Laura Driscoll

1.2k total citations
7 papers, 457 citations indexed

About

Laura Driscoll is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Laura Driscoll has authored 7 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Artificial Intelligence and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Laura Driscoll's work include Neural dynamics and brain function (6 papers), Neural Networks and Applications (2 papers) and EEG and Brain-Computer Interfaces (2 papers). Laura Driscoll is often cited by papers focused on Neural dynamics and brain function (6 papers), Neural Networks and Applications (2 papers) and EEG and Brain-Computer Interfaces (2 papers). Laura Driscoll collaborates with scholars based in United States, United Kingdom and Italy. Laura Driscoll's co-authors include Christopher D. Harvey, Selmaan N. Chettih, Matthias Minderer, Lea Duncker, David Sussillo, Krishna V. Shenoy, Michael E. Rule, Timothy O’Leary, Eben N. Broadbent and William H. Durham and has published in prestigious journals such as Nature, Cell and Nature Neuroscience.

In The Last Decade

Laura Driscoll

7 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laura Driscoll United States	7	341	206	60	46	35	7	457
Harris S. Kaplan United States	7	199 0.6×	237 1.2×	27 0.5×	22 0.5×	64 1.8×	10	540
Geir Halnes Norway	15	293 0.9×	280 1.4×	20 0.3×	74 1.6×	104 3.0×	34	605
Rafael Levi United States	13	209 0.6×	196 1.0×	30 0.5×	43 0.9×	32 0.9×	27	342
Marcelo Camperi United States	6	334 1.0×	165 0.8×	52 0.9×	57 1.2×	49 1.4×	8	440
Eduardo J. Izquierdo United States	12	169 0.5×	110 0.5×	79 1.3×	36 0.8×	43 1.2×	40	489
Juan Carlos Letelier Chile	11	348 1.0×	217 1.1×	36 0.6×	47 1.0×	163 4.7×	18	620
Nicholas Cain United States	12	375 1.1×	154 0.7×	41 0.7×	122 2.7×	23 0.7×	15	590
Devika Narain Netherlands	9	693 2.0×	109 0.5×	127 2.1×	74 1.6×	26 0.7×	11	785
Emma K. Towlson United States	7	275 0.8×	93 0.5×	37 0.6×	28 0.6×	120 3.4×	10	562
Glen D. Brown United States	9	269 0.8×	161 0.8×	29 0.5×	12 0.3×	27 0.8×	10	428

Countries citing papers authored by Laura Driscoll

Since Specialization

Citations

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

Fields of papers citing papers by Laura Driscoll

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Driscoll

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

All Works

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7 of 7 papers shown

1.

Kuan, Aaron T., Laura Driscoll, David G. C. Hildebrand, et al.. (2024). Synaptic wiring motifs in posterior parietal cortex support decision-making. Nature. 627(8003). 367–373. 12 indexed citations

2.

Driscoll, Laura, Krishna V. Shenoy, & David Sussillo. (2024). Flexible multitask computation in recurrent networks utilizes shared dynamical motifs. Nature Neuroscience. 27(7). 1349–1363. 33 indexed citations

3.

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

4.

Rule, Michael E., et al.. (2020). Stable task information from an unstable neural population. eLife. 9. 58 indexed citations

5.

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

6.

Driscoll, Laura, et al.. (2017). Dynamic Reorganization of Neuronal Activity Patterns in Parietal Cortex. Cell. 170(5). 986–999.e16. 225 indexed citations

7.

Broadbent, Eben N., et al.. (2012). The effect of land use change and ecotourism on biodiversity: a case study of Manuel Antonio, Costa Rica, from 1985 to 2008. Landscape Ecology. 27(5). 731–744. 53 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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