Kyung T. Han
- Management Science and Operations Research top 5%
- Computer Networks and Communications top 10%
- Statistics and Probability top 5%
- Artificial Intelligence
- Information Systems top 10%
- Co-authors
- Insu PaekStephen G. SireciCraig S. WellsJun LiCheng LiuRonald K. HambletonTie LiangDimiter M. Dimitrov
- Topics
- Psychometric Methodologies and Testing (21 papers)Advanced Statistical Modeling Techniques (12 papers)Intelligent Tutoring Systems and Adaptive Learning (5 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityComputer Science Applications
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Kyung T. Han
30 papers receiving 319 citations
Peers
Comparison fields: 5 of 71
- Management Science and Operations Research 215
- Computer Networks and Communications 108
- Statistics and Probability 68
- Artificial Intelligence 62
- Information Systems 49
Countries citing papers authored by Kyung T. Han
This map shows the geographic impact of Kyung T. Han'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 Kyung T. Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyung T. Han more than expected).
Fields of papers citing papers by Kyung T. Han
This network shows the impact of papers produced by Kyung T. Han. 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 Kyung T. Han. The network helps show where Kyung T. Han may publish in the future.
Co-authorship network of co-authors of Kyung T. Han
This figure shows the co-authorship network connecting the top 25 collaborators of Kyung T. Han. A scholar is included among the top collaborators of Kyung T. Han 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 Kyung T. Han. Kyung T. Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 17 | |
| 5 | 13 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 10 | |
| 9 | 20 | |
| 10 | 7 | |
| 11 | Item Pool Construction Using Mixed Integer Quadratic Programming (MIQP). GMAC® Research Report RR-14-01. | 1 |
| 12 | 14 | |
| 13 | 19 | |
| 14 | 14 | |
| 15 | 18 | |
| 16 | 2 | |
| 17 | Potential Impact of Item Parameter Drift Due to Practice and Curriculum Change on Item Calibration in Computerized Adaptive Testing | 5 |
| 18 | A Gradual Maximum Information Ratio Approach to Item Selection in Computerized Adaptive Testing | 10 |
| 19 | 9 | |
| 20 | 50 |
About Kyung T. Han
Kyung T. Han is a scholar working on Management Science and Operations Research, Statistics and Probability and Software, having authored 32 papers that have together received 379 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (21 papers), Advanced Statistical Modeling Techniques (12 papers) and Intelligent Tutoring Systems and Adaptive Learning (5 papers). The work is most often cited by research in Management Science and Operations Research (215 citations), Statistics and Probability (68 citations) and Computer Science Applications (33 citations). Kyung T. Han has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Insu Paek, Stephen G. Sireci, Craig S. Wells, Jun Li, Cheng Liu, Ronald K. Hambleton, Tie Liang, Dimiter M. Dimitrov, Milena Anatchkova and John E. Ware. Their work appears in journals such as Frontiers in Psychology, Quality of Life Research and Educational and Psychological Measurement.
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.