Joslin Goh
- Artificial Intelligence top 10%
- Computer Science Applications top 5%
- Management Science and Operations Research top 10%
- Statistics, Probability and Uncertainty top 5%
- Computational Theory and Mathematics
- Co-authors
- Edith LawKate LarsonJames Paul HollowayErica M. RutterCarolyn KuranzMichael GrosskopfDerek BinghamKevin Chen
- Topics
- Mobile Crowdsensing and Crowdsourcing (5 papers)Psychological and Educational Research Studies (3 papers)Imbalanced Data Classification Techniques (3 papers)
- Cited by
- Computer Science ApplicationsStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaTechnometricsIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- CanadaUnited StatesCzechia
In The Last Decade
Joslin Goh
15 papers receiving 285 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 92
- Computer Science Applications 86
- Management Science and Operations Research 39
- Statistics, Probability and Uncertainty 38
- Computational Theory and Mathematics 35
Countries citing papers authored by Joslin Goh
This map shows the geographic impact of Joslin Goh'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 Joslin Goh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joslin Goh more than expected).
Fields of papers citing papers by Joslin Goh
This network shows the impact of papers produced by Joslin Goh. 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 Joslin Goh. The network helps show where Joslin Goh may publish in the future.
Co-authorship network of co-authors of Joslin Goh
This figure shows the co-authorship network connecting the top 25 collaborators of Joslin Goh. A scholar is included among the top collaborators of Joslin Goh 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 Joslin Goh. Joslin Goh 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 | 17 | |
| 4 | 9 | |
| 5 | 21 | |
| 6 | 32 | |
| 7 | 12 | |
| 8 | 40 | |
| 9 | 19 | |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 57 | |
| 13 | 3 | |
| 14 | 68 | |
| 15 | Computer Model Calibration Using Outputs From Multi Fidelity Simulators | 1 |
About Joslin Goh
Joslin Goh is a scholar working on Computer Science Applications, Geriatrics and Gerontology and Management Science and Operations Research, having authored 15 papers that have together received 296 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (5 papers), Psychological and Educational Research Studies (3 papers) and Imbalanced Data Classification Techniques (3 papers). The work is most often cited by research in Computer Science Applications (86 citations), Statistics, Probability and Uncertainty (38 citations) and Management Science and Operations Research (39 citations). Joslin Goh has collaborated with scholars based in Canada, United States and Czechia. Frequent co-authors include Edith Law, Kate Larson, James Paul Holloway, Erica M. Rutter, Carolyn Kuranz, Michael Grosskopf, Derek Bingham, Kevin Chen, Ming Yin and Mike Schaekermann. Their work appears in journals such as SHILAP Revista de lepidopterología, Technometrics and IEEE Transactions on Geoscience and Remote Sensing.
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.