Philip M. Groves

7.8k citations
73 papers · 6.0k indexed · 2 hit papers · h-index 35
Topics
Neuroscience and Neuropharmacology Research (37 papers)Neural dynamics and brain function (20 papers)Neurotransmitter Receptor Influence on Behavior (19 papers)
Partner nations
United StatesSouth Korea

In The Last Decade

Philip M. Groves

73 papers receiving 5.7k citations

Hit Papers

Habituation: A dual-process theory.19702026198820071970197550010001.5k

Peers

Philip M. Groves
Comparison fields: 5 of 176
  • Cellular and Molecular Neuroscience 3.7k
  • Cognitive Neuroscience 2.2k
  • Molecular Biology 1.4k
  • Neurology 810
  • Social Psychology 520
Replace Ivan Divac with:
Ivan Divac Denmark
Donald J. Woodward United States
H. Enger Rosvold United States
Patricia S. Goldman United States
A.R. Cools Netherlands
E. Eidelberg United States
Dan McIntyre Canada
Philip Teitelbaum United States
Pieter Voorn Netherlands
T. Ljungberg Sweden
Philip M. Groves relative to Ivan Divac Denmark Ivan Divac's profile →
Citations per field
00.5×2.7×
Ivan Divac · 1×
Citations per year

Countries citing papers authored by Philip M. Groves

Since Specialization
Citations

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

Fields of papers citing papers by Philip M. Groves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip M. Groves. 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 Philip M. Groves. The network helps show where Philip M. Groves may publish in the future.

Co-authorship network of co-authors of Philip M. Groves

This figure shows the co-authorship network connecting the top 25 collaborators of Philip M. Groves. A scholar is included among the top collaborators of Philip M. Groves 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 Philip M. Groves. Philip M. Groves 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 31
2 8
3 99
4 9
5 15
6 76
7 81
8 4
9 3
10 96
11 45
12 23
13 48
14 17
15 37
16
Design for health care
2
17 19
18 2
19 105
20 22

About Philip M. Groves

Philip M. Groves is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biological Psychiatry, having authored 73 papers that have together received 6.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (37 papers), Neural dynamics and brain function (20 papers) and Neurotransmitter Receptor Influence on Behavior (19 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.7k citations), Cognitive Neuroscience (2.2k citations) and Behavioral Neuroscience (283 citations). Philip M. Groves has collaborated with scholars based in United States and South Korea. Frequent co-authors include Richard F. Thompson, Charles J. Wilson, Stephen J. Young, George V. Rebec, James M. Tepper, Janice M. Juraska, Lawrence J. Ryan, Maryann E. Martone, Jean C. Linder and David S. Segal. Their work appears in journals such as Science, Psychological Review and PLANT PHYSIOLOGY.

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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