Grant Ellis

509 citations
30 papers · 388 · h-index 9

Impact in

Papers in

Grant Ellis

26 papers receiving 367 citations

Peers

Grant Ellis
Comparison fields: 5 of 71
  • Metals and Alloys 22
  • Human-Computer Interaction 34
  • Condensed Matter Physics 51
  • Modeling and Simulation 15
  • Computer Vision and Pattern Recognition 65
Replace Guowei Han with:
Guowei Han China
Tomoya Ishikawa Japan
Feng Zheng United States
Takashi Sasaki Japan
Nicholas Farrow United States
Sang-Hyun Lee South Korea
Yuan-Chen Guo China
J. Frankel United States
Kaixin Liu China
Chih‐Hung Chen Canada
Grant Ellis relative to Guowei Han China Guowei Han's profile →
Citations per field
00.5×10×15×
Guowei Han · 1×
Citations per year

Countries citing papers authored by Grant Ellis

Since Specialization
Citations

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

Fields of papers citing papers by Grant Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002101
2 200867
3 200456
4 202222
5 199519
6 199718
7 202015
8 202512
9 200611
10 20038
11 20218
12 20066
13 19925
14 20044
15 20254
16 20154
17 20034
18 20024
19 20104
20 20253

About Grant Ellis

Grant Ellis is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 30 papers that have together received 388 indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (6 papers), Mechanical and Optical Resonators (6 papers), Microwave Engineering and Waveguides (5 papers), Geophysical Methods and Applications (3 papers), Advanced Power Amplifier Design (3 papers), Electromagnetic Compatibility and Noise Suppression (3 papers), Advanced MEMS and NEMS Technologies (3 papers) and Virtual Reality Applications and Impacts (2 papers). The work is most often cited by research in Metals and Alloys (22 citations), Human-Computer Interaction (34 citations), Condensed Matter Physics (51 citations), Modeling and Simulation (15 citations) and Computer Vision and Pattern Recognition (65 citations). Grant Ellis has collaborated with scholars based in Kazakhstan, United States and Malaysia. Frequent co-authors include Simo O. Pehkonen, Xiaohui Zhang, Nikolai Kocherginsky, Md Shohel Sayeed, Nidal Kamel, Piotr Skrzypacz, Ji‐Huan He, Alan Chalmers, A. Kurdoghlian and Ming Hu. Their work appears in journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing, Journal of Sound and Vibration, Mathematical Methods in the Applied Sciences and IEEE Transactions on Antennas and Propagation.

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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