Eric Jonas
Impact in
- Acoustics and Ultrasonics top 5%
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- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
Papers in
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- Gaussian Processes and Bayesian Inference 3
- Machine Learning and Algorithms 2
- Bayesian Modeling and Causal Inference 2
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- Metabolomics and Mass Spectrometry Studies 3
- Protein Structure and Dynamics 2
- Co-authors
- Konrad P. Körding (2 shared papers)Benjamin Recht (4 shared papers)Ion Stoica (2 shared papers)Qifan Pu (2 shared papers)Shivaram Venkataraman (2 shared papers)Stefan Kühn (2 shared papers)Nils E. Schlörer (1 shared paper)Vaishaal Shankar (2 shared papers)
- Journals
- Magnetic Resonance in Chemistry (1 paper)Chemical Science (1 paper)PLoS Computational Biology (1 paper)Optics Express (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- United StatesUnited KingdomEstonia
In The Last Decade
Eric Jonas
21 papers receiving 944 citations
Eric Jonas's Hit Papers
Peers
Comparison fields: 5 of 108
- Acoustics and Ultrasonics 27
- Computer Networks and Communications 335
- Information Systems 313
- Information Systems and Management 71
- Cognitive Neuroscience 156
Countries citing papers authored by Eric Jonas
This map shows the geographic impact of Eric Jonas'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 Eric Jonas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Jonas more than expected).
Fields of papers citing papers by Eric Jonas
This network shows the impact of papers produced by Eric Jonas. 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 Eric Jonas. The network helps show where Eric Jonas may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Jonas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Occupy the cloud Hit paper breakdown → | 2017 | 305 |
| 2 | 2017 | 163 | |
| 3 | 2019 | 79 | |
| 4 | 2021 | 71 | |
| 5 | 2018 | 70 | |
| 6 | 2015 | 62 | |
| 7 | 2020 | 61 | |
| 8 | 2016 | 49 | |
| 9 | 2015 | 34 | |
| 10 | 2023 | 29 | |
| 11 | Stochastic Digital Circuits for Probabilistic Inference | 2008 | 21 |
| 12 | Deep imitation learning for molecular inverse problems | 2019 | 8 |
| 13 | CrossCat: a fully Bayesian nonparametric method for analyzing heterogeneous, high dimensional data | 2016 | 6 |
| 14 | 2023 | 6 | |
| 15 | Exact and approximate sampling by systematic stochastic search | 2009 | 4 |
| 16 | 2023 | 3 | |
| 17 | Scaling Nonparametric Bayesian Inference via Subsample-Annealing | 2014 | 2 |
| 18 | 2017 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2014 | 1 |
About Eric Jonas
Eric Jonas is a scholar working on Artificial Intelligence, Molecular Biology, Spectroscopy, Computer Networks and Communications and Astronomy and Astrophysics, having authored 21 papers that have together received 977 indexed citations. Recurring topics across this work include Molecular spectroscopy and chirality (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Gaussian Processes and Bayesian Inference (3 papers), Protein Structure and Dynamics (2 papers), Machine Learning and Algorithms (2 papers), Solar and Space Plasma Dynamics (2 papers), Cloud Computing and Resource Management (2 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (27 citations), Computer Networks and Communications (335 citations), Information Systems (313 citations), Information Systems and Management (71 citations) and Cognitive Neuroscience (156 citations). Eric Jonas has collaborated with scholars based in United States, United Kingdom and Estonia. Frequent co-authors include Konrad P. Körding, Benjamin Recht, Ion Stoica, Qifan Pu, Shivaram Venkataraman, Stefan Kühn, Nils E. Schlörer, Vaishaal Shankar, Monica Bobra and J. T. Hoeksema. Their work appears in journals such as Magnetic Resonance in Chemistry, Chemical Science, PLoS Computational Biology, Optics Express and Analytical Chemistry.
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.