Andrew Spielberg

1.5k citations
32 papers · 912 indexed · h-index 18
Topics
Modular Robots and Swarm Intelligence (9 papers)Soft Robotics and Applications (6 papers)Robot Manipulation and Learning (5 papers)
Journals
Proceedings of the National Academy of SciencesAdvanced MaterialsSHILAP Revista de lepidopterología

In The Last Decade

Andrew Spielberg

32 papers receiving 884 citations

Peers

Andrew Spielberg
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
Replace Devin Balkcom with:
Devin Balkcom United States
Sehoon Ha United States
Moritz Bächer Switzerland
Desai Chen United States
Martin L. Demaine United States
Kimitoshi Yamazaki Japan
Zhe Hu China
Shinjiro Sueda United States
A. García‐Alonso Spain
Rafaél Aracil Spain
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Citations per field
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Citations per year

Countries citing papers authored by Andrew Spielberg

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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

About Andrew Spielberg

Andrew Spielberg is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Industrial and Manufacturing Engineering, having authored 32 papers that have together received 912 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (9 papers), Soft Robotics and Applications (6 papers) and Robot Manipulation and Learning (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (67 citations), Human-Computer Interaction (87 citations) and Industrial and Manufacturing Engineering (107 citations). Andrew Spielberg has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Daniela Rus, Wojciech Matusik, Josie Hughes, Tao Du, Allan Zhao, Yuanming Hu, Adriana Schulz, Jie Xu, Kui Wu and Jiancheng Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and SHILAP Revista de lepidopterología.

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.

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