Benjamin Staude

610 total citations
9 papers, 355 citations indexed

About

Benjamin Staude is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Benjamin Staude has authored 9 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 6 papers in Statistical and Nonlinear Physics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Benjamin Staude's work include Neural dynamics and brain function (9 papers), stochastic dynamics and bifurcation (6 papers) and Functional Brain Connectivity Studies (2 papers). Benjamin Staude is often cited by papers focused on Neural dynamics and brain function (9 papers), stochastic dynamics and bifurcation (6 papers) and Functional Brain Connectivity Studies (2 papers). Benjamin Staude collaborates with scholars based in Germany and Japan. Benjamin Staude's co-authors include Stefan Rotter, Volker Pernice, Stefano Cardanobile, Sonja Grün and Werner Ehm and has published in prestigious journals such as PLoS Computational Biology, Neural Computation and Journal of Neuroscience Methods.

In The Last Decade

Benjamin Staude

9 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin Staude Germany	7	294	142	138	58	48	9	355
Volker Pernice Germany	7	234 0.8×	97 0.7×	114 0.8×	48 0.8×	74 1.5×	10	363
Stefano Cardanobile Germany	11	280 1.0×	196 1.4×	128 0.9×	51 0.9×	16 0.3×	20	493
Felipe Gerhard Switzerland	6	225 0.8×	132 0.9×	43 0.3×	34 0.6×	28 0.6×	9	283
Javier Baladron Germany	11	206 0.7×	80 0.6×	88 0.6×	18 0.3×	31 0.6×	18	350
Romain Veltz France	11	262 0.9×	85 0.6×	188 1.4×	23 0.4×	45 0.9×	27	370
John D. Hunter United States	9	234 0.8×	138 1.0×	110 0.8×	50 0.9×	24 0.5×	12	336
Moritz Deger Germany	13	343 1.2×	172 1.2×	134 1.0×	35 0.6×	43 0.9×	20	402
Gabriel Koch Ocker United States	9	389 1.3×	243 1.7×	80 0.6×	40 0.7×	31 0.6×	16	434
Michael Vanier United States	5	185 0.6×	150 1.1×	95 0.7×	60 1.0×	35 0.7×	5	354
Yasuhiro Tsubo Japan	11	364 1.2×	176 1.2×	203 1.5×	42 0.7×	38 0.8×	19	477

Countries citing papers authored by Benjamin Staude

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Staude

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Staude

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

All Works

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9 of 9 papers shown

1.

Pernice, Volker, Benjamin Staude, Stefano Cardanobile, & Stefan Rotter. (2012). Recurrent interactions in spiking networks with arbitrary topology. Physical Review E. 85(3). 31916–31916. 44 indexed citations

2.

Staude, Benjamin, et al.. (2012). Modeling and analyzing higher-order correlations in non-Poissonian spike trains. Journal of Neuroscience Methods. 208(1). 18–33. 5 indexed citations

3.

Pernice, Volker, Benjamin Staude, Stefano Cardanobile, & Stefan Rotter. (2011). How Structure Determines Correlations in Neuronal Networks. PLoS Computational Biology. 7(5). e1002059–e1002059. 182 indexed citations

4.

Staude, Benjamin. (2010). Higher-order correlations in non-stationary parallel spike trains: statistical modeling and inference. Frontiers in Computational Neuroscience. 4. 33 indexed citations

5.

Staude, Benjamin, Stefan Rotter, & Sonja Grün. (2009). CuBIC: cumulant based inference of higher-order correlations in massively parallel spike trains. Journal of Computational Neuroscience. 29(1-2). 327–350. 50 indexed citations

6.

Staude, Benjamin & Stefan Rotter. (2009). Higher-order correlations in non-stationary parallel spike trains: statistical modeling and inference. BMC Neuroscience. 10(S1). 7 indexed citations

7.

Staude, Benjamin, Stefan Rotter, & Sonja Grün. (2008). Can Spike Coordination Be Differentiated from Rate Covariation?. Neural Computation. 20(8). 1973–1999. 20 indexed citations

8.

Staude, Benjamin, Stefan Rotter, & Sonja Grün. (2007). Testing for higher-order correlations in massively parallel spike trains. BMC Neuroscience. 8(S2). 2 indexed citations

9.

Ehm, Werner, Benjamin Staude, & Stefan Rotter. (2007). Decomposition of neuronal assembly activity via empirical de-Poissonization. Electronic Journal of Statistics. 1(none). 12 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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