Elena Valderrama
- Cellular and Molecular Neuroscience top 5%
- Biomedical Engineering top 10%
- Cognitive Neuroscience top 10%
- Electrical and Electronic Engineering
- Polymers and Plastics top 10%
- Co-authors
- Xavier NavarroThomas StieglitzDolores CeballosAntoni Valero‐CabréRoméo OrtegaNikita BarabanovG. EscobarMiquel Butı́
- Topics
- Neuroscience and Neural Engineering (13 papers)Advanced Memory and Neural Computing (6 papers)Neural Networks and Applications (6 papers)
In The Last Decade
Elena Valderrama
23 papers receiving 596 citations
Peers
Comparison fields: 5 of 66
- Cellular and Molecular Neuroscience 424
- Biomedical Engineering 323
- Cognitive Neuroscience 153
- Electrical and Electronic Engineering 145
- Polymers and Plastics 111
Countries citing papers authored by Elena Valderrama
This map shows the geographic impact of Elena Valderrama'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 Elena Valderrama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Valderrama more than expected).
Fields of papers citing papers by Elena Valderrama
This network shows the impact of papers produced by Elena Valderrama. 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 Elena Valderrama. The network helps show where Elena Valderrama may publish in the future.
Co-authorship network of co-authors of Elena Valderrama
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Valderrama. A scholar is included among the top collaborators of Elena Valderrama 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 Elena Valderrama. Elena Valderrama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 22 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 2 | |
| 10 | 47 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 164 | |
| 15 | Stimulation and recording from regenerated peripheral nerves through polyimide sieve electrodes. | 79 |
| 16 | 13 | |
| 17 | 36 | |
| 18 | 12 | |
| 19 | 10 | |
| 20 | 2 |
About Elena Valderrama
Elena Valderrama is a scholar working on Cellular and Molecular Neuroscience, Computer Science Applications and Media Technology, having authored 27 papers that have together received 616 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (13 papers), Advanced Memory and Neural Computing (6 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (424 citations), Polymers and Plastics (111 citations) and Cognitive Neuroscience (153 citations). Elena Valderrama has collaborated with scholars based in Spain, Germany and Italy. Frequent co-authors include Xavier Navarro, Thomas Stieglitz, Dolores Ceballos, Antoni Valero‐Cabré, Roméo Ortega, Nikita Barabanov, G. Escobar, Miquel Butı́, Francisco Javier Rodríguez and E. Cabruja. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Biomedical Materials Research and IEEE Transactions on Neural Systems and Rehabilitation Engineering.
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.