Hyunmi Baek
- Sociology and Political Science top 2%
- Marketing top 2%
- Information Systems and Management top 2%
- Artificial Intelligence top 5%
- Communication top 5%
- Co-authors
- JoongHo AhnYoungseok ChoiSeongcheol KimMoonkyoung JangHee‐Dong YangSaerom LeeJungJoo JahngHye‐Jin Paek
- Topics
- Digital Marketing and Social Media (20 papers)Technology Adoption and User Behaviour (10 papers)Social Media and Politics (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputers in Human BehaviorIEEE Transactions on Vehicular Technology
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Hyunmi Baek
34 papers receiving 799 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Sociology and Political Science 658
- Marketing 291
- Information Systems and Management 265
- Artificial Intelligence 224
- Communication 109
Countries citing papers authored by Hyunmi Baek
This map shows the geographic impact of Hyunmi Baek'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 Hyunmi Baek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyunmi Baek more than expected).
Fields of papers citing papers by Hyunmi Baek
This network shows the impact of papers produced by Hyunmi Baek. 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 Hyunmi Baek. The network helps show where Hyunmi Baek may publish in the future.
Co-authorship network of co-authors of Hyunmi Baek
This figure shows the co-authorship network connecting the top 25 collaborators of Hyunmi Baek. A scholar is included among the top collaborators of Hyunmi Baek 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 Hyunmi Baek. Hyunmi Baek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 3 | |
| 8 | 71 | |
| 9 | 27 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | Normative Social Influence and Online Review Helpfulness: Polynomial Modeling and Response Surface Analysis | 38 |
| 13 | 3 | |
| 14 | 6 | |
| 15 | Chronological analysis of the electronic word-of-mouth effect of four social media channels on movie sales: Comparing Twitter, Yahoo!Movies, YouTube, and blogs | 2 |
| 16 | The Impact of Youtube on International Trade | 2 |
| 17 | Effects of User Propensity on Total Charges of Mobile Communication: The Role of Mobile Services | 1 |
| 18 | 0 | |
| 19 | 0 | |
| 20 | 4 |
About Hyunmi Baek
Hyunmi Baek is a scholar working on Information Systems and Management, Communication and Marketing, having authored 41 papers that have together received 851 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (20 papers), Technology Adoption and User Behaviour (10 papers) and Social Media and Politics (7 papers). The work is most often cited by research in Information Systems and Management (265 citations), Marketing (291 citations) and Communication (109 citations). Hyunmi Baek has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include JoongHo Ahn, Youngseok Choi, Seongcheol Kim, Moonkyoung Jang, Hee‐Dong Yang, Saerom Lee, JungJoo Jahng, Hye‐Jin Paek, Dam Hee Kim and Thomas Hove. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and IEEE Transactions on Vehicular Technology.
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.