Aya Amer

691 citations
6 papers · 529 · 1 hit paper · h-index 3

Impact in

    • Carbon Nanotubes in Composites
    • Graphene research and applications
    • 2D Materials and Applications
    • Advancements in Semiconductor Devices and Circuit Design
    • Advanced Memory and Neural Computing
    • Low-power high-performance VLSI design
    • Semiconductor materials and devices

Papers in

Aya Amer

4 papers receiving 519 citations

Aya Amer's Hit Papers

Modern microprocessor built from complementary carbon nanotube transistors 2019 · 518 citations
5180+2+4Years since publication100200300400500

Peers

Aya Amer
Comparison fields: 5 of 56
  • Materials Chemistry 315
  • Electrical and Electronic Engineering 286
  • Biomedical Engineering 154
  • Polymers and Plastics 30
  • Hardware and Architecture 14
Replace Pritpal S. Kanhaiya with:
Pritpal S. Kanhaiya United States
Mindy D. Bishop United States
Rich Liu Taiwan
Jixuan Wu China
Kai‐Shin Li Taiwan
Soo Youn Kim South Korea
Manoj Kumar Majumder India
Kristen N. Parrish United States
Sheng-Chih Lai Taiwan
Chao-Ching Cheng Taiwan
Aya Amer relative to Pritpal S. Kanhaiya United States Pritpal S. Kanhaiya's profile →
Citations per field
00.5×1.5×
Pritpal S. Kanhaiya · 1×
Citations per year

Countries citing papers authored by Aya Amer

Since Specialization
Citations

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

Fields of papers citing papers by Aya Amer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Aya Amer, 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 Aya Amer Line = papers co-authored together Aya Amer links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Aya Amer

Aya Amer is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Dermatology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 529 indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (2 papers), Metabolism and Genetic Disorders (1 paper), Diet, Metabolism, and Disease (1 paper), Analog and Mixed-Signal Circuit Design (1 paper), Blood groups and transfusion (1 paper), Cardiac Arrhythmias and Treatments (1 paper), Graphene research and applications (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Materials Chemistry (315 citations), Electrical and Electronic Engineering (286 citations), Biomedical Engineering (154 citations), Polymers and Plastics (30 citations) and Hardware and Architecture (14 citations). Aya Amer has collaborated with scholars based in New Zealand, United States and Egypt. Frequent co-authors include C.L. Lau, Pritpal S. Kanhaiya, Anantha P. Chandrakasan, Gage Hills, Samuel H. Fuller, Max M. Shulaker, Andrew Wright, Rebecca Ho, Tathagata Srimani and Mindy D. Bishop. Their work appears in journals such as Nature, JIMD Reports, Case Reports in Medicine and Benha Veterinary Medical Journal.

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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