Garland Culbreth

429 citations
9 papers · 95 indexed · h-index 5
Topics
Complex Systems and Time Series Analysis (4 papers)Complex Network Analysis Techniques (2 papers)Opinion Dynamics and Social Influence (2 papers)

In The Last Decade

Garland Culbreth

8 papers receiving 93 citations

Peers

Garland Culbreth
Comparison fields: 5 of 56
  • Cognitive Neuroscience 28
  • Economics and Econometrics 23
  • Statistical and Nonlinear Physics 21
  • Social Psychology 10
  • Sociology and Political Science 10
Replace Marta Żarczyńska-Buchowiecka with:
Marta Żarczyńska-Buchowiecka Poland
Guo Ru China
Bart De Vylder Belgium
Charles Rathkopf United States
Sean Jewell United States
Pablo León-Villagrá United Kingdom
Ján Mačutek Slovakia
Robert Rosen Canada
Dominique Longin France
Kristina Gulordava Switzerland
Garland Culbreth relative to Marta Żarczyńska-Buchowiecka Poland Marta Żarczyńska-Buchowiecka's profile →
Citations per field
00.5×3.9×
Marta Żarczyńska-Buchowiecka · 1×
Citations per year

Countries citing papers authored by Garland Culbreth

Since Specialization
Citations

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

Fields of papers citing papers by Garland Culbreth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garland Culbreth

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 9
3 6
4 0
5 3
6 18
7 4
8 33
9 21

About Garland Culbreth

Garland Culbreth is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Economics and Econometrics, having authored 9 papers that have together received 95 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (4 papers), Complex Network Analysis Techniques (2 papers) and Opinion Dynamics and Social Influence (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (21 citations), Cognitive Neuroscience (28 citations) and Modeling and Simulation (5 citations). Garland Culbreth has collaborated with scholars based in United States, Chile and United Kingdom. Frequent co-authors include Paolo Grigolini, Bruce J. West, Mauro Bologna, Robin Dunbar, Giovanni Francesco Massari, David Cornforth, Herbert F. Jelinek, Caroline Purcell, Sarah Wulf Hanson and Damian Santomauro. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Frontiers in 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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