Maurice J. Chacron

5.9k citations
157 papers · 4.4k indexed · h-index 37
Topics
Neural dynamics and brain function (92 papers)Fish biology, ecology, and behavior (61 papers)Neurobiology and Insect Physiology Research (39 papers)

In The Last Decade

Maurice J. Chacron

149 papers receiving 4.3k citations

Peers

Maurice J. Chacron
Comparison fields: 5 of 121
  • Cognitive Neuroscience 3.1k
  • Nature and Landscape Conservation 1.6k
  • Cellular and Molecular Neuroscience 1.5k
  • Statistical and Nonlinear Physics 997
  • Electrical and Electronic Engineering 755
Replace Fabrizio Gabbiani with:
Fabrizio Gabbiani United States
Leonard Maler Canada
Henri Korn France
Donald S. Faber United States
Allen I. Selverston United States
Joseph Bastian United States
Mark Nelson United States
Brent Doiron United States
Curtis C. Bell United States
T. H. Bullock United States
Maurice J. Chacron relative to Fabrizio Gabbiani United States Fabrizio Gabbiani's profile →
Citations per field
00.5×4.5×
Fabrizio Gabbiani · 1×
Citations per year

Countries citing papers authored by Maurice J. Chacron

Since Specialization
Citations

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

Fields of papers citing papers by Maurice J. Chacron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maurice J. Chacron. 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 Maurice J. Chacron. The network helps show where Maurice J. Chacron may publish in the future.

Co-authorship network of co-authors of Maurice J. Chacron

This figure shows the co-authorship network connecting the top 25 collaborators of Maurice J. Chacron. A scholar is included among the top collaborators of Maurice J. Chacron 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 Maurice J. Chacron. Maurice J. Chacron 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 1
2 0
3 11
4 4
5 14
6 13
7 1
8 7
9 15
10 13
11 36
12 18
13 8
14 20
15 14
16 18
17 19
18 26
19 40
20 23

About Maurice J. Chacron

Maurice J. Chacron is a scholar working on Algebra and Number Theory, Cognitive Neuroscience and Nature and Landscape Conservation, having authored 157 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (92 papers), Fish biology, ecology, and behavior (61 papers) and Neurobiology and Insect Physiology Research (39 papers). The work is most often cited by research in Cognitive Neuroscience (3.1k citations), Nature and Landscape Conservation (1.6k citations) and Cellular and Molecular Neuroscience (1.5k citations). Maurice J. Chacron has collaborated with scholars based in Canada, United States and Ecuador. Frequent co-authors include Leonard Maler, André Longtin, Joseph Bastian, Kathleen E. Cullen, Michael G. Metzen, Benjamin Lindner, Brent Doiron, Jérôme Carriot, Mohsen Jamali and Rüdiger Krahe. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

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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