Diek W. Wheeler

1.5k total citations
33 papers, 753 citations indexed

About

Diek W. Wheeler is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Diek W. Wheeler has authored 33 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 22 papers in Cellular and Molecular Neuroscience and 7 papers in Neurology. Recurrent topics in Diek W. Wheeler's work include Neural dynamics and brain function (21 papers), Neuroscience and Neuropharmacology Research (16 papers) and Memory and Neural Mechanisms (9 papers). Diek W. Wheeler is often cited by papers focused on Neural dynamics and brain function (21 papers), Neuroscience and Neuropharmacology Research (16 papers) and Memory and Neural Mechanisms (9 papers). Diek W. Wheeler collaborates with scholars based in United States, Germany and Finland. Diek W. Wheeler's co-authors include William C. Schieve, Giorgio A. Ascoli, David J. Hamilton, Alexander O. Komendantov, Christopher L. Rees, Charise M. White, John P. Horn, Wolf Singer, Danko Nikolić and Paul H. M. Kullmann and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Diek W. Wheeler

31 papers receiving 745 citations

Peers

Diek W. Wheeler
Comparison fields: 5 of 76
  • Cognitive Neuroscience 438
  • Cellular and Molecular Neuroscience 376
  • Computer Networks and Communications 170
  • Statistical and Nonlinear Physics 166
  • Molecular Biology 107
Replace Sungho Hong with:
Sungho Hong Japan
Sarah F. Muldoon United States
Marc Goodfellow United Kingdom
Duane Q. Nykamp United States
Jorge F. Mejías Netherlands
Lyle Muller Canada
Vladislav Volman United States
Irina Erchova United Kingdom
Guosheng Yi China
Jean‐Philippe Thivierge Canada
Sungho Hong Japan View profile →
Citations per field, relative to Diek W. Wheeler
Diek W. Wheeler · 1×
Citations per year, relative to Diek W. Wheeler
Diek W. Wheeler · 1×

Countries citing papers authored by Diek W. Wheeler

Since Specialization
Citations

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

Fields of papers citing papers by Diek W. Wheeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diek W. Wheeler

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 2
5 7
6 9
7 21
8 7
9 23
10 13
11 22
12 32
13 19
14 20
15 3
16 14
17 66
18
Coherence, Memory and Conditioning
1
19 3
20
Nonlinear behavior in small neural systems
1

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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