Jacob Sacks
Impact in
- Human-Computer Interaction top 10%
- Biomedical Engineering top 10%
- Advanced Sensor and Energy Harvesting Materials
- Muscle activation and electromyography studies
- Elasticity and Material Modeling
Papers in
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- Advanced Control Systems Optimization 3
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- Advanced Sensor and Energy Harvesting Materials 2
- Co-authors
- Russell Yang (1 shared paper)Shixuan Yang (1 shared paper)Ying‐Chen Chen (1 shared paper)David M. Schnyer (1 shared paper)Nanshu Lu (1 shared paper)Daniel A. Sánchez (1 shared paper)Pulin Wang (1 shared paper)Dean P. Neikirk (1 shared paper)
- Journals
- Biophysical Journal (1 paper)IEEE Transactions on Circuits & Systems II Express Briefs (1 paper)Advanced Materials (1 paper)arXiv (Cornell University) (1 paper)2022 International Conference on Robotics and Automation (ICRA) (1 paper)
- Partner nations
- United StatesChinaIran
In The Last Decade
Jacob Sacks
7 papers receiving 484 citations
Peers
Comparison fields: 5 of 77
- Human-Computer Interaction 50
- Biomedical Engineering 338
- Cognitive Neuroscience 122
- Polymers and Plastics 83
- Hardware and Architecture 22
Countries citing papers authored by Jacob Sacks
This map shows the geographic impact of Jacob Sacks'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 Jacob Sacks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Sacks more than expected).
Fields of papers citing papers by Jacob Sacks
This network shows the impact of papers produced by Jacob Sacks. 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 Jacob Sacks. The network helps show where Jacob Sacks may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacob Sacks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 277 | |
| 2 | 2016 | 62 | |
| 3 | 2015 | 54 | |
| 4 | Differentiable MPC for End-to-end Planning and Control | 2018 | 35 |
| 5 | 2018 | 27 | |
| 6 | 2018 | 25 | |
| 7 | 2022 | 11 |
About Jacob Sacks
Jacob Sacks is a scholar working on Control and Systems Engineering, Biomedical Engineering, Hardware and Architecture, Artificial Intelligence and Electrical and Electronic Engineering, having authored 7 papers that have together received 491 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (3 papers), Reinforcement Learning in Robotics (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Machine Learning and Algorithms (2 papers), Nanomaterials and Printing Technologies (1 paper), Embedded Systems Design Techniques (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Human-Computer Interaction (50 citations), Biomedical Engineering (338 citations), Cognitive Neuroscience (122 citations), Polymers and Plastics (83 citations) and Hardware and Architecture (22 citations). Jacob Sacks has collaborated with scholars based in United States, China and Iran. Frequent co-authors include Russell Yang, Shixuan Yang, Ying‐Chen Chen, David M. Schnyer, Nanshu Lu, Daniel A. Sánchez, Pulin Wang, Dean P. Neikirk, Praveenkumar Pasupathy and Yao‐Feng Chang. Their work appears in journals such as Biophysical Journal, IEEE Transactions on Circuits & Systems II Express Briefs, Advanced Materials, arXiv (Cornell University) and 2022 International Conference on Robotics and Automation (ICRA).
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.