Luca Scimeca
- Cellular and Molecular Neuroscience top 10%
- Biomedical Engineering
- Cognitive Neuroscience top 10%
- Genetics
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Fumiya IidaPerla MaiolinoNicolai Ben WeddigWilliam T. WcisloThomas StoneAndrea AddenRachel TemplinBarbara Webb
- Topics
- Tactile and Sensory Interactions (9 papers)Advanced Sensor and Energy Harvesting Materials (7 papers)Robot Manipulation and Learning (6 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceEcology, Evolution, Behavior and Systematics
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Luca Scimeca
17 papers receiving 452 citations
Peers
Comparison fields: 5 of 76
- Cellular and Molecular Neuroscience 180
- Biomedical Engineering 161
- Cognitive Neuroscience 138
- Genetics 115
- Ecology, Evolution, Behavior and Systematics 91
Countries citing papers authored by Luca Scimeca
This map shows the geographic impact of Luca Scimeca'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 Luca Scimeca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Scimeca more than expected).
Fields of papers citing papers by Luca Scimeca
This network shows the impact of papers produced by Luca Scimeca. 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 Luca Scimeca. The network helps show where Luca Scimeca may publish in the future.
Co-authorship network of co-authors of Luca Scimeca
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Scimeca. A scholar is included among the top collaborators of Luca Scimeca based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luca Scimeca. Luca Scimeca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 15 | |
| 5 | 2 | |
| 6 | 20 | |
| 7 | 8 | |
| 8 | 8 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | 18 | |
| 12 | 10 | |
| 13 | 21 | |
| 14 | 42 | |
| 15 | 27 | |
| 16 | 15 | |
| 17 | 18 | |
| 18 | 11 | |
| 19 | 223 |
About Luca Scimeca
Luca Scimeca is a scholar working on Cognitive Neuroscience, Control and Systems Engineering and Biomedical Engineering, having authored 19 papers that have together received 460 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (9 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Robot Manipulation and Learning (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (180 citations), Cognitive Neuroscience (138 citations) and Ecology, Evolution, Behavior and Systematics (91 citations). Luca Scimeca has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Fumiya Iida, Perla Maiolino, Nicolai Ben Weddig, William T. Wcislo, Thomas Stone, Andrea Adden, Rachel Templin, Barbara Webb, Anna Honkanen and Stanley Heinze. Their work appears in journals such as PLoS ONE, Advanced Functional Materials and Current Biology.
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.