Amanda Singer

939 citations
12 papers · 666 indexed · 1 hit paper · h-index 10

Impact in

Papers in

Amanda Singer

12 papers receiving 650 citations

Hit Papers

A wireless millimetric magnetoelectric implant for the endovascular stimulation of peripheral nerves 2022 · 163 citations
163202220262023202450100150

Peers

Amanda Singer
Comparison fields: 5 of 50
  • Cellular and Molecular Neuroscience 328
  • Biomedical Engineering 365
  • Electrical and Electronic Engineering 337
  • Cognitive Neuroscience 100
  • Neurology 42
Replace Zhanghao Yu with:
Zhanghao Yu United States
Joshua Chen United States
David K. Piech United States
Mohammad Meraj Ghanbari United States
Joonsoo Jeong South Korea
Chun-Ju Su China
Hongming Lyu China
Benjamin Grena United States
Benjamin C. Johnson United States
David Arreaga‐Salas United States
Amanda Singer relative to Zhanghao Yu United States Zhanghao Yu's profile →
Citations per field
00.5×1.5×1.8×
Zhanghao Yu · 1×
Citations per year

Countries citing papers authored by Amanda Singer

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amanda Singer, 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 Amanda Singer Line = papers co-authored together Amanda Singer links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
A wireless millimetric magnetoelectric implant for the endovascular stimulation of peripheral nerves
Hit paper breakdown →
2022163
2 2020138
3 2021105
4 2020101
5 202143
6 202128
7 202125
8 202318
9 202016
10 202412
11 20229
12 20218

About Amanda Singer

Amanda Singer is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Polymers and Plastics, Biomedical Engineering and Neurology, having authored 12 papers that have together received 666 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (8 papers), Wireless Power Transfer Systems (8 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Energy Harvesting in Wireless Networks (4 papers), Advanced Memory and Neural Computing (3 papers), Perovskite Materials and Applications (2 papers), Conducting polymers and applications (2 papers) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (328 citations), Biomedical Engineering (365 citations), Electrical and Electronic Engineering (337 citations), Cognitive Neuroscience (100 citations) and Neurology (42 citations). Amanda Singer has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jacob T. Robinson, Joshua Chen, Kaiyuan Yang, Fatima Alrashdan, Zhanghao Yu, Benjamin W. Avants, John J. O’Malley, Michael Beierlein, Ziying Chen and Nishant Verma. Their work appears in journals such as Neuron, Nature Biomedical Engineering, IEEE Journal of Solid-State Circuits, Materials Today and Journal of Neural Engineering.

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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