Seung‐pyo Jun
Impact in
- Marketing top 5%
- Consumer Market Behavior and Pricing
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- Innovation Diffusion and Forecasting
Papers in
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- Innovation Policy and R&D 8
- Energy, Environment, Economic Growth 3
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- Innovation Diffusion and Forecasting 9
- Co-authors
- Hyoung Sun Yoo (13 shared papers)Do-Hyung Park (4 shared papers)Jae‐Seong Lee (3 shared papers)Hyunwoo Park (5 shared papers)Tae-Eung Sung (4 shared papers)Juyeon Lee (2 shared papers)Chul Lee (4 shared papers)Ye Lim Jung (2 shared papers)
- Journals
- Technological Forecasting and Social Change (11 papers)Scientific Reports (2 papers)Sustainability (1 paper)Energy Research & Social Science (1 paper)Scientometrics (1 paper)
- Partner nations
- South KoreaSingapore
In The Last Decade
Seung‐pyo Jun
29 papers receiving 809 citations
Seung‐pyo Jun's Hit Papers
Peers
Comparison fields: 5 of 113
- Marketing 115
- Management Science and Operations Research 126
- Modeling and Simulation 43
- Management of Technology and Innovation 48
- Management Information Systems 61
Countries citing papers authored by Seung‐pyo Jun
This map shows the geographic impact of Seung‐pyo Jun'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 Seung‐pyo Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung‐pyo Jun more than expected).
Fields of papers citing papers by Seung‐pyo Jun
This network shows the impact of papers produced by Seung‐pyo Jun. 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 Seung‐pyo Jun. The network helps show where Seung‐pyo Jun may publish in the future.
Co-authors
The 11 scholars most cited alongside Seung‐pyo Jun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ten years of research change using Google Trends: From the perspective of big data utilizations and applications Hit paper breakdown → | 2017 | 342 |
| 2 | 2013 | 59 | |
| 3 | 2012 | 56 | |
| 4 | 2013 | 51 | |
| 5 | 2016 | 50 | |
| 6 | 2021 | 41 | |
| 7 | 2011 | 33 | |
| 8 | 2016 | 28 | |
| 9 | 2020 | 26 | |
| 10 | 2012 | 24 | |
| 11 | 2020 | 19 | |
| 12 | 2017 | 19 | |
| 13 | 2016 | 17 | |
| 14 | 2021 | 15 | |
| 15 | 2023 | 14 | |
| 16 | 2018 | 11 | |
| 17 | 2022 | 11 | |
| 18 | 2023 | 8 | |
| 19 | 2016 | 7 | |
| 20 | 2023 | 6 |
About Seung‐pyo Jun
Seung‐pyo Jun is a scholar working on Economics and Econometrics, Management Science and Operations Research, Sociology and Political Science, Information Systems and Marketing, having authored 32 papers that have together received 853 indexed citations. Recurring topics across this work include Innovation Diffusion and Forecasting (9 papers), Innovation Policy and R&D (8 papers), Digital Marketing and Social Media (5 papers), Consumer Market Behavior and Pricing (5 papers), Technology Assessment and Management (4 papers), Intellectual Property and Patents (3 papers), Technology and Data Analysis (3 papers) and Energy, Environment, Economic Growth (3 papers). The work is most often cited by research in Marketing (115 citations), Management Science and Operations Research (126 citations), Modeling and Simulation (43 citations), Management of Technology and Innovation (48 citations) and Management Information Systems (61 citations). Seung‐pyo Jun has collaborated with scholars based in South Korea and Singapore. Frequent co-authors include Hyoung Sun Yoo, Do-Hyung Park, Jae‐Seong Lee, Hyunwoo Park, Tae-Eung Sung, Juyeon Lee, Chul Lee, Ye Lim Jung, JeeNa Hwang and Sang‐Gook Kim. Their work appears in journals such as Technological Forecasting and Social Change, Scientific Reports, Sustainability, Energy Research & Social Science and Scientometrics.
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.