Jörn Rickert

1.2k total citations
12 papers, 882 citations indexed

About

Jörn Rickert is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Jörn Rickert has authored 12 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Jörn Rickert's work include EEG and Brain-Computer Interfaces (11 papers), Neuroscience and Neural Engineering (10 papers) and Neural dynamics and brain function (6 papers). Jörn Rickert is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), Neuroscience and Neural Engineering (10 papers) and Neural dynamics and brain function (6 papers). Jörn Rickert collaborates with scholars based in Germany, United Kingdom and United States. Jörn Rickert's co-authors include Ad Aertsen, Carsten Mehring, Stefan Rotter, Eilon Vaadia, Simone Cardoso de Oliveira, Andreas Schulze‐Bonhage, Thomas Stieglitz, Joacir Graciolli Cordeiro, Tonio Ball and Alexa Riehle and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and Frontiers in Neuroscience.

In The Last Decade

Jörn Rickert

12 papers receiving 869 citations

Peers

Jörn Rickert
Alan D. Degenhart United States
Timothy Hanson United States
Brittany L Sorice United States
Jad Saab United States
Anish A. Sarma United States
Kelsie Pejsa United States
Cindy A Chestek United States
Amy L. Orsborn United States
Elmar Pels Netherlands
Alan D. Degenhart United States
Jörn Rickert
Citations per year, relative to Jörn Rickert Jörn Rickert (= 1×) peers Alan D. Degenhart

Countries citing papers authored by Jörn Rickert

Since Specialization
Citations

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

Fields of papers citing papers by Jörn Rickert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörn Rickert

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

All Works

12 of 12 papers shown
1.
Schalk, Gerwin, Peter Brunner, Brendan Z. Allison, et al.. (2024). Translation of neurotechnologies. Nature Reviews Bioengineering. 2(8). 637–652. 18 indexed citations
2.
Schalk, Gerwin, Filip Mívalt, Inyong Kim, et al.. (2022). Toward a fully implantable ecosystem for adaptive neuromodulation in humans: Preliminary experience with the CorTec BrainInterchange device in a canine model. Frontiers in Neuroscience. 16. 932782–932782. 5 indexed citations
4.
Heimbach, Bernhard, et al.. (2015). Invasive brain–machine interfaces: a survey of paralyzed patients’ attitudes, knowledge and methods of information retrieval. Journal of Neural Engineering. 12(4). 43001–43001. 27 indexed citations
5.
Ordonez, Juan S., Victor Pikov, Craig D. Patten, et al.. (2014). Cuff electrodes for very small diameter nerves — Prototyping and first recordings in vivo. PubMed. 2014. 6846–6849. 23 indexed citations
6.
Milekovic, Tomislav, Jörg Fischer, Tobias Pistohl, et al.. (2012). An online brain–machine interface using decoding of movement direction from the human electrocorticogram. Journal of Neural Engineering. 9(4). 46003–46003. 49 indexed citations
7.
Cordeiro, Joacir Graciolli, et al.. (2010). First long term in vivo study on subdurally implanted Micro-ECoG electrodes, manufactured with a novel laser technology. Biomedical Microdevices. 13(1). 59–68. 81 indexed citations
8.
Rickert, Jörn, Alexa Riehle, Ad Aertsen, Stefan Rotter, & Martin Paul Nawrot. (2009). Dynamic Encoding of Movement Direction in Motor Cortical Neurons. Journal of Neuroscience. 29(44). 13870–13882. 51 indexed citations
9.
Rickert, Jörn, et al.. (2007). Adaptive Classification for Brain Computer Interfaces. Conference proceedings. 2007. 2536–2539. 60 indexed citations
10.
Rickert, Jörn, Simone Cardoso de Oliveira, Eilon Vaadia, et al.. (2005). Encoding of Movement Direction in Different Frequency Ranges of Motor Cortical Local Field Potentials. Journal of Neuroscience. 25(39). 8815–8824. 243 indexed citations
11.
Mehring, Carsten, Jörn Rickert, Eilon Vaadia, et al.. (2003). Inference of hand movements from local field potentials in monkey motor cortex. Nature Neuroscience. 6(12). 1253–1254. 314 indexed citations
12.
Mehring, Carsten, Jörn Rickert, Simone Cardoso de Oliveira, et al.. (2003). Hints for a topographic map of tuning properties in primate motor cortex. FreiDok plus (Universitätsbibliothek Freiburg). 28–31. 2 indexed citations

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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