Tucker Stuart

584 citations
13 papers · 389 indexed · h-index 9

Impact in

Papers in

Tucker Stuart

11 papers receiving 382 citations

Peers

Tucker Stuart
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 143
  • Biomedical Engineering 244
  • Human-Computer Interaction 20
  • Cognitive Neuroscience 67
  • Polymers and Plastics 39
Replace Alex Burton with:
Alex Burton United States
Yong Won Kwon South Korea
Hayoung Song South Korea
Roberto Peralta United States
Xiaoyan Shen China
Yong Ho Kwon South Korea
Tie Liang China
Joshua Chen United States
Chang‐Yeop Jeon South Korea
Philipp Schönle Switzerland
Tucker Stuart relative to Alex Burton United States Alex Burton's profile →
Citations per field
00.5×1.5×
Alex Burton · 1×
Citations per year

Countries citing papers authored by Tucker Stuart

Since Specialization
Citations

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

Fields of papers citing papers by Tucker Stuart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202088
2 202274
3 202157
4 202157
5 202136
6 202429
7 202115
8 202313
9 20239
10 20236
11 20245
12 20240
13 20250

About Tucker Stuart

Tucker Stuart is a scholar working on Human-Computer Interaction, Cellular and Molecular Neuroscience, Biomedical Engineering, Electrical and Electronic Engineering and Neurology, having authored 13 papers that have together received 389 indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (5 papers), Neuroscience and Neural Engineering (4 papers), Wireless Body Area Networks (4 papers), Photoreceptor and optogenetics research (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Antenna Design and Analysis (2 papers), Green IT and Sustainability (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (143 citations), Biomedical Engineering (244 citations), Human-Computer Interaction (20 citations), Cognitive Neuroscience (67 citations) and Polymers and Plastics (39 citations). Tucker Stuart has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Philipp Gutruf, Jessica Hanna, Alex Burton, Le Cai, John A. Rogers, Luyao Lu, Emily A. Waters, A. K. Bhatia, Irawati Kandela and Chad R. Haney. Their work appears in journals such as Biosensors and Bioelectronics, Proceedings of the National Academy of Sciences, ACS Sensors, APL Bioengineering and Nature Communications.

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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