Lea Duncker

433 total citations
5 papers, 109 citations indexed

About

Lea Duncker is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lea Duncker has authored 5 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 3 papers in Artificial Intelligence and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lea Duncker's work include Neural dynamics and brain function (5 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Photoreceptor and optogenetics research (1 paper). Lea Duncker is often cited by papers focused on Neural dynamics and brain function (5 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Photoreceptor and optogenetics research (1 paper). Lea Duncker collaborates with scholars based in United States and United Kingdom. Lea Duncker's co-authors include Laura Driscoll, Maneesh Sahani, Christopher D. Harvey, David Sussillo, Krishna V. Shenoy, Jonathan W. Pillow and Greg D. Field and has published in prestigious journals such as Current Opinion in Neurobiology, Neural Computation and UCL Discovery (University College London).

In The Last Decade

Lea Duncker

5 papers receiving 108 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lea Duncker United States	4	89	39	33	16	8	5	109
Ben Sorscher United States	5	86 1.0×	32 0.8×	33 1.0×	12 0.8×	6 0.8×	7	120
Erik Hermansen United States	2	147 1.7×	18 0.5×	86 2.6×	17 1.1×	6 0.8×	2	178
Rodrigo Echeveste Argentina	5	78 0.9×	55 1.4×	27 0.8×	24 1.5×	7 0.9×	9	201
Mikail Khona United States	2	82 0.9×	23 0.6×	26 0.8×	18 1.1×	9 1.1×	4	112
Nicolas Meirhaeghe United States	7	209 2.3×	43 1.1×	22 0.7×	18 1.1×	6 0.8×	7	225
Biraj Pandey United States	2	148 1.7×	29 0.7×	78 2.4×	13 0.8×	6 0.8×	2	172
Hui Song China	4	187 2.1×	39 1.0×	35 1.1×	42 2.6×	6 0.8×	6	241
Tommaso Salvatori United Kingdom	7	52 0.6×	33 0.8×	17 0.5×	24 1.5×	4 0.5×	13	96
Stefano Recanatesi United States	7	128 1.4×	69 1.8×	42 1.3×	40 2.5×	16 2.0×	12	168
A. Stasik Norway	7	65 0.7×	31 0.8×	36 1.1×	19 1.2×	8 1.0×	15	125

Countries citing papers authored by Lea Duncker

Since Specialization

Citations

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

Fields of papers citing papers by Lea Duncker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lea Duncker

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

All Works

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5 of 5 papers shown

1.

Duncker, Lea, et al.. (2023). Scalable Variational Inference for Low-Rank Spatiotemporal Receptive Fields. Neural Computation. 35(6). 995–1027. 3 indexed citations

2.

Driscoll, Laura, Lea Duncker, & Christopher D. Harvey. (2022). Representational drift: Emerging theories for continual learning and experimental future directions. Current Opinion in Neurobiology. 76. 102609–102609. 56 indexed citations

3.

Duncker, Lea & Maneesh Sahani. (2021). Dynamics on the manifold: Identifying computational dynamical activity from neural population recordings. Current Opinion in Neurobiology. 70. 163–170. 28 indexed citations

4.

Duncker, Lea, Laura Driscoll, Krishna V. Shenoy, Maneesh Sahani, & David Sussillo. (2020). Organizing recurrent network dynamics by task-computation to enable continual learning. UCL Discovery (University College London). 33. 14387–14397. 20 indexed citations

5.

Duncker, Lea & Maneesh Sahani. (2018). Temporal alignment and latent Gaussian process factor inference in population spike trains. UCL Discovery (University College London). 31. 10445–10455. 2 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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