Kenneth W. Latimer

689 total citations
12 papers, 323 citations indexed

About

Kenneth W. Latimer is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Kenneth W. Latimer has authored 12 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Kenneth W. Latimer's work include Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neural Networks and Applications (3 papers). Kenneth W. Latimer is often cited by papers focused on Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neural Networks and Applications (3 papers). Kenneth W. Latimer collaborates with scholars based in United States, Israel and Norway. Kenneth W. Latimer's co-authors include Jonathan W. Pillow, Alexander C. Huk, Jacob L. Yates, Miriam L. R. Meister, Fred Rieke, Nicholas J. Priebe, Benjamin Scholl, Adrienne L. Fairhall, David J. Freedman and Jesse H. Goldberg and has published in prestigious journals such as Science, Nature Communications and Neuron.

In The Last Decade

Kenneth W. Latimer

12 papers receiving 317 citations

Peers

Kenneth W. Latimer
Comparison fields: 5 of 49
  • Cognitive Neuroscience 284
  • Cellular and Molecular Neuroscience 95
  • Electrical and Electronic Engineering 36
  • Artificial Intelligence 30
  • Molecular Biology 23
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Sergei P. Rebrik United States
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Alireza Sheikhattar United States
Gustavo Borges Moreno e Mello Norway
Eric E. Thomson United States
Guido Gigante Italy
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Citations per field, relative to Kenneth W. Latimer
Kenneth W. Latimer · 1×
Citations per year, relative to Kenneth W. Latimer
Kenneth W. Latimer · 1×

Countries citing papers authored by Kenneth W. Latimer

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth W. Latimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth W. Latimer. 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 Kenneth W. Latimer. The network helps show where Kenneth W. Latimer may publish in the future.

Co-authorship network of co-authors of Kenneth W. Latimer

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 3
2 1
3 11
4 16
5 6
6 25
7 29
8 21
9 179
10
Inferring synaptic conductances from spike trains with a biophysically inspired point process model
9
11
Universal models for binary spike patterns using centered Dirichlet processes
4
12 19

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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