Jacob R. Gardner
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Management Science and Operations Research top 10%
- Control and Systems Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Kilian Q. WeinbergerJohn P. CunninghamMatt J. KusnerZhixiangAndrew Gordon WilsonChuan GuoDavid ErikssonRoman Garnett
- Topics
- Gaussian Processes and Bayesian Inference (6 papers)Advanced Multi-Objective Optimization Algorithms (4 papers)Neural Networks and Applications (3 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceManagement Science and Operations Research
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaeLife
- Partner nations
- United StatesChinaMexico
In The Last Decade
Jacob R. Gardner
16 papers receiving 495 citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 254
- Computational Theory and Mathematics 144
- Management Science and Operations Research 67
- Control and Systems Engineering 60
- Computer Vision and Pattern Recognition 57
Countries citing papers authored by Jacob R. Gardner
This map shows the geographic impact of Jacob R. Gardner'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 Jacob R. Gardner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob R. Gardner more than expected).
Fields of papers citing papers by Jacob R. Gardner
This network shows the impact of papers produced by Jacob R. Gardner. 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 Jacob R. Gardner. The network helps show where Jacob R. Gardner may publish in the future.
Co-authorship network of co-authors of Jacob R. Gardner
This figure shows the co-authorship network connecting the top 25 collaborators of Jacob R. Gardner. A scholar is included among the top collaborators of Jacob R. Gardner 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 Jacob R. Gardner. Jacob R. Gardner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 52 | |
| 9 | 64 | |
| 10 | GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration | 57 |
| 11 | Product kernel interpolation for scalable gaussian processes | 5 |
| 12 | Discovering and Exploiting Additive Structure for Bayesian Optimization | 29 |
| 13 | Psychophysical detection testing with Bayesian active learning | 8 |
| 14 | 43 | |
| 15 | 30 | |
| 16 | 13 | |
| 17 | Bayesian active model selection with an application to automated audiometry | 21 |
| 18 | Bayesian Optimization with Inequality Constraints | 175 |
| 19 | 1 |
About Jacob R. Gardner
Jacob R. Gardner is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Sensory Systems, having authored 19 papers that have together received 517 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (6 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (144 citations), Artificial Intelligence (254 citations) and Management Science and Operations Research (67 citations). Jacob R. Gardner has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Kilian Q. Weinberger, John P. Cunningham, Matt J. Kusner, Zhixiang, Andrew Gordon Wilson, Chuan Guo, David Eriksson, Roman Garnett, Matthias Poloczek and Michael Pearce. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and eLife.
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.