Intelligence (589 citations). Hyunchul Ahn has collaborated with scholars based in South Korea, United States and Latvia. Frequent co-authors include Kyoung-jae Kim, Ki Soo Kim, Ingoo Han, Kee-Young Kwahk, Sangjae Lee, Seung Ryul Jeong, H. W. Lee, Kyoungdoug Min, Hyungmook Kang and Yun‐Ju Lee. Their work appears in journals such as Expert Systems with Applications, Sustainability, Journal of Information Systems, International Journal of Information Management and INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences.

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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