Maria Schuld
About
In The Last Decade
Maria Schuld
37 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Artificial Intelligence 4.3k
- Atomic and Molecular Physics, and Optics 1.5k
- Computational Theory and Mathematics 866
- Electrical and Electronic Engineering 700
- Materials Chemistry 520
Countries citing papers authored by Maria Schuld
This map shows the geographic impact of Maria Schuld'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 Maria Schuld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Schuld more than expected).
Fields of papers citing papers by Maria Schuld
This network shows the impact of papers produced by Maria Schuld. 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 Maria Schuld. The network helps show where Maria Schuld may publish in the future.
Co-authorship network of co-authors of Maria Schuld
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Schuld. A scholar is included among the top collaborators of Maria Schuld 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 Maria Schuld. Maria Schuld 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | Effect of data encoding on the expressive power of variational quantum-machine-learning models breakdown → | 376 |
| 9 | Machine Learning with Quantum Computers breakdown → | 185 |
| 10 | Stochastic Gradient Descent for Hybrid Quantum-Classical Optimization | 5 |
| 11 | 59 | |
| 12 | Machine learning and the physical sciences breakdown → | 1446 |
| 13 | Evaluating analytic gradients on quantum hardware breakdown → | 577 |
| 14 | Quantum Machine Learning in Feature Hilbert Spaces breakdown → | 835 |
| 15 | 45 | |
| 16 | 146 | |
| 17 | Supervised Learning with Quantum Computers breakdown → | 314 |
| 18 | 9 | |
| 19 | An introduction to quantum machine learning | 254 |
| 20 | 96 |
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.