Taehoon Kang
About
In The Last Decade
Taehoon Kang
22 papers receiving 380 citations
Peers
Comparison fields: 5 of 91
- Management Science and Operations Research 160
- Computer Networks and Communications 91
- Clinical Psychology 74
- Statistics and Probability 72
- Experimental and Cognitive Psychology 59
Countries citing papers authored by Taehoon Kang
This map shows the geographic impact of Taehoon Kang'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 Taehoon Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taehoon Kang more than expected).
Fields of papers citing papers by Taehoon Kang
This network shows the impact of papers produced by Taehoon Kang. 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 Taehoon Kang. The network helps show where Taehoon Kang may publish in the future.
Co-authorship network of co-authors of Taehoon Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Taehoon Kang. A scholar is included among the top collaborators of Taehoon Kang 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 Taehoon Kang. Taehoon Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | The Effectiveness of a School Violence Bystanders Program | 5 |
| 5 | Evaluating the Impacts of ICT Use: A Multi-Level Analysis with Hierarchical Linear Modeling | 17 |
| 6 | A Comparison of MCMC and MMLE/EM Algorithms for Fixed Item Parameter Calibration | 1 |
| 7 | The effects of test length and performance-level number on classification consistency and accuracy | 0 |
| 8 | The Effect of Computer-Related Characteristics on University Students' Achievement in e-Learning Courses | 1 |
| 9 | 24 | |
| 10 | 73 | |
| 11 | Some Aspects of the Technical Quality of Formative Assessments in Middle School Mathematics. CRESST Report 750. | 5 |
| 12 | Linking Item Parameters to a Base Scale. ACT Research Report Series, 2009-2. | 1 |
| 13 | 54 | |
| 14 | 115 | |
| 15 | An Investigation of the Performance of the Generalized S-X[superscript 2] Item-Fit Index for Polytomous IRT Models. ACT Research Report Series, 2007-1. | 2 |
| 16 | Object based contour detection by using Graph-cut on Stereo image | 1 |
| 17 | 66 | |
| 18 | Application of Multilevel IRT to Multiple-Form Linking When Common Items Are Drifted | 1 |
| 19 | 6 | |
| 20 | Choosing a Polytomous IRT Model using Bayesian Model Selection Methods | 5 |
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.