Laura Driscoll

1.2k citations
7 papers · 457 indexed · h-index 7
Topics
Neural dynamics and brain function (6 papers)Neural Networks and Applications (2 papers)EEG and Brain-Computer Interfaces (2 papers)

In The Last Decade

Laura Driscoll

7 papers receiving 454 citations

Peers

Laura Driscoll
Comparison fields: 5 of 73
  • Cognitive Neuroscience 341
  • Cellular and Molecular Neuroscience 206
  • Artificial Intelligence 60
  • Electrical and Electronic Engineering 46
  • Molecular Biology 35
Replace Harris S. Kaplan with:
Harris S. Kaplan United States
Tatjana Tchumatchenko Germany
Casey O. Diekman United States
Stéphane Deny France
Juan Carlos Letelier Chile
Leo T. H. Tang United States
Miriam L. R. Meister United States
Nicholas Cain United States
Edgar Bermudez-Contreras Canada
Ashley Linder United States
Laura Driscoll relative to Harris S. Kaplan United States Harris S. Kaplan's profile →
Citations per field
00.5×1.5×2.3×
Harris S. Kaplan · 1×
Citations per year

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

7 of 7 papers shown
#WorkIndexed citations
1 12
2 33
3 56
4 58
5
Organizing recurrent network dynamics by task-computation to enable continual learning
20
6 225
7 53

About Laura Driscoll

Laura Driscoll is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 457 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Neural Networks and Applications (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Cognitive Neuroscience (341 citations), Cellular and Molecular Neuroscience (206 citations) and Sensory Systems (21 citations). Laura Driscoll has collaborated with scholars based in United States, United Kingdom and Italy. Frequent 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. Their work appears in journals such as Nature, Cell and Nature Neuroscience.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026