John A. Bunge

439 total citations
12 papers, 303 citations indexed

About

John A. Bunge is a scholar working on Artificial Intelligence, Molecular Biology and Mathematical Physics. According to data from OpenAlex, John A. Bunge has authored 12 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Mathematical Physics. Recurrent topics in John A. Bunge's work include Bayesian Methods and Mixture Models (6 papers), Stochastic processes and statistical mechanics (3 papers) and Genomics and Phylogenetic Studies (3 papers). John A. Bunge is often cited by papers focused on Bayesian Methods and Mixture Models (6 papers), Stochastic processes and statistical mechanics (3 papers) and Genomics and Phylogenetic Studies (3 papers). John A. Bunge collaborates with scholars based in United States, Australia and Puerto Rico. John A. Bunge's co-authors include Stuart P. Donachie, Federico M. Lauro, Andrew Bissett, Mark V. Brown, Gayle K. Philip, Jed A. Fuhrman, Matthew C. Smith, Haikady N. Nagaraja, Javier del Campo and Massimo C. Pernice and has published in prestigious journals such as The ISME Journal, BMC Genomics and Computational Statistics & Data Analysis.

In The Last Decade

John A. Bunge

12 papers receiving 302 citations

Peers

John A. Bunge
Comparison fields: 5 of 63
  • Ecology 212
  • Molecular Biology 159
  • Oceanography 74
  • Environmental Chemistry 59
  • Plant Science 27
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Mark Hoebeke France
Thomas G. Jephcott Australia
Zaid McKie‐Krisberg United States
Allan Kamau Saudi Arabia
Jianlin Zhu China
Silvia H. Coria Argentina
Dolma Michellod Germany
Christoph Feenders Germany
Tengteng Zhang China
Christian D. Frazar United States
Mark Hoebeke France View profile →
Citations per field, relative to John A. Bunge
John A. Bunge · 1×
Citations per year, relative to John A. Bunge
John A. Bunge · 1×

Countries citing papers authored by John A. Bunge

Since Specialization
Citations

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

Fields of papers citing papers by John A. Bunge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Bunge. 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 John A. Bunge. The network helps show where John A. Bunge may publish in the future.

Co-authorship network of co-authors of John A. Bunge

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 21
2 4
3 44
4 20
5 182
6 4
7 5
8 1
9 6
10 14
11 1
12
Distribution theory for record statistics from random record models /
1

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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