Edward Grant

80 papers receiving 1.1k citations

Peers

Edward Grant
Comparison fields: 5 of 89
  • Biomedical Engineering 392
  • Biophysics 41
  • Polymers and Plastics 73
  • Control and Systems Engineering 143
  • Electrical and Electronic Engineering 271
Replace Haojian Lu with:
Haojian Lu China
Yichen Li China
Subramanian Sundaram United States
Miao Yu United States
Tong Li China
Mehdi Boukallel France
Mohammad Jafari United States
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Edward Grant relative to Haojian Lu China Haojian Lu's profile →
Citations per field
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Haojian Lu · 1×
Citations per year

Countries citing papers authored by Edward Grant

Since Specialization
Citations

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

Fields of papers citing papers by Edward Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008124
2 200984
3 201683
4 200969
5 200751
6 201446
7 200942
8 200440
9 200838
10 200436
11 200728
12 200624
13 200624
14 200724
15 200423
16 202123
17 201922
18 200620
19 200518
20 201216

About Edward Grant

Edward Grant is a scholar working on Polymers and Plastics, Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include Textile materials and evaluations (10 papers), Evolutionary Algorithms and Applications (8 papers), Indoor and Outdoor Localization Technologies (8 papers), Nanomaterials and Printing Technologies (8 papers), Energy Efficient Wireless Sensor Networks (7 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Non-Invasive Vital Sign Monitoring (6 papers) and Piezoelectric Actuators and Control (6 papers). The work is most often cited by research in Biomedical Engineering (392 citations), Biophysics (41 citations), Polymers and Plastics (73 citations), Control and Systems Engineering (143 citations) and Electrical and Electronic Engineering (271 citations). Edward Grant has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include H. Troy Nagle, Carey R. Merritt, Thomas C. Henderson, Leonardo S. Mattos, Behnam Pourdeyhimi, Randy Thresher, Nikhil Deshpande, Jeffrey A. Yoder, Glenn M. Walker and Meghan Hegarty‐Craver. Their work appears in journals such as Journal of the Textile Institute, Robotics and Autonomous Systems, IEEE Transactions on Biomedical Engineering, Journal of Wound Care and IEEE/ASME Transactions on Mechatronics.

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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