Ryan Weiss

509 citations
18 papers · 408 · h-index 9

Impact in

Papers in

    • Advanced Memory and Neural Computing 16
    • Ferroelectric and Negative Capacitance Devices 5
    • CCD and CMOS Imaging Sensors 2
    • Advancements in Semiconductor Devices and Circuit Design 2
    • Radio Frequency Integrated Circuit Design 1
    • Neuroscience and Neural Engineering 8
    • Photoreceptor and optogenetics research 7

Ryan Weiss

18 papers receiving 398 citations

Peers

Ryan Weiss
Comparison fields: 5 of 41
  • Cellular and Molecular Neuroscience 164
  • Electrical and Electronic Engineering 324
  • Cognitive Neuroscience 98
  • Artificial Intelligence 84
  • Polymers and Plastics 25
Replace Henry O. Sillin with:
Henry O. Sillin Japan
Rohit Soni Germany
Audrius V. Avizienis Japan
Ella Gale United Kingdom
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Citations per field
00.5×
Henry O. Sillin · 1×
Citations per year

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-authors

The 23 scholars most cited alongside Ryan Weiss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ryan Weiss Line = papers co-authored together Ryan Weiss links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2018150
2 201981
3 201744
4 202118
5 202118
6 201817
7 202216
8 199213
9 201912
10 20197
11 20187
12 20176
13 20085
14 20184
15 20173
16
Full CMOS-Memristor Implementation of a Dynamic Neuromorphic Architecture
20183
17 20222
18 20182

About Ryan Weiss

Ryan Weiss is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Pharmaceutical Science and Artificial Intelligence, having authored 18 papers that have together received 408 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (16 papers), Neuroscience and Neural Engineering (8 papers), Photoreceptor and optogenetics research (7 papers), Neural dynamics and brain function (6 papers), Ferroelectric and Negative Capacitance Devices (5 papers), CCD and CMOS Imaging Sensors (2 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers) and Radio Frequency Integrated Circuit Design (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (164 citations), Electrical and Electronic Engineering (324 citations), Cognitive Neuroscience (98 citations), Artificial Intelligence (84 citations) and Polymers and Plastics (25 citations). Ryan Weiss has collaborated with scholars based in United States and Canada. Frequent co-authors include Garrett S. Rose, Stephen A. Sarles, Joseph S. Najem, Md Sakib Hasan, C. Patrick Collier, Catherine D. Schuman, Graham J. Taylor, Alex Belianinov, R. Stanley Williams and H.I. Hanafi. Their work appears in journals such as ACS Applied Electronic Materials, IEEE Journal of Solid-State Circuits, Nature Communications, ACS Nano and The Journal of Organic Chemistry.

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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