Corey Lammie

992 citations
31 papers · 511 · h-index 12

Impact in

Papers in

Corey Lammie

29 papers receiving 502 citations

Peers

Corey Lammie
Comparison fields: 5 of 66
  • Cognitive Neuroscience 142
  • Electrical and Electronic Engineering 362
  • Cellular and Molecular Neuroscience 113
  • Health Informatics 6
  • Artificial Intelligence 138
Replace Arfan Ghani with:
Arfan Ghani United Kingdom
Kuldeep Singh India
Gregor Lenz France
Zhenzhi Wu China
Mohammad Bavandpour United States
Arnab Neelim Mazumder United States
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De Ma China
Saber Moradi Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Corey Lammie

Since Specialization
Citations

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

Fields of papers citing papers by Corey Lammie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Corey Lammie, 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 Corey Lammie Line = papers co-authored together Corey Lammie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020135
2 201962
3 201842
4 202130
5 202229
6 202327
7 202224
8 202023
9 201822
10 202315
11 202212
12 202111
13 202111
14 202310
15 20199
16 20237
17 20236
18 20245
19 20225
20 20234

About Corey Lammie

Corey Lammie is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience and Computer Networks and Communications, having authored 31 papers that have together received 511 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (26 papers), Ferroelectric and Negative Capacitance Devices (14 papers), Neural dynamics and brain function (8 papers), Neuroscience and Neural Engineering (5 papers), Neural Networks and Reservoir Computing (5 papers), CCD and CMOS Imaging Sensors (4 papers), Advanced Neural Network Applications (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Cognitive Neuroscience (142 citations), Electrical and Electronic Engineering (362 citations), Cellular and Molecular Neuroscience (113 citations), Health Informatics (6 citations) and Artificial Intelligence (138 citations). Corey Lammie has collaborated with scholars based in Australia, Switzerland and United States. Frequent co-authors include Mostafa Rahimi Azghadi, Jason K. Eshraghian, B. Linares-Barranco, Tara Julia Hamilton, Elisa Donati, Melika Payvand, Giacomo Indiveri, Alex Olsen, Wei Xiang and André van Schaik. Their work appears in journals such as Neurocomputing, Array, Nature Communications, IEEE Transactions on Circuits & Systems II Express Briefs and Nature Machine Intelligence.

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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