Birgit Kriener

481 total citations
20 papers, 295 citations indexed

About

Birgit Kriener is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Birgit Kriener has authored 20 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 10 papers in Statistical and Nonlinear Physics and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Birgit Kriener's work include Neural dynamics and brain function (17 papers), stochastic dynamics and bifurcation (10 papers) and Advanced Memory and Neural Computing (9 papers). Birgit Kriener is often cited by papers focused on Neural dynamics and brain function (17 papers), stochastic dynamics and bifurcation (10 papers) and Advanced Memory and Neural Computing (9 papers). Birgit Kriener collaborates with scholars based in Norway, Germany and United States. Birgit Kriener's co-authors include Stefan Rotter, Tom Tetzlaff, Ad Aertsen, Markus Diesmann, Gaute T. Einevoll, Hans Ekkehard Pleßer, Moritz Helias, Hua Hu, Koen Vervaeke and Marc-Oliver Gewaltig and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cell Reports and PLoS Computational Biology.

In The Last Decade

Birgit Kriener

19 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Birgit Kriener Norway 10 246 113 84 84 43 20 295
Sara Teller Spain 6 226 0.9× 189 1.7× 67 0.8× 58 0.7× 27 0.6× 10 335
Benjamin Staude Germany 7 294 1.2× 142 1.3× 41 0.5× 138 1.6× 32 0.7× 9 355
Itay Baruchi Israel 11 258 1.0× 192 1.7× 50 0.6× 91 1.1× 42 1.0× 16 373
Nicole Voges France 11 219 0.9× 141 1.2× 45 0.5× 34 0.4× 22 0.5× 18 321
Felipe Gerhard Switzerland 6 225 0.9× 132 1.2× 54 0.6× 43 0.5× 12 0.3× 9 283
Wesley Clawson United States 7 235 1.0× 93 0.8× 35 0.4× 91 1.1× 20 0.5× 11 309
Hagai Agmon-Snir Israel 4 394 1.6× 282 2.5× 124 1.5× 54 0.6× 23 0.5× 6 508
Christian Pozzorini Switzerland 6 253 1.0× 143 1.3× 102 1.2× 95 1.1× 23 0.5× 10 328
Skander Mensi Switzerland 6 299 1.2× 168 1.5× 123 1.5× 104 1.2× 23 0.5× 10 324
Moritz Deger Germany 13 343 1.4× 172 1.5× 130 1.5× 134 1.6× 59 1.4× 20 402

Countries citing papers authored by Birgit Kriener

Since Specialization
Citations

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

Fields of papers citing papers by Birgit Kriener

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Birgit Kriener

This figure shows the co-authorship network connecting the top 25 collaborators of Birgit Kriener. A scholar is included among the top collaborators of Birgit Kriener 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 Birgit Kriener. Birgit Kriener 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
1.
Senk, Johanna, Birgit Kriener, Mikael Djurfeldt, et al.. (2022). Connectivity concepts in neuronal network modeling. PLoS Computational Biology. 18(9). e1010086–e1010086. 20 indexed citations
2.
Kriener, Birgit, Hua Hu, & Koen Vervaeke. (2022). Parvalbumin interneuron dendrites enhance gamma oscillations. Cell Reports. 39(11). 110948–110948. 22 indexed citations
3.
Kriener, Birgit, Rishidev Chaudhuri, & Ila Fiete. (2020). Robust parallel decision-making in neural circuits with nonlinear inhibition. Proceedings of the National Academy of Sciences. 117(41). 25505–25516. 5 indexed citations
4.
Senk, Johanna, Birgit Kriener, Hans Ekkehard Pleßer, et al.. (2019). Connectivity Concepts for Neuronal Networks. JuSER (Forschungszentrum Jülich). 1 indexed citations
5.
Kriener, Birgit, et al.. (2018). Firing-rate models for neurons with a broad repertoire of spiking behaviors. Journal of Computational Neuroscience. 45(2). 103–132. 9 indexed citations
6.
Kriener, Birgit, et al.. (2014). Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses. Frontiers in Computational Neuroscience. 8. 136–136. 32 indexed citations
7.
Kriener, Birgit, Moritz Helias, Stefan Rotter, Markus Diesmann, & Gaute T. Einevoll. (2014). How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime. Frontiers in Computational Neuroscience. 7. 187–187. 21 indexed citations
8.
Kriener, Birgit, Moritz Helias, Stefan Rotter, Markus Diesmann, & Gaute T. Einevoll. (2013). How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime. BMC Neuroscience. 14(S1). 3 indexed citations
9.
Kriener, Birgit, et al.. (2013). Generation and annihilation of localized persistent-activity states in a two-population neural-field model. Neural Networks. 46. 75–90. 5 indexed citations
10.
Kriener, Birgit, et al.. (2013). Firing-rate models capture essential response dynamics of LGN relay cells. Journal of Computational Neuroscience. 35(3). 359–375. 10 indexed citations
11.
Kriener, Birgit, et al.. (2013). Firing-rate models for neurons with a broad repertoire of spiking behaviors. BMC Neuroscience. 14(S1).
12.
Kriener, Birgit, et al.. (2012). Complex networks: when random walk dynamics equals synchronization. New Journal of Physics. 14(9). 93002–93002. 4 indexed citations
13.
Kriener, Birgit. (2012). How synaptic weights determine stability of synchrony in networks of pulse-coupled excitatory and inhibitory oscillators. Chaos An Interdisciplinary Journal of Nonlinear Science. 22(3). 33143–33143. 4 indexed citations
14.
Berger, Stefanie, Robert C. Cannon, Mikael Djurfeldt, et al.. (2012). This is the pre-peer-reviewed version of the following article:. 3 indexed citations
15.
Davison, Andrew P., Padraig Gleeson, Birgit Kriener, et al.. (2012). Computational Neuroscience Ontology: a new tool to provide semantic meaning to your models. BMC Neuroscience. 13(S1). 8 indexed citations
16.
Crook, Sharon, James A. Bednar, Sandra L. Berger, et al.. (2012). Creating, documenting and sharing network models. Network Computation in Neural Systems. 23(4). 131–149. 13 indexed citations
17.
Raikov, Ivan, Robert C. Cannon, Robert Clewley, et al.. (2011). NineML: the network interchange for ne uroscience modeling language. BMC Neuroscience. 12(S1). 24 indexed citations
18.
Kriener, Birgit, Moritz Helias, Ad Aertsen, & Stefan Rotter. (2009). Correlations in spiking neuronal networks with distance dependent connections. Journal of Computational Neuroscience. 27(2). 177–200. 31 indexed citations
19.
Kriener, Birgit, Tom Tetzlaff, Ad Aertsen, Markus Diesmann, & Stefan Rotter. (2008). Correlations and Population Dynamics in Cortical Networks. Neural Computation. 20(9). 2185–2226. 79 indexed citations
20.

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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