Ryan Weiss

509 total citations
18 papers, 408 citations indexed

About

Ryan Weiss is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Ryan Weiss has authored 18 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 11 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in Ryan Weiss's work include Advanced Memory and Neural Computing (16 papers), Neuroscience and Neural Engineering (8 papers) and Photoreceptor and optogenetics research (7 papers). Ryan Weiss is often cited by papers focused on Advanced Memory and Neural Computing (16 papers), Neuroscience and Neural Engineering (8 papers) and Photoreceptor and optogenetics research (7 papers). Ryan Weiss collaborates with scholars based in United States and Canada. Ryan Weiss's co-authors include Garrett S. Rose, Joseph S. Najem, Stephen A. Sarles, C. Patrick Collier, Md Sakib Hasan, Catherine D. Schuman, Graham J. Taylor, Alex Belianinov, R. Stanley Williams and H.I. Hanafi and has published in prestigious journals such as Nature Communications, ACS Nano and The Journal of Organic Chemistry.

In The Last Decade

Ryan Weiss

18 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan Weiss United States	9	324	164	98	84	58	18	408
Kelsey Scharnhorst United States	7	256 0.8×	74 0.5×	107 1.1×	133 1.6×	25 0.4×	8	324
Siyan Lin China	7	348 1.1×	120 0.7×	70 0.7×	57 0.7×	33 0.6×	19	432
Ella Gale United Kingdom	11	320 1.0×	187 1.1×	90 0.9×	37 0.4×	65 1.1×	33	449
Jae Hyun In South Korea	9	288 0.9×	122 0.7×	51 0.5×	60 0.7×	37 0.6×	15	359
Henry O. Sillin Japan	7	527 1.6×	186 1.1×	282 2.9×	270 3.2×	39 0.7×	7	586
Audrius V. Avizienis Japan	5	469 1.4×	166 1.0×	259 2.6×	241 2.9×	32 0.6×	6	517
Stefan Wilke Germany	15	192 0.6×	73 0.4×	149 1.5×	50 0.6×	50 0.9×	23	588
Jeeson Kim South Korea	10	438 1.4×	166 1.0×	44 0.4×	48 0.6×	69 1.2×	21	520
Zhuorui Wang China	16	687 2.1×	301 1.8×	32 0.3×	62 0.7×	51 0.9×	26	800
Michihito Ueda Japan	11	361 1.1×	176 1.1×	57 0.6×	40 0.5×	83 1.4×	23	484

Countries citing papers authored by Ryan Weiss

Since Specialization

Citations

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

Fields of papers citing papers by Ryan Weiss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Weiss

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

All Works

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18 of 18 papers shown

Weiss, Ryan, et al.. (2022). A Compact Model for the Variable Switching Dynamics of HfO ₂ Memristors. 1–4. 2 indexed citations

Weiss, Ryan, et al.. (2022). STDP Based Online Learning for a Current-Controlled Memristive Synapse. 1–4. 16 indexed citations

Najem, Joseph S., et al.. (2021). Short-Term Facilitation-Then-Depression Enables Adaptive Processing of Sensory Inputs by Ion Channels in Biomolecular Synapses. ACS Applied Electronic Materials. 3(10). 4448–4458. 18 indexed citations

Alam, Shamiul, et al.. (2021). TCAD Modeling of Resistive-Switching of HfO2 Memristors: Efficient Device-Circuit Co-Design for Neuromorphic Systems. Frontiers in Nanotechnology. 3. 18 indexed citations

Najem, Joseph S., Md Sakib Hasan, R. Stanley Williams, et al.. (2019). Dynamical nonlinear memory capacitance in biomimetic membranes. Nature Communications. 10(1). 3239–3239. 81 indexed citations

Najem, Joseph S., Graham J. Taylor, Ryan Weiss, et al.. (2019). Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes. Journal of Visualized Experiments. 7 indexed citations

Beckmann, Karsten, et al.. (2019). Fabrication and Performance of Hybrid ReRAM-CMOS Circuit Elements for Dynamic Neural Networks. 1–4. 12 indexed citations

Najem, Joseph S., Graham J. Taylor, Ryan Weiss, et al.. (2018). Memristive Ion Channel-Doped Biomembranes as Synaptic Mimics. ACS Nano. 12(5). 4702–4711. 150 indexed citations

Hasan, Md Sakib, Catherine D. Schuman, Joseph S. Najem, et al.. (2018). Biomimetic, Soft-Material Synapse for Neuromorphic Computing: from Device to Network. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–6. 17 indexed citations

10.

Weiss, Ryan, Joseph S. Najem, Md Sakib Hasan, et al.. (2018). A Soft-Matter Biomolecular Memristor Synapse for Neuromorphic Systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–4. 7 indexed citations

11.

Cady, Nathaniel C., Karsten Beckmann, Ryan Weiss, et al.. (2018). Full CMOS-Memristor Implementation of a Dynamic Neuromorphic Architecture. 3 indexed citations

12.

Weiss, Ryan, et al.. (2018). A Mixed-Mode Neuron with On-chip Tunability for Generic Use in Memristive Neuromorphic Systems. 521. 441–446. 2 indexed citations

13.

Hasan, Md Sakib, Joseph S. Najem, Ryan Weiss, et al.. (2018). Response of a Memristive Biomembrane and Demonstration of Potential Use in Online Learning. 24. 1–4. 4 indexed citations

14.

Weiss, Ryan, et al.. (2017). A synchronized axon hillock neuron for memristive neuromorphic systems. 361–364. 3 indexed citations

15.

Weiss, Ryan, et al.. (2017). A mixed-signal approach to memristive neuromorphic system design. 9119. 547–550. 6 indexed citations

16.

Weiss, Ryan, et al.. (2017). Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 8(1). 125–136. 44 indexed citations

17.

Shellhamer, Dale F., et al.. (2008). Rearrangement of 3-Membered 1,1,2-Trifluorobromonium and Iodonium Ions and Comparison of Trifluorochloronium to Fluorocarbenium Ions. The Journal of Organic Chemistry. 73(12). 4532–4538. 5 indexed citations

18.

Hanafi, H.I., et al.. (1992). Design and characterization of a CMOS off-chip driver/receiver with reduced power-supply disturbance. IEEE Journal of Solid-State Circuits. 27(5). 783–791. 13 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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