Alexander Friz

1.1k total citations
28 papers, 659 citations indexed

About

Alexander Friz is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Alexander Friz has authored 28 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 11 papers in Materials Chemistry and 4 papers in Artificial Intelligence. Recurrent topics in Alexander Friz's work include Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and Advancements in Photolithography Techniques (7 papers). Alexander Friz is often cited by papers focused on Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and Advancements in Photolithography Techniques (7 papers). Alexander Friz collaborates with scholars based in United States, Switzerland and Japan. Alexander Friz's co-authors include Rod Balhorn, Graham Bench, D.H. Morse, Michele Corzett, William D. Hinsberg, Stefan Harrer, Hoa D. Truong, Matthew Colburn, Joy Cheng and Daniel P. Sanders and has published in prestigious journals such as Nature Communications, ACS Nano and ACS Applied Materials & Interfaces.

In The Last Decade

Alexander Friz

28 papers receiving 637 citations

Peers

Alexander Friz

EEE

Mariano Gioffrè Italy

Kyuha Chung South Korea

Dimitar Dimitrov United States

Anqi Hu China

Ada‐Ioana Bunea Denmark

S. Ali Aghvami United States

Benyamin Davaji United States

Jeong Oen Lee South Korea

Haoyang Sun China

Christina Ting United States

Mariano Gioffrè Italy

Alexander Friz

340 ×0.9

EEE

159 ×0.6

262 ×2.3

13 ×0.2

49 ×0.7

Citations per year, relative to Alexander Friz Alexander Friz (= 1×) peers Mariano Gioffrè

Countries citing papers authored by Alexander Friz

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Friz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Friz

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ambrogio, Stefano, Pritish Narayanan, Charles Mackin, et al.. (2025). Demonstration of transformer-based ALBERT model on a 14nm analog AI inference chip. Nature Communications. 16(1). 8661–8661. 1 indexed citations

Chen, An, Stefano Ambrogio, Pritish Narayanan, et al.. (2024). (Invited) Emerging Nonvolatile Memories for Analog Neuromorphic Computing. ECS Meeting Abstracts. MA2024-01(21). 1293–1293. 1 indexed citations

Mackin, Charles, Malte J. Rasch, An Chen, et al.. (2022). Optimised weight programming for analogue memory-based deep neural networks. Nature Communications. 13(1). 3765–3765. 34 indexed citations

Narayanan, Pritish, Stefano Ambrogio, Kohji Hosokawa, et al.. (2022). Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers. 2022 IEEE International Symposium on Circuits and Systems (ISCAS). 3319–3323. 4 indexed citations

Tsai, Hsinyu, An Chen, Malte J. Rasch, et al.. (2021). Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices. Frontiers in Computational Neuroscience. 15. 675741–675741. 16 indexed citations

Spanu, Andrea, Pasqualina Farisello, Alexander Friz, et al.. (2020). A three-dimensional micro-electrode array for in-vitro neuronal interfacing. Journal of Neural Engineering. 17(3). 36033–36033. 27 indexed citations

Mackin, Charles, Pritish Narayanan, Stefano Ambrogio, et al.. (2020). Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges. 1–10. 4 indexed citations

Arellano, Noel, Nicholas A. Lanzillo, S. Nguyen, et al.. (2020). Surface Initiated Polymer Thin Films for the Area Selective Deposition and Etching of Metal Oxides. ACS Nano. 14(4). 4276–4288. 28 indexed citations

Ambrogio, Stefano, Pritish Narayanan, Hsinyu Tsai, et al.. (2020). Inference of Deep Neural Networks with Analog Memory Devices. 29. 119–120. 1 indexed citations

10.

Chen, An, Stefano Ambrogio, Pritish Narayanan, et al.. (2020). Enabling High-Performance DNN Inference Accelerators Using Non-Volatile Analog Memory (Invited). 1–4. 5 indexed citations

11.

Ambrogio, Stefano, Pritish Narayanan, Hsinyu Tsai, et al.. (2020). Accelerating Deep Neural Networks with Analog Memory Devices. 29 5. 149–152. 5 indexed citations

12.

Ambrogio, Stefano, Pritish Narayanan, Hsinyu Tsai, et al.. (2020). Accelerating Deep Neural Networks with Analog Memory Devices. 1–4. 4 indexed citations

13.

Spanu, Andrea, et al.. (2019). Growing Patterned, Cross-linked Nanoscale Polymer Films from Organic and Inorganic Surfaces Using Ring-Opening Metathesis Polymerization. ACS Applied Materials & Interfaces. 12(3). 4041–4051. 16 indexed citations

14.

Wojtecki, Rudy J., et al.. (2018). Reactive Monolayers in Directed Additive Manufacturing - Area Selective Atomic Layer Deposition. Journal of Photopolymer Science and Technology. 31(3). 431–436. 2 indexed citations

15.

Wood, Obert R., Daniel Corliss, Eelco van Setten, et al.. (2013). Enhancing resolution with pupil filtering for projection printing systems with fixed or restricted illumination angular distribution. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8679. 86792N–86792N. 4 indexed citations

16.

Cheng, Joy, Daniel P. Sanders, Hoa D. Truong, et al.. (2010). Simple and Versatile Methods To Integrate Directed Self-Assembly with Optical Lithography Using a Polarity-Switched Photoresist. ACS Nano. 4(8). 4815–4823. 192 indexed citations

17.

Sundberg, Linda K., G. M. Wallraff, Alexander Friz, et al.. (2010). Two complementary methods to characterize long range proximity effects due to develop loading. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7823. 78230G–78230G. 3 indexed citations

18.

Friz, Alexander, et al.. (2002). Collinearity and stitching performance on an ASML stepper. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4688. 858–858. 8 indexed citations

19.

Bench, Graham, Alexander Friz, Michele Corzett, D.H. Morse, & Rod Balhorn. (1996). DNA and total protamine masses in individual sperm from fertile mammalian subjects. Cytometry. 23(4). 263–271. 131 indexed citations

20.

Bench, Graham, Rod Balhorn, & Alexander Friz. (1995). Nuclear microscopy of sperm cell elemental structure. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 99(1-4). 553–556. 8 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.

Explore authors with similar magnitude of impact