Laine Bradshaw
- Management Science and Operations Research top 2%
- Artificial Intelligence top 5%
- Statistics and Probability top 2%
- Education top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Jonathan TemplinAndrew IzsákErik JacobsonAshley J. HarrisonJonathan M. CampbellSedat ŞenDaniel JurichRen Liu
- Topics
- Psychometric Methodologies and Testing (11 papers)Statistics Education and Methodologies (7 papers)Advanced Statistical Modeling Techniques (7 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityComputer Science Applications
- Partner nations
- United StatesTürkiye
In The Last Decade
Laine Bradshaw
17 papers receiving 677 citations
Peers
Comparison fields: 5 of 70
- Management Science and Operations Research 293
- Artificial Intelligence 218
- Statistics and Probability 190
- Education 165
- Computer Networks and Communications 139
Countries citing papers authored by Laine Bradshaw
This map shows the geographic impact of Laine Bradshaw'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 Laine Bradshaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laine Bradshaw more than expected).
Fields of papers citing papers by Laine Bradshaw
This network shows the impact of papers produced by Laine Bradshaw. 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 Laine Bradshaw. The network helps show where Laine Bradshaw may publish in the future.
Co-authorship network of co-authors of Laine Bradshaw
This figure shows the co-authorship network connecting the top 25 collaborators of Laine Bradshaw. A scholar is included among the top collaborators of Laine Bradshaw 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 Laine Bradshaw. Laine Bradshaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 23 | |
| 6 | 15 | |
| 7 | 49 | |
| 8 | 17 | |
| 9 | 85 | |
| 10 | 28 | |
| 11 | 36 | |
| 12 | 22 | |
| 13 | 111 | |
| 14 | 45 | |
| 15 | 46 | |
| 16 | 104 | |
| 17 | 27 | |
| 18 | 76 |
About Laine Bradshaw
Laine Bradshaw is a scholar working on Management Science and Operations Research, Statistics and Probability and Experimental and Cognitive Psychology, having authored 18 papers that have together received 698 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (11 papers), Statistics Education and Methodologies (7 papers) and Advanced Statistical Modeling Techniques (7 papers). The work is most often cited by research in Management Science and Operations Research (293 citations), Statistics and Probability (190 citations) and Computer Science Applications (54 citations). Laine Bradshaw has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Jonathan Templin, Andrew Izsák, Erik Jacobson, Ashley J. Harrison, Jonathan M. Campbell, Sedat Şen, Daniel Jurich, Ren Liu, Anne Corinne Huggins‐Manley and Roy Levy. Their work appears in journals such as Journal of Autism and Developmental Disorders, Frontiers in Psychology and Psychometrika.
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.