Eric Jonas
About
In The Last Decade
Eric Jonas
20 papers receiving 825 citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Computer Networks and Communications 306
- Information Systems 293
- Molecular Biology 145
- Cognitive Neuroscience 144
- Artificial Intelligence 129
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-authorship network of co-authors of Eric Jonas
This figure shows the co-authorship network connecting the top 25 collaborators of Eric Jonas. A scholar is included among the top collaborators of Eric Jonas 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 Eric Jonas. Eric Jonas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 24 | |
| 3 | 6 | |
| 4 | 62 | |
| 5 | 57 | |
| 6 | Deep imitation learning for molecular inverse problems | 7 |
| 7 | 1 | |
| 8 | 73 | |
| 9 | 1 | |
| 10 | 66 | |
| 11 | 150 | |
| 12 | Occupy the cloud breakdown → | 285 |
| 13 | 1 | |
| 14 | CrossCat: a fully Bayesian nonparametric method for analyzing heterogeneous, high dimensional data | 6 |
| 15 | 61 | |
| 16 | 31 | |
| 17 | Scaling Nonparametric Bayesian Inference via Subsample-Annealing | 1 |
| 18 | 1 | |
| 19 | Exact and approximate sampling by systematic stochastic search | 3 |
| 20 | Stochastic Digital Circuits for Probabilistic Inference | 19 |
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.