Fred Burghardt
Impact in
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Tactile and Sensory Interactions
Papers in
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- Ferroelectric and Negative Capacitance Devices 4
- Wireless Power Transfer Systems 2
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- Cooperative Communication and Network Coding 2
- Wireless Networks and Protocols 2
- Co-authors
- Jan M. Rabaey (9 shared papers)Ali Moin (6 shared papers)Andy Zhou (6 shared papers)George Alexandrov (5 shared papers)Ana Claudia Arias (5 shared papers)Jonathan Ting (4 shared papers)Senam Tamakloe (4 shared papers)Abbas Rahimi (4 shared papers)
- Journals
- Nature Biomedical Engineering (1 paper)Smart Materials and Structures (1 paper)Nature Electronics (1 paper)arXiv (Cornell University) (2 papers)IRIS UNIMORE (University of Modena and Reggio Emilia) (1 paper)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Fred Burghardt
11 papers receiving 830 citations
Fred Burghardt's Hit Papers
Peers
Comparison fields: 5 of 74
- Human-Computer Interaction 147
- Cognitive Neuroscience 268
- Biomedical Engineering 486
- Cellular and Molecular Neuroscience 189
- Polymers and Plastics 86
Countries citing papers authored by Fred Burghardt
This map shows the geographic impact of Fred Burghardt'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 Fred Burghardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Burghardt more than expected).
Fields of papers citing papers by Fred Burghardt
This network shows the impact of papers produced by Fred Burghardt. 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 Fred Burghardt. The network helps show where Fred Burghardt may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred Burghardt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition Hit paper breakdown → | 2020 | 502 |
| 2 | 2018 | 163 | |
| 3 | 2018 | 75 | |
| 4 | 2011 | 52 | |
| 5 | 2008 | 27 | |
| 6 | Connectivity Brokerage — Enabling Seamless Cooperation in Wireless Networks | 2010 | 9 |
| 7 | 2016 | 8 | |
| 8 | 2019 | 8 | |
| 9 | Adaptive EMG-based hand gesture recognition using hyperdimensional computing. | 2019 | 3 |
| 10 | 2010 | 3 | |
| 11 | A wearable electromyography-based hand gesture recognition system with real-time on-board incremental learning and classification | 2019 | 1 |
| 12 | 2011 | 0 |
About Fred Burghardt
Fred Burghardt is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering, having authored 12 papers that have together received 851 indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (4 papers), Neuroscience and Neural Engineering (3 papers), EEG and Brain-Computer Interfaces (3 papers), Gaze Tracking and Assistive Technology (2 papers), Innovative Energy Harvesting Technologies (2 papers), Cooperative Communication and Network Coding (2 papers), Wireless Power Transfer Systems (2 papers) and Wireless Networks and Protocols (2 papers). The work is most often cited by research in Human-Computer Interaction (147 citations), Cognitive Neuroscience (268 citations), Biomedical Engineering (486 citations), Cellular and Molecular Neuroscience (189 citations) and Polymers and Plastics (86 citations). Fred Burghardt has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Jan M. Rabaey, Ali Moin, Andy Zhou, George Alexandrov, Ana Claudia Arias, Jonathan Ting, Senam Tamakloe, Abbas Rahimi, Yasser Khan and Luca Benini. Their work appears in journals such as Nature Biomedical Engineering, Smart Materials and Structures, Nature Electronics, arXiv (Cornell University) and IRIS UNIMORE (University of Modena and Reggio Emilia).
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.