Jennifer Hasler

2.1k total citations
103 papers, 1.5k citations indexed

About

Jennifer Hasler is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Jennifer Hasler has authored 103 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Electrical and Electronic Engineering, 47 papers in Biomedical Engineering and 23 papers in Artificial Intelligence. Recurrent topics in Jennifer Hasler's work include Advanced Memory and Neural Computing (42 papers), Analog and Mixed-Signal Circuit Design (42 papers) and Low-power high-performance VLSI design (19 papers). Jennifer Hasler is often cited by papers focused on Advanced Memory and Neural Computing (42 papers), Analog and Mixed-Signal Circuit Design (42 papers) and Low-power high-performance VLSI design (19 papers). Jennifer Hasler collaborates with scholars based in United States, Türkiye and Finland. Jennifer Hasler's co-authors include Bo Marr, Sahil Shah, Suma George, Shubha Ramakrishnan, Michelle Collins, Richard Wunderlich, F. Levent Degertekin, Scott Koziol, Stephen Nease and Coşkun Tekeş and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Proceedings of the IEEE.

In The Last Decade

Jennifer Hasler

101 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Hasler United States 19 1.1k 562 362 231 217 103 1.5k
Chih-Cheng Hsieh Taiwan 29 3.2k 2.8× 888 1.6× 393 1.1× 70 0.3× 462 2.1× 138 3.4k
Joachim Becker Germany 18 728 0.6× 600 1.1× 71 0.2× 153 0.7× 336 1.5× 86 1.0k
Arindam Sanyal United States 18 958 0.8× 778 1.4× 125 0.3× 81 0.4× 123 0.6× 94 1.2k
Hen‐Wai Tsao Taiwan 24 1.6k 1.4× 1.2k 2.1× 149 0.4× 144 0.6× 297 1.4× 193 2.1k
Chua‐Chin Wang Taiwan 22 1.6k 1.4× 690 1.2× 136 0.4× 48 0.2× 164 0.8× 318 2.1k
Linxiao Shen China 22 1.3k 1.1× 933 1.7× 137 0.4× 95 0.4× 182 0.8× 76 1.6k
Tony Tae-Hyoung Kim Singapore 22 1.5k 1.3× 265 0.5× 186 0.5× 90 0.4× 113 0.5× 154 1.7k
Mingoo Seok United States 34 3.7k 3.2× 1.3k 2.3× 481 1.3× 128 0.6× 236 1.1× 186 4.2k
Kong‐Pang Pun Hong Kong 21 1.2k 1.0× 932 1.7× 164 0.5× 31 0.1× 103 0.5× 168 1.8k
Chia‐Hsiang Yang Taiwan 19 713 0.6× 267 0.5× 157 0.4× 255 1.1× 243 1.1× 113 1.2k

Countries citing papers authored by Jennifer Hasler

Since Specialization
Citations

This map shows the geographic impact of Jennifer Hasler'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 Jennifer Hasler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Hasler more than expected).

Fields of papers citing papers by Jennifer Hasler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Hasler. 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 Jennifer Hasler. The network helps show where Jennifer Hasler may publish in the future.

Co-authorship network of co-authors of Jennifer Hasler

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Hasler. A scholar is included among the top collaborators of Jennifer Hasler 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 Jennifer Hasler. Jennifer Hasler 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
1.
Hasler, Jennifer, et al.. (2025). A Six-Transistor Integrate-and-Fire Neuron Enabling Chaotic Dynamics. IEEE Transactions on Biomedical Circuits and Systems. 19(5). 1005–1017. 1 indexed citations
2.
Barton, Kira, et al.. (2025). Modular HfOx-RRAM for On-Demand Micromodular Electronics. IEEE Electron Device Letters. 46(7). 1099–1102. 1 indexed citations
3.
Hasler, Jennifer, et al.. (2024). Hopfield vs Ising: A Comparison on the SoC FPAA. IEEE Transactions on Circuits and Systems I Regular Papers. 71(9). 3999–4008. 3 indexed citations
4.
Hasler, Jennifer, et al.. (2024). Extrema-Triggered Conversion for Non-Stationary Signal Acquisition in Wireless Sensor Nodes. Journal of Low Power Electronics and Applications. 14(1). 11–11. 2 indexed citations
5.
Hasler, Jennifer, et al.. (2024). A 130nm CMOS Programmable Analog Standard Cell Library. IEEE Transactions on Circuits and Systems I Regular Papers. 71(6). 2497–2510. 6 indexed citations
6.
Hasler, Jennifer, et al.. (2024). A 65 nm CMOS Analog Programmable Standard Cell Library for Mixed-Signal Computing. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 32(10). 1830–1840. 3 indexed citations
7.
Hasler, Jennifer, et al.. (2024). A Programmable and Reconfigurable CMOS Analog Hopfield Network for NP-Hard Problems. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 33(3). 821–830.
8.
Hasler, Jennifer & Arindam Basu. (2024). Historical perspective and opportunity for computing in memory using floating-gate and resistive non-volatile computing including neuromorphic computing. SHILAP Revista de lepidopterología. 5(1). 12001–12001. 2 indexed citations
9.
Hasler, Jennifer. (2024). Energy-Efficient Programable Analog Computing: Analog computing in a standard CMOS process. IEEE Solid-State Circuits Magazine. 16(4). 32–40. 3 indexed citations
10.
Hasler, Jennifer, et al.. (2023). Towards Scalable Digital Modeling of Networks of Biorealistic Silicon Neurons. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 13(4). 927–939. 3 indexed citations
11.
Hasler, Jennifer, et al.. (2023). Extrema-Triggered Analog-Digital Conversion for Low-Power Wireless Sensor Nodes. 486–490. 1 indexed citations
12.
Hasler, Jennifer, et al.. (2023). Toward Biorealistic Silicon Neural Circuits on Reconfigurable Platforms. 449–453. 1 indexed citations
13.
Shah, Sahil, et al.. (2021). CAD synthesis tools for floating-gate SoC FPAAs. Design Automation for Embedded Systems. 25(3). 161–176. 11 indexed citations
14.
Barrio, Alberto A. Del, et al.. (2021). A Cluster of FPAAs to Recognize Images Using Neural Networks. IEEE Transactions on Circuits & Systems II Express Briefs. 68(11). 3391–3395. 4 indexed citations
15.
Shah, Sahil, et al.. (2017). Calibration of Floating-Gate SoC FPAA System. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 25(9). 2649–2657. 25 indexed citations
16.
Koziol, Scott, Richard Wunderlich, Jennifer Hasler, & Mike Stilman. (2016). Single-Objective Path Planning for Autonomous Robots Using Reconfigurable Analog VLSI. IEEE Transactions on Systems Man and Cybernetics Systems. 47(7). 1301–1314. 12 indexed citations
17.
Degnan, Brian & Jennifer Hasler. (2016). On the temperature dependence of subthreshold currents in MOS electron inversion layers, revisited. 2074–2077. 3 indexed citations
18.
Zhu, Mengchen, et al.. (2014). OPTIMAL SPARSE APPROXIMATION WITH INTEGRATE AND FIRE NEURONS. International Journal of Neural Systems. 24(5). 1440001–1440001. 38 indexed citations
19.
Marr, Bo & Jennifer Hasler. (2014). Compiling probabilistic, bio-inspired circuits on a field programmable analog array. Frontiers in Neuroscience. 8. 86–86. 5 indexed citations
20.
Hasler, Jennifer & Bo Marr. (2013). Finding a roadmap to achieve large neuromorphic hardware systems. Frontiers in Neuroscience. 7. 118–118. 288 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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