Nina Bien

413 total citations
8 papers, 311 citations indexed

About

Nina Bien is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Nina Bien has authored 8 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Social Psychology and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Nina Bien's work include Spatial Neglect and Hemispheric Dysfunction (2 papers), Cognitive and developmental aspects of mathematical skills (2 papers) and Transcranial Magnetic Stimulation Studies (2 papers). Nina Bien is often cited by papers focused on Spatial Neglect and Hemispheric Dysfunction (2 papers), Cognitive and developmental aspects of mathematical skills (2 papers) and Transcranial Magnetic Stimulation Studies (2 papers). Nina Bien collaborates with scholars based in Netherlands, Luxembourg and Belgium. Nina Bien's co-authors include Alexander T. Sack, Rainer Goebel, Sanne ten Oever, Alard Roebroeck, Roi Cohen Kadosh, Nienke van Atteveldt, Christianne Jacobs, Teresa Schuhmann and Felix Duecker and has published in prestigious journals such as NeuroImage, Cerebral Cortex and Journal of Cognitive Neuroscience.

In The Last Decade

Nina Bien

8 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nina Bien Netherlands	8	216	137	122	57	41	8	311
Rocco Chiou United Kingdom	14	384 1.8×	219 1.6×	129 1.1×	92 1.6×	11 0.3×	24	530
Łukasz Bola Poland	12	383 1.8×	190 1.4×	57 0.5×	23 0.4×	21 0.5×	21	461
Josephine Cock Switzerland	11	229 1.1×	79 0.6×	69 0.6×	20 0.4×	30 0.7×	14	357
Benoı̂t Jutras Canada	12	502 2.3×	171 1.2×	30 0.2×	134 2.4×	18 0.4×	31	557
Mohamed Rezk Italy	11	338 1.6×	209 1.5×	36 0.3×	32 0.6×	18 0.4×	18	367
Nathan Van der Stoep Netherlands	16	367 1.7×	325 2.4×	176 1.4×	157 2.8×	11 0.3×	33	546
Makiko Hirakata Japan	6	208 1.0×	67 0.5×	155 1.3×	15 0.3×	17 0.4×	8	328
Todd A. Kelley United States	11	484 2.2×	84 0.6×	47 0.4×	28 0.5×	21 0.5×	12	539
David J. Prime Canada	12	645 3.0×	159 1.2×	61 0.5×	38 0.7×	20 0.5×	17	714
Souta Hidaka Japan	14	336 1.6×	297 2.2×	85 0.7×	94 1.6×	7 0.2×	52	447

Countries citing papers authored by Nina Bien

Since Specialization

Citations

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

Fields of papers citing papers by Nina Bien

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Bien

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

All Works

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8 of 8 papers shown

Duecker, Felix, Teresa Schuhmann, Nina Bien, Christianne Jacobs, & Alexander T. Sack. (2017). Moving Beyond Attentional Biases: Shifting the Interhemispheric Balance between Left and Right Posterior Parietal Cortex Modulates Attentional Control Processes. Journal of Cognitive Neuroscience. 29(7). 1267–1278. 19 indexed citations

Bien, Nina & Alexander T. Sack. (2014). Dissecting hemisphere-specific contributions to visual spatial imagery using parametric brain mapping. NeuroImage. 94. 231–238. 9 indexed citations

Oever, Sanne ten, et al.. (2013). Audio-visual onset differences are used to determine syllable identity for ambiguous audio-visual stimulus pairs. Frontiers in Psychology. 4. 331–331. 31 indexed citations

Kadosh, Roi Cohen, Nina Bien, & Alexander T. Sack. (2012). Automatic and Intentional Number Processing Both Rely on Intact Right Parietal Cortex: A Combined fMRI and Neuronavigated TMS Study. Frontiers in Human Neuroscience. 6. 2–2. 35 indexed citations

Bien, Nina, Rainer Goebel, & Alexander T. Sack. (2011). Extinguishing Extinction: Hemispheric Differences in the Modulation of TMS-induced Visual Extinction by Directing Covert Spatial Attention. Journal of Cognitive Neuroscience. 24(4). 809–818. 15 indexed citations

Bien, Nina, Sanne ten Oever, Rainer Goebel, & Alexander T. Sack. (2011). The sound of size. NeuroImage. 59(1). 663–672. 105 indexed citations

Bien, Nina, Alard Roebroeck, Rainer Goebel, & Alexander T. Sack. (2009). The Brain's Intention to Imitate: The Neurobiology of Intentional versus Automatic Imitation. Cerebral Cortex. 19(10). 2338–2351. 89 indexed citations

Bien, Nina, Alard Roebroeck, Rainer Goebel, & Alexander T. Sack. (2008). The brain's intention to imitate: The neurobiology of intentional versus automatic imitation. Brain stimulation. 1(3). 314–315. 8 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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