Abigail Morrison

4.1k citations
102 papers · 2.1k · h-index 22

Impact in

Papers in

Abigail Morrison

95 papers receiving 2.0k citations

Peers

Abigail Morrison
Comparison fields: 5 of 107
  • Cognitive Neuroscience 1.7k
  • Cellular and Molecular Neuroscience 892
  • Electrical and Electronic Engineering 1.3k
  • Developmental Biology 27
  • Statistical and Nonlinear Physics 152
Replace Dan F. M. Goodman with:
Dan F. M. Goodman France
Matthew Fellows United States
Hans Ekkehard Pleßer Norway
Omri Barak Israel
Marc-Oliver Gewaltig Germany
Henning Sprekeler Germany
Kanaka Rajan United States
Richard Naud Canada
Thomas Wennekers United Kingdom
Pamela Reinagel United States
Abigail Morrison relative to Dan F. M. Goodman France Dan F. M. Goodman's profile →
Citations per field
00.5×1.5×
Dan F. M. Goodman · 1×
Citations per year

Countries citing papers authored by Abigail Morrison

Since Specialization
Citations

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

Fields of papers citing papers by Abigail Morrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Abigail Morrison, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Abigail Morrison Line = papers co-authored together Abigail Morrison links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008418
2 2007269
3 2005148
4 200681
5 201474
6 200871
7 200760
8 201048
9 201242
10 201639
11 201137
12 201035
13 201233
14 200933
15 201933
16 201725
17 201125
18 201825
19 201123
20 201423

About Abigail Morrison

Abigail Morrison is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 102 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (77 papers), Advanced Memory and Neural Computing (63 papers), Neuroscience and Neural Engineering (20 papers), Functional Brain Connectivity Studies (16 papers), Neural Networks and Reservoir Computing (13 papers), EEG and Brain-Computer Interfaces (9 papers), Neural Networks and Applications (8 papers) and Ferroelectric and Negative Capacitance Devices (6 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Cellular and Molecular Neuroscience (892 citations), Electrical and Electronic Engineering (1.3k citations), Developmental Biology (27 citations) and Statistical and Nonlinear Physics (152 citations). Abigail Morrison has collaborated with scholars based in Germany, Japan and Norway. Frequent co-authors include Markus Diesmann, Wulfram Gerstner, Ad Aertsen, Hans Ekkehard Pleßer, Renato Duarte, Susanne Kunkel, Jochen Martin Eppler, T. Geisel, Carsten Mehring and Marc-Oliver Gewaltig. Their work appears in journals such as Frontiers in Neuroinformatics, BMC Neuroscience, Neural Computation, PLoS Computational Biology and Frontiers in Integrative 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.

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