Lucia Seminara
- Cognitive Neuroscience top 5%
- Tactile and Sensory Interactions 29
- EEG and Brain-Computer Interfaces 9
- Computational Mathematics top 10%
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology 3
- Biomedical Engineering top 5%
- Advanced Sensor and Energy Harvesting Materials 28
- Muscle activation and electromyography studies 9
- Polymers and Plastics top 10%
- Conducting polymers and applications 3
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- Neuroscience and Neural Engineering 5
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- Robot Manipulation and Learning 4
- Co-authors
- Maurizio ValleLuigi PinnaM. CapurroPaolo GastaldoGiorgio CannataStrahinja DošenPiero CossedduAnnalisa Bonfiglio
- Journals
- Sensors (3 papers)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Sensors and Actuators A Physical (1 paper)
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
Lucia Seminara
36 papers receiving 792 citations
Peers
Comparison fields: 5 of 78
- Cognitive Neuroscience 419
- Computational Mathematics 9
- Human-Computer Interaction 81
- Biomedical Engineering 600
- Polymers and Plastics 105
Countries citing papers authored by Lucia Seminara
This map shows the geographic impact of Lucia Seminara'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 Lucia Seminara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucia Seminara more than expected).
Fields of papers citing papers by Lucia Seminara
This network shows the impact of papers produced by Lucia Seminara. 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 Lucia Seminara. The network helps show where Lucia Seminara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lucia Seminara, 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 | 2025 | 0 | |
| 2 | 2023 | 22 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 11 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 5 | |
| 7 | 2020 | 9 | |
| 8 | 2019 | 15 | |
| 9 | 2019 | 50 | |
| 10 | 2018 | 8 | |
| 11 | 2018 | 2 | |
| 12 | 2017 | 10 | |
| 13 | 2017 | 11 | |
| 14 | 2015 | 11 | |
| 15 | 2014 | 21 | |
| 16 | 2014 | 27 | |
| 17 | 2014 | 9 | |
| 18 | 2014 | 21 | |
| 19 | 2013 | 106 | |
| 20 | 2004 | 23 |
About Lucia Seminara
Lucia Seminara is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Biomedical Engineering, having authored 39 papers that have together received 807 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (29 papers), Advanced Sensor and Energy Harvesting Materials (28 papers), EEG and Brain-Computer Interfaces (9 papers), Muscle activation and electromyography studies (9 papers), Neuroscience and Neural Engineering (5 papers), Robot Manipulation and Learning (4 papers), Conducting polymers and applications (3 papers) and Gaze Tracking and Assistive Technology (3 papers). The work is most often cited by research in Cognitive Neuroscience (419 citations), Computational Mathematics (9 citations) and Human-Computer Interaction (81 citations). Lucia Seminara has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Maurizio Valle, Luigi Pinna, M. Capurro, Paolo Gastaldo, Giorgio Cannata, Strahinja Došen, Piero Cosseddu, Annalisa Bonfiglio, Dario Farina and Rodolfo Zunino. Their work appears in journals such as Sensors, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Sensors and Actuators A Physical.
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.