Michael McKnight

444 citations
19 papers · 317 · h-index 9

Impact in

Papers in

Michael McKnight

19 papers receiving 308 citations

Peers

Michael McKnight
Comparison fields: 5 of 78
  • Human-Computer Interaction 32
  • Biomedical Engineering 216
  • Bioengineering 18
  • Polymers and Plastics 43
  • Cognitive Neuroscience 52
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Subin Jo South Korea
Pratyush Rai United States
Erik Vavrinský Slovakia
Asma Channa Romania
Mary Ann Leavitt United States
Carey Merritt United States
P.M. Schmitt France
Amir Servati Canada
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Kaan Sel United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael McKnight

Since Specialization
Citations

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

Fields of papers citing papers by Michael McKnight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Michael McKnight, 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 Michael McKnight Line = papers co-authored together Michael McKnight links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2016149
2 201829
3 202024
4 201616
5 201616
6 201715
7 201810
8 20019
9 20208
10 20158
11 20157
12 20186
13 20165
14 20165
15 20143
16 20133
17 20142
18 20141
19
Unwritten, The Story of a Living System: A Pathway to Enlivening and Transforming Education
20161

About Michael McKnight

Michael McKnight is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Polymers and Plastics, Cellular and Molecular Neuroscience and Genetics, having authored 19 papers that have together received 317 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (12 papers), Tactile and Sensory Interactions (7 papers), Neurobiology and Insect Physiology Research (4 papers), Conducting polymers and applications (3 papers), Biomimetic flight and propulsion mechanisms (3 papers), Textile materials and evaluations (2 papers), Muscle activation and electromyography studies (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Human-Computer Interaction (32 citations), Biomedical Engineering (216 citations), Bioengineering (18 citations), Polymers and Plastics (43 citations) and Cognitive Neuroscience (52 citations). Michael McKnight has collaborated with scholars based in United States. Frequent co-authors include Alper Bozkurt, Tushar K. Ghosh, Talha Agcayazi, Feiyan Lin, Shanshan Yao, James Dieffenderfer, Yong Zhu, Brinnae Bent, Bongmook Lee and Veena Misra. Their work appears in journals such as Advanced Materials Technologies, Journal of Visualized Experiments, IEEE Sensors Journal, PLoS ONE and IEEE Journal of Biomedical and Health Informatics.

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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