Willie Neiswanger
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Immunology
- Computational Theory and Mathematics
- Materials Chemistry
- Co-authors
- Colin WhiteEric P. XingJeff SchneiderBarnabás PóczosKirthevasan KandasamyMichael L. DustinViveka MayyaFrank Wood
- Topics
- Machine Learning and Algorithms (4 papers)Machine Learning and Data Classification (4 papers)Bayesian Methods and Mixture Models (2 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputational Theory and Mathematics
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Willie Neiswanger
24 papers receiving 340 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 203
- Computer Vision and Pattern Recognition 115
- Immunology 38
- Computational Theory and Mathematics 34
- Materials Chemistry 33
Countries citing papers authored by Willie Neiswanger
This map shows the geographic impact of Willie Neiswanger'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 Willie Neiswanger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Willie Neiswanger more than expected).
Fields of papers citing papers by Willie Neiswanger
This network shows the impact of papers produced by Willie Neiswanger. 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 Willie Neiswanger. The network helps show where Willie Neiswanger may publish in the future.
Co-authorship network of co-authors of Willie Neiswanger
This figure shows the co-authorship network connecting the top 25 collaborators of Willie Neiswanger. A scholar is included among the top collaborators of Willie Neiswanger 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 Willie Neiswanger. Willie Neiswanger 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 | 2 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | Neural Dynamical Systems | 2 |
| 8 | Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments. | 5 |
| 9 | Offline Contextual Bayesian Optimization | 6 |
| 10 | ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations | 12 |
| 11 | 13 | |
| 12 | Neural Architecture Search with Bayesian Optimisation and Optimal Transport | 71 |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | 31 | |
| 17 | Post-Inference Prior Swapping | 2 |
| 18 | Generalized póya urn for time-varying pitman-yor processes | 7 |
| 19 | 8 | |
| 20 | 15 |
About Willie Neiswanger
Willie Neiswanger is a scholar working on Artificial Intelligence, Media Technology and Statistics and Probability, having authored 24 papers that have together received 352 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (4 papers), Machine Learning and Data Classification (4 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Artificial Intelligence (203 citations), Computer Vision and Pattern Recognition (115 citations) and Computational Theory and Mathematics (34 citations). Willie Neiswanger has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Colin White, Eric P. Xing, Jeff Schneider, Barnabás Póczos, Kirthevasan Kandasamy, Michael L. Dustin, Viveka Mayya, Frank Wood, Enas Abu‐Shah and Lance C. Kam. Their work appears in journals such as The Journal of Immunology, Cell Reports and Journal of Immunological Methods.
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.