David Andreu

95 papers receiving 1.2k citations

Peers

David Andreu
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 527
  • Neurology 160
  • Cognitive Neuroscience 335
  • Biomedical Engineering 508
  • Hardware and Architecture 71
Replace Tae‐Gyu Chang with:
Tae‐Gyu Chang South Korea
Abbas Erfanian Iran
Ji‐Woong Choi South Korea
Simone Benatti Italy
Chuang Lin China
Iyad Obeid United States
H. Gollee United Kingdom
Xilin Liu United States
Farzad Towhidkhah Iran
Giorgio Biagetti Italy
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Citations per field
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Tae‐Gyu Chang · 1×
Citations per year

Countries citing papers authored by David Andreu

Since Specialization
Citations

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

Fields of papers citing papers by David Andreu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Andreu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Andreu Line = papers co-authored together David Andreu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019198
2 2011186
3 201669
4 200960
5 200946
6 202045
7 201534
8 201832
9 201831
10 201729
11 201629
12 199726
13 200826
14 201725
15 201616
16 201516
17 201514
18 201414
19 199213
20 202212

About David Andreu

David Andreu is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Hardware and Architecture, Computational Theory and Mathematics and Cognitive Neuroscience, having authored 96 papers that have together received 1.2k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (24 papers), Neuroscience and Neural Engineering (21 papers), Petri Nets in System Modeling (19 papers), EEG and Brain-Computer Interfaces (13 papers), Real-Time Systems Scheduling (13 papers), Formal Methods in Verification (9 papers), Underwater Vehicles and Communication Systems (8 papers) and Embedded Systems Design Techniques (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (527 citations), Neurology (160 citations), Cognitive Neuroscience (335 citations), Biomedical Engineering (508 citations) and Hardware and Architecture (71 citations). David Andreu has collaborated with scholars based in France, Spain and Germany. Frequent co-authors include David Guiraud, Thomas Stieglitz, Christine Coste, Xavier Navarro, Tim Boretius, Jordi Badía, R. Valette, Charles Fattal, Paul Čvančara and Staniša Raspopović. Their work appears in journals such as Journal of Neural Engineering, IEEE Transactions on Biomedical Engineering, Journal of the American College of Cardiology, Ocean Engineering and Advanced Robotics.

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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