Steven R. Green

1.1k citations
7 papers · 851 indexed · h-index 6
Topics
Face Recognition and Perception (3 papers)Neural and Behavioral Psychology Studies (2 papers)Stress Responses and Cortisol (1 paper)
Partner nations
United States

In The Last Decade

Steven R. Green

7 papers receiving 838 citations

Peers

Steven R. Green
Comparison fields: 5 of 91
  • Cognitive Neuroscience 439
  • Neurology 189
  • Cellular and Molecular Neuroscience 174
  • Experimental and Cognitive Psychology 173
  • Clinical Psychology 141
Replace Jérôme Redouté with:
Jérôme Redouté France
Motoaki Nakamura Japan
Michael Adamaszek Germany
Maurício H. Serpa Brazil
Michihiko Koeda Japan
Dorothea Hämmerer Germany
Kelly R. Bijanki United States
Yujiro Yoshihara Japan
Clara Freeman United States
Jennifer K. Forsyth United States
Steven R. Green relative to Jérôme Redouté France Jérôme Redouté's profile →
Citations per field
00.5×1.5×
Jérôme Redouté · 1×
Citations per year

Countries citing papers authored by Steven R. Green

Since Specialization
Citations

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

Fields of papers citing papers by Steven R. Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven R. Green. 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 Steven R. Green. The network helps show where Steven R. Green may publish in the future.

Co-authorship network of co-authors of Steven R. Green

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 2
2 229
3
Hope for New Jersey's city hospitals: the Camden Initiative.
26
4 263
5 71
6 6
7 254

About Steven R. Green

Steven R. Green is a scholar working on Behavioral Neuroscience, Cognitive Neuroscience and Neurology, having authored 7 papers that have together received 851 indexed citations. Recurring topics across this work include Face Recognition and Perception (3 papers), Neural and Behavioral Psychology Studies (2 papers) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Neurology (189 citations), Cognitive Neuroscience (439 citations) and Biological Psychiatry (34 citations). Steven R. Green has collaborated with scholars based in United States. Frequent co-authors include Jennifer N. Felder, Gabriel S. Dichter, Monique Ernst, James W. Bodfish, Thomas R. Lynch, Alison Rittenberg, Joshua Bizzell, Noah J. Sasson, Moria J. Smoski and Serge Przedborski. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

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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