Benjamin Torben-Nielsen

987 total citations
30 papers, 518 citations indexed

About

Benjamin Torben-Nielsen is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biophysics. According to data from OpenAlex, Benjamin Torben-Nielsen has authored 30 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 9 papers in Cellular and Molecular Neuroscience and 9 papers in Biophysics. Recurrent topics in Benjamin Torben-Nielsen's work include Neural dynamics and brain function (18 papers), Cell Image Analysis Techniques (9 papers) and Neural Networks and Applications (6 papers). Benjamin Torben-Nielsen is often cited by papers focused on Neural dynamics and brain function (18 papers), Cell Image Analysis Techniques (9 papers) and Neural Networks and Applications (6 papers). Benjamin Torben-Nielsen collaborates with scholars based in Japan, Israel and Netherlands. Benjamin Torben-Nielsen's co-authors include James Kozloski, Klaus M. Stiefel, Erik De Schutter, Yosef Yarom, Idan Segev, Hermann Cuntz, Saman Ebrahimi, Kevin P. White, Reiko Amikura and Rebecca Spokony and has published in prestigious journals such as Nature Neuroscience, Cell Reports and PLoS Computational Biology.

In The Last Decade

Benjamin Torben-Nielsen

26 papers receiving 505 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 Torben-Nielsen Japan 13 226 191 106 95 94 30 518
Davis Bennett United States 8 288 1.3× 287 1.5× 174 1.6× 108 1.1× 163 1.7× 8 710
Vincent J. Dercksen Germany 11 327 1.4× 294 1.5× 78 0.7× 94 1.0× 26 0.3× 15 526
James Kozloski United States 13 349 1.5× 323 1.7× 130 1.2× 71 0.7× 19 0.2× 43 749
Uygar Sümbül United States 12 200 0.9× 274 1.4× 279 2.6× 95 1.0× 48 0.5× 19 618
Jiannis Taxidis United States 8 461 2.0× 430 2.3× 88 0.8× 126 1.3× 51 0.5× 11 717
Nicholas Collins Weiler United States 5 313 1.4× 414 2.2× 221 2.1× 107 1.1× 62 0.7× 7 707
Nicholas Sofroniew United States 5 447 2.0× 407 2.1× 121 1.1× 236 2.5× 94 1.0× 6 801
Ruggero Scorcioni United States 8 261 1.2× 262 1.4× 141 1.3× 240 2.5× 35 0.4× 12 549
Tanya Sippy United States 5 398 1.8× 469 2.5× 169 1.6× 69 0.7× 42 0.4× 7 641
Joergen Kornfeld Germany 11 149 0.7× 100 0.5× 126 1.2× 216 2.3× 75 0.8× 13 628

Countries citing papers authored by Benjamin Torben-Nielsen

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Torben-Nielsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Torben-Nielsen

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Torben-Nielsen. A scholar is included among the top collaborators of Benjamin Torben-Nielsen 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 Torben-Nielsen. Benjamin Torben-Nielsen 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.
Torben-Nielsen, Benjamin, et al.. (2022). A Comparison Between Single- and Multi-Scale Approaches for Classification of Histopathology Images. Frontiers in Public Health. 10. 892658–892658. 9 indexed citations
2.
Medvedev, Nikolay, Tycho M. Hoogland, Chris I. De Zeeuw, et al.. (2019). Variability and directionality of inferior olive neuron dendrites revealed by detailed 3D characterization of an extensive morphological library. Brain Structure and Function. 224(4). 1677–1695. 17 indexed citations
3.
Torben-Nielsen, Benjamin, et al.. (2019). Electrical Compartmentalization in Neurons. Cell Reports. 26(7). 1759–1773.e7. 25 indexed citations
4.
Nanda, Sumit, Hanbo Chen, Ravi Das, et al.. (2018). Design and implementation of multi-signal and time-varying neural reconstructions. Scientific Data. 5(1). 170207–170207. 23 indexed citations
5.
Ebrahimi, Saman, Reiko Amikura, Rebecca Spokony, et al.. (2015). Centrosomin represses dendrite branching by orienting microtubule nucleation. Nature Neuroscience. 18(10). 1437–1445. 90 indexed citations
6.
Torben-Nielsen, Benjamin, et al.. (2015). Cerebellar Nuclear Neurons Use Time and Rate Coding to Transmit Purkinje Neuron Pauses. PLoS Computational Biology. 11(12). e1004641–e1004641. 14 indexed citations
7.
Torben-Nielsen, Benjamin, et al.. (2014). Spatially Distributed Dendritic Resonance Selectively Filters Synaptic Input. PLoS Computational Biology. 10(8). e1003775–e1003775. 16 indexed citations
8.
Torben-Nielsen, Benjamin & Erik De Schutter. (2014). Context-aware modeling of neuronal morphologies. Frontiers in Neuroanatomy. 8. 92–92. 24 indexed citations
9.
Torben-Nielsen, Benjamin. (2014). An Efficient and Extendable Python Library to Analyze Neuronal Morphologies. Neuroinformatics. 12(4). 619–622. 15 indexed citations
10.
Remme, Michiel W. H., Hermann Cuntz, & Benjamin Torben-Nielsen. (2014). The Computing Dendrite : From Structure to Function. 7 indexed citations
11.
Stiefel, Klaus M., Benjamin Torben-Nielsen, & Jay S. Coggan. (2013). Proposed evolutionary changes in the role of myelin. Frontiers in Neuroscience. 7. 202–202. 22 indexed citations
12.
Lefler, Yaara, Benjamin Torben-Nielsen, & Yosef Yarom. (2013). Oscillatory activity, phase differences, and phase resetting in the inferior olivary nucleus. Frontiers in Systems Neuroscience. 7. 22–22. 17 indexed citations
13.
Torben-Nielsen, Benjamin, et al.. (2013). Self-referential forces are sufficient to explain different dendritic morphologies. Frontiers in Neuroinformatics. 7. 1–1. 111 indexed citations
14.
Torben-Nielsen, Benjamin, Idan Segev, & Yosef Yarom. (2012). The Generation of Phase Differences and Frequency Changes in a Network Model of Inferior Olive Subthreshold Oscillations. PLoS Computational Biology. 8(7). e1002580–e1002580. 31 indexed citations
15.
Stern, Merav, Benjamin Torben-Nielsen, Yaara Lefler, Idan Segev, & Yosef Yarom. (2011). Modeling network phenomena in the Inferior Olive: I. Keeping track of time. BMC Neuroscience. 12(S1).
16.
Torben-Nielsen, Benjamin & Klaus M. Stiefel. (2010). An Inverse Approach for Elucidating Dendritic Function. Frontiers in Computational Neuroscience. 4. 128–128. 19 indexed citations
17.
Torben-Nielsen, Benjamin & Klaus M. Stiefel. (2010). Wide-Field Motion Integration in Fly VS Cells: Insights from an Inverse Approach. PLoS Computational Biology. 6(9). e1000932–e1000932. 4 indexed citations
18.
Torben-Nielsen, Benjamin, Stijn Vanderlooy, & Eric Postma. (2008). Non-parametric Algorithmic Generation of Neuronal Morphologies. Neuroinformatics. 6(4). 257–277. 9 indexed citations
19.
Reeve, Richard, André van Schaik, Craig Jin, et al.. (2006). Directional hearing in a silicon cricket. Biosystems. 87(2-3). 307–313. 3 indexed citations
20.
Torben-Nielsen, Benjamin, Guido de Croon, & Eric Postma. (2005). Timing is important: delaying action execution in Plastic Neural Networks.. 13(3). 232–238. 1 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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