Jacob Sacks

799 total citations
7 papers, 477 citations indexed

About

Jacob Sacks is a scholar working on Control and Systems Engineering, Biomedical Engineering and Hardware and Architecture. According to data from OpenAlex, Jacob Sacks has authored 7 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Control and Systems Engineering, 3 papers in Biomedical Engineering and 2 papers in Hardware and Architecture. Recurrent topics in Jacob Sacks's work include Advanced Control Systems Optimization (3 papers), Machine Learning and Algorithms (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). Jacob Sacks is often cited by papers focused on Advanced Control Systems Optimization (3 papers), Machine Learning and Algorithms (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). Jacob Sacks collaborates with scholars based in United States, Iran and China. Jacob Sacks's co-authors include Yao‐Feng Chang, Praveenkumar Pasupathy, David M. Schnyer, Russell Yang, Shixuan Yang, Daniel A. Sánchez, Pulin Wang, Nanshu Lu, Dean P. Neikirk and Ying‐Chen Chen and has published in prestigious journals such as Advanced Materials, Biophysical Journal and IEEE Transactions on Circuits & Systems II Express Briefs.

In The Last Decade

Jacob Sacks

7 papers receiving 470 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jacob Sacks United States	7	337	123	118	82	64	7	477
Luca Ascari Italy	13	345 1.0×	115 0.9×	247 2.1×	37 0.5×	56 0.9×	33	592
Siyu Gao China	6	356 1.1×	203 1.7×	185 1.6×	105 1.3×	51 0.8×	35	597
Huxin Gao Hong Kong	12	527 1.6×	96 0.8×	153 1.3×	219 2.7×	57 0.9×	25	702
Senam Tamakloe United States	3	380 1.1×	190 1.5×	178 1.5×	81 1.0×	34 0.5×	5	581
Valerio F. Annese Italy	18	334 1.0×	175 1.4×	169 1.4×	34 0.4×	30 0.5×	56	735
Alisha Menon United States	6	382 1.1×	235 1.9×	182 1.5×	81 1.0×	38 0.6×	11	639
Carey Merritt United States	10	321 1.0×	164 1.3×	49 0.4×	104 1.3×	25 0.4×	14	436
Shaowei Cui China	11	210 0.6×	79 0.6×	214 1.8×	22 0.3×	41 0.6×	35	446
Hélder Carvalho Portugal	12	302 0.9×	107 0.9×	54 0.5×	171 2.1×	54 0.8×	62	565
Chunkai Qiu Australia	7	360 1.1×	130 1.1×	125 1.1×	135 1.6×	70 1.1×	11	508

Countries citing papers authored by Jacob Sacks

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jacob Sacks

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Sacks. A scholar is included among the top collaborators of Jacob Sacks 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 Jacob Sacks. Jacob Sacks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Sacks, Jacob & Byron Boots. (2022). Learning to Optimize in Model Predictive Control. 2022 International Conference on Robotics and Automation (ICRA). 10549–10556. 11 indexed citations

2.

Amos, Brandon, et al.. (2018). Differentiable MPC for End-to-end Planning and Control. arXiv (Cornell University). 31. 8289–8300. 34 indexed citations

3.

Sacks, Jacob, et al.. (2018). RoboX: An End-to-End Solution to Accelerate Autonomous Control in Robotics. 479–490. 25 indexed citations

4.

Yazdanbakhsh, Amir, Choungki Song, Jacob Sacks, et al.. (2018). In-DRAM near-data approximate acceleration for GPUs. 1–14. 24 indexed citations

5.

Liu, Xilin, Jacob Sacks, Milin Zhang, et al.. (2016). The Virtual Trackpad: An Electromyography-Based, Wireless, Real-Time, Low-Power, Embedded Hand-Gesture-Recognition System Using an Event-Driven Artificial Neural Network. IEEE Transactions on Circuits & Systems II Express Briefs. 64(11). 1257–1261. 59 indexed citations

6.

Lee, Chung‐Hao, Will Zhang, Jun Liao, et al.. (2015). On the Presence of Affine Fibril and Fiber Kinematics in the Mitral Valve Anterior Leaflet. Biophysical Journal. 108(8). 2074–2087. 51 indexed citations

7.

Yang, Shixuan, Ying‐Chen Chen, Praveenkumar Pasupathy, et al.. (2015). “Cut‐and‐Paste” Manufacture of Multiparametric Epidermal Sensor Systems. Advanced Materials. 27(41). 6423–6430. 273 indexed citations

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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