Jonathan Schwarz
Impact in
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- Human Pose and Action Recognition
- Video Analysis and Summarization
- Multimodal Machine Learning Applications
- Control and Systems Engineering top 10%
- Human Motion and Animation
Papers in
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- Markov Chains and Monte Carlo Methods 3
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- Gaussian Processes and Bayesian Inference 2
- Neural Networks and Applications 2
- Topic Modeling 2
- Co-authors
- Taku Komura (1 shared paper)Daniel Holden (1 shared paper)Ikhsanul Habibie (1 shared paper)Chris Dyer (1 shared paper)Phil Blunsom (1 shared paper)Karl Moritz Hermann (1 shared paper)Tomáš Kočiský (1 shared paper)Edward Grefenstette (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Canadian Pharmacists Journal / Revue des Pharmaciens du Canada (1 paper)Lecture notes in computer science (4 papers)Entropy (1 paper)Bloomsbury Professional eBooks (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Jonathan Schwarz
10 papers receiving 185 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 133
- Control and Systems Engineering 91
- Computational Mathematics 2
- Artificial Intelligence 75
- Human-Computer Interaction 10
Countries citing papers authored by Jonathan Schwarz
This map shows the geographic impact of Jonathan Schwarz'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 Jonathan Schwarz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Schwarz more than expected).
Fields of papers citing papers by Jonathan Schwarz
This network shows the impact of papers produced by Jonathan Schwarz. 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 Jonathan Schwarz. The network helps show where Jonathan Schwarz may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Schwarz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 121 | |
| 2 | 2018 | 35 | |
| 3 | Multiplicative Interactions and Where to Find Them | 2020 | 28 |
| 4 | 2021 | 3 | |
| 5 | 2019 | 3 | |
| 6 | 2022 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2021 | 1 | |
| 9 | Discrimination of normal and dyskaryotic cells with a new high-resolution system (CIALIS). | 1983 | 1 |
| 10 | 2023 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 0 |
About Jonathan Schwarz
Jonathan Schwarz is a scholar working on Statistics and Probability, Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 12 papers that have together received 196 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (3 papers), Gaussian Processes and Bayesian Inference (2 papers), Neural Networks and Applications (2 papers), Multimodal Machine Learning Applications (2 papers), Topic Modeling (2 papers), Cannabis and Cannabinoid Research (1 paper), Machine Learning in Bioinformatics (1 paper) and Innovative Approaches in Technology and Social Development (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (133 citations), Control and Systems Engineering (91 citations), Computational Mathematics (2 citations), Artificial Intelligence (75 citations) and Human-Computer Interaction (10 citations). Jonathan Schwarz has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Taku Komura, Daniel Holden, Ikhsanul Habibie, Chris Dyer, Phil Blunsom, Karl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, Siddhant M. Jayakumar and Jack W. Rae. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Canadian Pharmacists Journal / Revue des Pharmaciens du Canada, Lecture notes in computer science, Entropy and Bloomsbury Professional eBooks.
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.