Patrick Carr

1.1k citations
32 papers · 936 · h-index 16

Impact in

Papers in

Patrick Carr

31 papers receiving 896 citations

Peers

Patrick Carr
Comparison fields: 5 of 92
  • Geochemistry and Petrology 157
  • Developmental Neuroscience 76
  • Geophysics 259
  • Cellular and Molecular Neuroscience 305
  • Endocrine and Autonomic Systems 102
Replace Jean‐Luc Morel with:
Jean‐Luc Morel France
Ian M. MacDonald Canada
Philip R. Williams United States
Takao Ichimura Japan
Paola Tognini Italy
Toshihisa Hatta Japan
Kazuo Kawasaki Japan
Xinshe Liu China
Donald A. Keefer United States
P. M. Rees United Kingdom
Patrick Carr relative to Jean‐Luc Morel France Jean‐Luc Morel's profile →
Citations per field
00.5×4.5×
Jean‐Luc Morel · 1×
Citations per year

Countries citing papers authored by Patrick Carr

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969138
2 2000102
3 198982
4 199876
5 202059
6 198957
7 199550
8 199349
9 201643
10 201737
11 196928
12 199828
13 199927
14 197126
15 202124
16 199417
17 202013
18 200213
19 202210
20 199110

About Patrick Carr

Patrick Carr is a scholar working on Geophysics, Cellular and Molecular Neuroscience, Artificial Intelligence, Physiology and Environmental Engineering, having authored 32 papers that have together received 936 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (11 papers), Geochemistry and Geologic Mapping (9 papers), Pain Mechanisms and Treatments (6 papers), earthquake and tectonic studies (4 papers), Groundwater flow and contamination studies (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Water Quality and Resources Studies (3 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Geochemistry and Petrology (157 citations), Developmental Neuroscience (76 citations), Geophysics (259 citations), Cellular and Molecular Neuroscience (305 citations) and Endocrine and Autonomic Systems (102 citations). Patrick Carr has collaborated with scholars based in United States, Canada and France. Frequent co-authors include J.I. Nagy, Larry M. Jordan, Brian R. Noga, Takenori Yamamoto, Aihua Huang, K.G. Baimbridge, Robert E.W. Fyffe, M. D. Norman, Vickie C. Bennett and Francisco J. Álvarez. Their work appears in journals such as Chemical Geology, Brain Research, Water Resources Research, The FASEB Journal and Neuroreport.

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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