Benjamin Lansdell

534 total citations
11 papers, 293 citations indexed

About

Benjamin Lansdell is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Benjamin Lansdell has authored 11 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Artificial Intelligence. Recurrent topics in Benjamin Lansdell's work include Neural dynamics and brain function (7 papers), Neuroscience and Neural Engineering (3 papers) and Neural Networks and Applications (2 papers). Benjamin Lansdell is often cited by papers focused on Neural dynamics and brain function (7 papers), Neuroscience and Neural Engineering (3 papers) and Neural Networks and Applications (2 papers). Benjamin Lansdell collaborates with scholars based in United States, Iran and China. Benjamin Lansdell's co-authors include Adrienne L. Fairhall, Shuangming Yang, Jiang Wang, Bin Deng, B. Linares-Barranco, Rich Pang, Konrad P. Körding, Johnatan Aljadeff, David Kleinfeld and Kevin Ford and has published in prestigious journals such as Cell, Neuron and Current Biology.

In The Last Decade

Benjamin Lansdell

9 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin Lansdell United States	7	150	84	68	50	34	11	293
Jasmine Collins United States	4	275 1.8×	101 1.2×	97 1.4×	53 1.1×	64 1.9×	6	419
Benjamin D. Haeffele United States	7	149 1.0×	61 0.7×	105 1.5×	21 0.4×	52 1.5×	22	327
Yuwei Cui United States	8	261 1.7×	89 1.1×	112 1.6×	71 1.4×	30 0.9×	9	372
Shreya Saxena United States	10	260 1.7×	60 0.7×	114 1.7×	35 0.7×	19 0.6×	25	368
Guillaume Lajoie Canada	12	239 1.6×	136 1.6×	75 1.1×	91 1.8×	17 0.5×	28	360
Jason Prentice United States	7	286 1.9×	48 0.6×	145 2.1×	52 1.0×	20 0.6×	12	334
Arno Onken United Kingdom	9	220 1.5×	41 0.5×	95 1.4×	32 0.6×	10 0.3×	19	317
Montri Phothisonothai Thailand	9	176 1.2×	46 0.5×	61 0.9×	33 0.7×	29 0.9×	42	294
Toru Aonishi Japan	12	201 1.3×	129 1.5×	118 1.7×	61 1.2×	30 0.9×	52	436
Gal Mishne United States	11	88 0.6×	83 1.0×	29 0.4×	16 0.3×	69 2.0×	35	362

Countries citing papers authored by Benjamin Lansdell

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Lansdell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Lansdell

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

All Works

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11 of 11 papers shown

1.

Lansdell, Benjamin, et al.. (2025). Locus coeruleus norepinephrine neurons facilitate orbitofrontal cortex remapping and behavioral flexibility. Cell Reports. 44(12). 116687–116687.

2.

Lansdell, Benjamin & Konrad P. Körding. (2023). Neural spiking for causal inference and learning. PLoS Computational Biology. 19(4). e1011005–e1011005.

3.

Davenport, Christopher M., Brett J.W. Teubner, Seung Baek Han, et al.. (2022). Innate frequency-discrimination hyperacuity in Williams-Beuren syndrome mice. Cell. 185(21). 3877–3895.e21. 7 indexed citations

4.

Lansdell, Benjamin, et al.. (2022). Three aspects of representation in neuroscience. Trends in Cognitive Sciences. 26(11). 942–958. 28 indexed citations

5.

Yang, Shuangming, et al.. (2021). Efficient Spike-Driven Learning With Dendritic Event-Based Processing. Frontiers in Neuroscience. 15. 601109–601109. 119 indexed citations

6.

Lansdell, Benjamin, et al.. (2020). Learning to solve the credit assignment problem. International Conference on Learning Representations. 2 indexed citations

7.

Lansdell, Benjamin, et al.. (2019). Reconfiguring Motor Circuits for a Joint Manual and BCI Task. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(1). 248–257. 6 indexed citations

8.

Lansdell, Benjamin, et al.. (2019). Quantifying How Staining Methods Bias Measurements of Neuron Morphologies. Frontiers in Neuroinformatics. 13. 36–36. 15 indexed citations

9.

Pang, Rich, Benjamin Lansdell, & Adrienne L. Fairhall. (2016). Dimensionality reduction in neuroscience. Current Biology. 26(14). R656–R660. 52 indexed citations

10.

Aljadeff, Johnatan, Benjamin Lansdell, Adrienne L. Fairhall, & David Kleinfeld. (2016). Analysis of Neuronal Spike Trains, Deconstructed. Neuron. 91(2). 221–259. 55 indexed citations

11.

Lansdell, Benjamin, Kevin Ford, & J. Nathan Kutz. (2014). A Reaction-Diffusion Model of Cholinergic Retinal Waves. PLoS Computational Biology. 10(12). e1003953–e1003953. 9 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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