John K. Chapin

8.4k citations
85 papers · 6.3k indexed · 2 hit papers · h-index 34
Topics
Neural dynamics and brain function (44 papers)Neuroscience and Neural Engineering (26 papers)Neuroscience and Neuropharmacology Research (23 papers)

In The Last Decade

John K. Chapin

83 papers receiving 6.0k citations

Hit Papers

Real-time prediction of hand trajectory by ensembles of c...1999202620082017200019992505007501000

Peers

John K. Chapin
Comparison fields: 5 of 146
  • Cognitive Neuroscience 4.7k
  • Cellular and Molecular Neuroscience 4.1k
  • Biomedical Engineering 879
  • Electrical and Electronic Engineering 638
  • Neurology 499
Replace H. H. Kornhuber with:
H. H. Kornhuber Germany
Hubert R. Dinse Germany
Steven P. Wise United States
Mathew E. Diamond Italy
Andreas S. Tolias United States
I. Darian-Smith Australia
Michael Recce United States
Mark Laubach United States
M Augath Germany
István Ulbert Hungary
John K. Chapin relative to H. H. Kornhuber Germany H. H. Kornhuber's profile →
Citations per field
00.5×10×15.2×
H. H. Kornhuber · 1×
Citations per year

Countries citing papers authored by John K. Chapin

Since Specialization
Citations

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

Fields of papers citing papers by John K. Chapin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John K. Chapin. 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 John K. Chapin. The network helps show where John K. Chapin may publish in the future.

Co-authorship network of co-authors of John K. Chapin

This figure shows the co-authorship network connecting the top 25 collaborators of John K. Chapin. A scholar is included among the top collaborators of John K. Chapin 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 John K. Chapin. John K. Chapin 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
#WorkIndexed citations
1 64
2 49
3 42
4 23
5 31
6 8
7 18
8
Real-time control of a robot arm using simultaneously recorded neurons in the motor cortexbreakdown →
789
9 156
10 29
11 32
12 12
13 12
14 18
15 110
16 26
17 30
18 51
19 7
20 123

About John K. Chapin

John K. Chapin is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 85 papers that have together received 6.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (44 papers), Neuroscience and Neural Engineering (26 papers) and Neuroscience and Neuropharmacology Research (23 papers). The work is most often cited by research in Cognitive Neuroscience (4.7k citations), Cellular and Molecular Neuroscience (4.1k citations) and Neurology (499 citations). John K. Chapin has collaborated with scholars based in United States, Brazil and South Korea. Frequent co-authors include Miguel A. L. Nicolelis, Karen A. Moxon, Donald J. Woodward, Chia‐Sheng Lin, Rick C.S. Lin, Ronald S. Markowitz, Mark Laubach, Luiz Antonio Baccalá, Sean Biggs and Mandayam A. Srinivasan. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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