Benjamin Dann

767 total citations
10 papers, 382 citations indexed

About

Benjamin Dann is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Benjamin Dann has authored 10 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 1 paper in Computer Networks and Communications. Recurrent topics in Benjamin Dann's work include Neural dynamics and brain function (8 papers), EEG and Brain-Computer Interfaces (5 papers) and Motor Control and Adaptation (4 papers). Benjamin Dann is often cited by papers focused on Neural dynamics and brain function (8 papers), EEG and Brain-Computer Interfaces (5 papers) and Motor Control and Adaptation (4 papers). Benjamin Dann collaborates with scholars based in Germany, United States and Netherlands. Benjamin Dann's co-authors include Hansjörg Scherberger, Jonathan A. Michaels, Stefan Schaffelhofer, Swathi Sheshadri, Marius Schneider, Martin Vinck, Cem Uran, Ana Clara Broggini, Thomas F. Varley and Olaf Sporns and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Benjamin Dann

9 papers receiving 381 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benjamin Dann Germany 9 330 105 39 33 24 10 382
Sean M. Perkins United States 5 287 0.9× 85 0.8× 68 1.7× 26 0.8× 29 1.2× 7 318
Román Rossi-Pool Mexico 10 315 1.0× 84 0.8× 16 0.4× 16 0.5× 14 0.6× 25 348
Sean R. Bittner United States 4 255 0.8× 73 0.7× 43 1.1× 23 0.7× 31 1.3× 4 274
Jay A. Hennig United States 7 301 0.9× 99 0.9× 29 0.7× 16 0.5× 26 1.1× 9 326
Thomas M. Hall United Kingdom 6 358 1.1× 152 1.4× 57 1.5× 33 1.0× 18 0.8× 6 405
Stefan Schaffelhofer Germany 11 353 1.1× 132 1.3× 97 2.5× 61 1.8× 21 0.9× 15 402
João D. Semedo Portugal 7 362 1.1× 149 1.4× 17 0.4× 11 0.3× 31 1.3× 10 395
Haroon Anwar United States 8 281 0.9× 140 1.3× 23 0.6× 26 0.8× 18 0.8× 14 379
Shreya Saxena United States 10 260 0.8× 114 1.1× 28 0.7× 14 0.4× 60 2.5× 25 368
Jonathan Touryan United States 9 409 1.2× 145 1.4× 12 0.3× 38 1.2× 19 0.8× 25 479

Countries citing papers authored by Benjamin Dann

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Dann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Dann

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

All Works

10 of 10 papers shown
1.
Varley, Thomas F., Olaf Sporns, Stefan Schaffelhofer, Hansjörg Scherberger, & Benjamin Dann. (2023). Information-processing dynamics in neural networks of macaque cerebral cortex reflect cognitive state and behavior. Proceedings of the National Academy of Sciences. 120(2). e2207677120–e2207677120. 44 indexed citations
2.
Schneider, Marius, Ana Clara Broggini, Benjamin Dann, et al.. (2021). A mechanism for inter-areal coherence through communication based on connectivity and oscillatory power. Neuron. 109(24). 4050–4067.e12. 82 indexed citations
3.
Schaffelhofer, Stefan, et al.. (2021). A Turntable Setup for Testing Visual and Tactile Grasping Movements in Non-human Primates. Frontiers in Behavioral Neuroscience. 15. 648483–648483.
4.
Sheshadri, Swathi, et al.. (2020). 3D reconstruction toolbox for behavior tracked with multiple cameras. The Journal of Open Source Software. 5(45). 1849–1849. 23 indexed citations
5.
Michaels, Jonathan A., et al.. (2018). Neural Dynamics of Variable Grasp-Movement Preparation in the Macaque Frontoparietal Network. Journal of Neuroscience. 38(25). 5759–5773. 18 indexed citations
6.
Dann, Benjamin, et al.. (2018). Neural coding of intended and executed grasp force in macaque areas AIP, F5, and M1. Scientific Reports. 8(1). 17985–17985. 14 indexed citations
7.
Dann, Benjamin, Jonathan A. Michaels, Stefan Schaffelhofer, & Hansjörg Scherberger. (2016). Uniting functional network topology and oscillations in the fronto-parietal single unit network of behaving primates. eLife. 5. 46 indexed citations
8.
Michaels, Jonathan A., Benjamin Dann, & Hansjörg Scherberger. (2016). Neural Population Dynamics during Reaching Are Better Explained by a Dynamical System than Representational Tuning. PLoS Computational Biology. 12(11). e1005175–e1005175. 101 indexed citations
9.
Michaels, Jonathan A., et al.. (2015). Predicting Reaction Time from the Neural State Space of the Premotor and Parietal Grasping Network. Journal of Neuroscience. 35(32). 11415–11432. 44 indexed citations
10.
Takagaki, Kentaroh, M. Lippert, Benjamin Dann, Tim Wanger, & Frank W. Ohl. (2008). Normalization of Voltage-Sensitive Dye Signal with Functional Activity Measures. PLoS ONE. 3(12). e4041–e4041. 10 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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