Bryan R. Gibson
- Artificial Intelligence top 5%
- Developmental and Educational Psychology
- Information Systems top 10%
- Education
- Molecular Biology
- Co-authors
- Xiaojin ZhuDragomir RadevTimothy T. RogersAndrew B. GoldbergYee Fan TanRobert DaleDongwon LeeMin‐Yen Kan
- Topics
- Machine Learning and Algorithms (3 papers)Topic Modeling (3 papers)Child and Animal Learning Development (3 papers)
- Partner nations
- United StatesAustraliaSingapore
In The Last Decade
Bryan R. Gibson
23 papers receiving 395 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 275
- Developmental and Educational Psychology 57
- Information Systems 54
- Education 44
- Molecular Biology 35
Countries citing papers authored by Bryan R. Gibson
This map shows the geographic impact of Bryan R. Gibson'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 Bryan R. Gibson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan R. Gibson more than expected).
Fields of papers citing papers by Bryan R. Gibson
This network shows the impact of papers produced by Bryan R. Gibson. 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 Bryan R. Gibson. The network helps show where Bryan R. Gibson may publish in the future.
Co-authorship network of co-authors of Bryan R. Gibson
This figure shows the co-authorship network connecting the top 25 collaborators of Bryan R. Gibson. A scholar is included among the top collaborators of Bryan R. Gibson 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 Bryan R. Gibson. Bryan R. Gibson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | An Analysis of Kenneth Waltz's Theory of International Politics | 1 |
| 2 | What causes category-shifting in human semi-supervised learning? | 4 |
| 3 | For all parties involved, the Iran nuclear deal is a big win | 1 |
| 4 | 27 | |
| 5 | 5 | |
| 6 | 38 | |
| 7 | Humans Learn Using Manifolds, Reluctantly | 7 |
| 8 | Semi-supervised learning is observed in a speeded but not an unspeeded 2D categorization task | 8 |
| 9 | 1 | |
| 10 | Cognitive Models of Test-Item Effects in Human Category Learning | 23 |
| 11 | Human Rademacher Complexity | 10 |
| 12 | The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics | 149 |
| 13 | The Criminal Justice System: An Introduction | 5 |
| 14 | Criminal Justice Act 2003: A Guide to the New Procedures and Sentencing | 2 |
| 15 | Domestic violence and occupation of the family home | 2 |
| 16 | Introduction to youth justice : incorporating an introduction to the youth court | 1 |
| 17 | Fine impositions and enforcement following the Criminal Justice Act 1993 | 4 |
| 18 | Criminal Justice in Transition | 3 |
| 19 | The use of seclusion. | 3 |
| 20 | The hard X-ray burst spectrometer event listing 1980-1987 | 4 |
About Bryan R. Gibson
Bryan R. Gibson is a scholar working on Law, Artificial Intelligence and Cultural Studies, having authored 28 papers that have together received 440 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (3 papers), Topic Modeling (3 papers) and Child and Animal Learning Development (3 papers). The work is most often cited by research in Artificial Intelligence (275 citations), Developmental and Educational Psychology (57 citations) and Statistics and Probability (31 citations). Bryan R. Gibson has collaborated with scholars based in United States, Australia and Singapore. Frequent co-authors include Xiaojin Zhu, Dragomir Radev, Timothy T. Rogers, Andrew B. Goldberg, Yee Fan Tan, Robert Dale, Dongwon Lee, Min‐Yen Kan, Steven Bird and Bonnie J. Dorr. Their work appears in journals such as Cognitive Science, Educational Studies in Mathematics and Scientific Studies of Reading.
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.