Javier Rodríguez

960 total citations
31 papers, 725 citations indexed

About

Javier Rodríguez is a scholar working on Biomedical Engineering, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Javier Rodríguez has authored 31 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 8 papers in Oncology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Javier Rodríguez's work include Muscle activation and electromyography studies (15 papers), Neuroscience and Neural Engineering (7 papers) and Advanced Sensor and Energy Harvesting Materials (7 papers). Javier Rodríguez is often cited by papers focused on Muscle activation and electromyography studies (15 papers), Neuroscience and Neural Engineering (7 papers) and Advanced Sensor and Energy Harvesting Materials (7 papers). Javier Rodríguez collaborates with scholars based in Spain, United States and Bulgaria. Javier Rodríguez's co-authors include Terrence Town, David Gate, Kavon Rezai‐Zadeh, Kevin R. Doty, Brian Leung, Marie‐Victoire Guillot‐Sestier, Jesús García‐Foncillas, Ruth Zárate, Nerea Bitarte and Eva Bandrés and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Javier Rodríguez

29 papers receiving 720 citations

Peers

Javier Rodríguez
Comparison fields: 5 of 86
  • Molecular Biology 236
  • Neurology 226
  • Physiology 199
  • Oncology 173
  • Cancer Research 150
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Citations per field, relative to Javier Rodríguez
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Citations per year, relative to Javier Rodríguez
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Countries citing papers authored by Javier Rodríguez

Since Specialization
Citations

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

Fields of papers citing papers by Javier Rodríguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Rodríguez

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Rodríguez. A scholar is included among the top collaborators of Javier Rodríguez 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 Javier Rodríguez. Javier Rodríguez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 293
4
Automatic fall detector based on sliding window principle
2
5 35
6 21
7 9
8 139
9 1
10
Teaching a master student how to model the electrical potentials produced by the muscle
2
11 8
12 40
13 16
14 2
15 4
16 5
17 7
18 6
19 28
20 14

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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