Andrew Spielberg
About
In The Last Decade
Andrew Spielberg
32 papers receiving 884 citations
Peers
Comparison fields: 5 of 79
- Biomedical Engineering 376
- Mechanical Engineering 284
- Control and Systems Engineering 222
- Computer Vision and Pattern Recognition 203
- Computational Mechanics 118
Countries citing papers authored by Andrew Spielberg
This map shows the geographic impact of Andrew Spielberg'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 Andrew Spielberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Spielberg more than expected).
Fields of papers citing papers by Andrew Spielberg
This network shows the impact of papers produced by Andrew Spielberg. 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 Andrew Spielberg. The network helps show where Andrew Spielberg may publish in the future.
Co-authorship network of co-authors of Andrew Spielberg
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Spielberg. A scholar is included among the top collaborators of Andrew Spielberg 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 Andrew Spielberg. Andrew Spielberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 1 | |
| 3 | 38 | |
| 4 | 3 | |
| 5 | 19 | |
| 6 | 5 | |
| 7 | 14 | |
| 8 | 66 | |
| 9 | 26 | |
| 10 | 37 | |
| 11 | 26 | |
| 12 | 20 | |
| 13 | 57 | |
| 14 | 16 | |
| 15 | Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations | 23 |
| 16 | 139 | |
| 17 | 13 | |
| 18 | 43 | |
| 19 | 33 | |
| 20 | 25 |
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.