Isaac I. Bejar
About
In The Last Decade
Isaac I. Bejar
88 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 107
- Management Science and Operations Research 473
- Education 447
- Artificial Intelligence 422
- Developmental and Educational Psychology 323
- Information Systems 209
Countries citing papers authored by Isaac I. Bejar
This map shows the geographic impact of Isaac I. Bejar'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 Isaac I. Bejar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isaac I. Bejar more than expected).
Fields of papers citing papers by Isaac I. Bejar
This network shows the impact of papers produced by Isaac I. Bejar. 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 Isaac I. Bejar. The network helps show where Isaac I. Bejar may publish in the future.
Co-authorship network of co-authors of Isaac I. Bejar
This figure shows the co-authorship network connecting the top 25 collaborators of Isaac I. Bejar. A scholar is included among the top collaborators of Isaac I. Bejar 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 Isaac I. Bejar. Isaac I. Bejar 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 | 7 | |
| 3 | Building "e-rater"® Scoring Models Using Machine Learning Methods. Research Report. ETS RR-16-04. | 2 |
| 4 | Dimensionality Analyses of the "GRE"® revised General Test Verbal and Quantitative Measures. ETS GRE® Board Research Report. ETS GRE®-16-02. ETS Research Report. RR-16-20. | 1 |
| 5 | Creating Vocabulary Item Types That Measure Students' Depth of Semantic Knowledge. Research Report. ETS RR-14-02. | 1 |
| 6 | Length of Textual Response as a Construct-Irrelevant Response Strategy: The Case of Shell Language. Research Report. ETS RR-13-07. | 3 |
| 7 | Toward an Understanding of the Role of Speech Recognition in Nonnative Speech Assessment. TOEFL iBT Research Report. TOEFL iBT-02. ETS RR-07-02. | 3 |
| 8 | Automated Tools for Subject Matter Expert Evaluation of Automated Scoring. Research Report. ETS RR-04-14. | 2 |
| 9 | 2 | |
| 10 | 136 | |
| 11 | An approach to automated scoring of architectural designs | 2 |
| 12 | 47 | |
| 13 | 9 | |
| 14 | 7 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | A Construct Validation of Adaptive Achievement Testing. | 2 |
| 19 | An Information Comparison of Conventional and Adaptive Tests in the Measurement of Classroom Achievement. | 4 |
| 20 | An Information Comparison of Conventional and Adaptive Tests in the Measurement of Classroom Achievement. Research Report 77-7. | 2 |
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.