Jeffrey D. Banfield

2.8k citations
10 papers · 1.8k indexed · 1 hit paper · h-index 8
Topics
Arctic and Antarctic ice dynamics (5 papers)Cryospheric studies and observations (5 papers)Climate change and permafrost (3 papers)
Partner nations
United States

In The Last Decade

Jeffrey D. Banfield

9 papers receiving 1.7k citations

Hit Papers

Model-Based Gaussian and Non-Gaussian Clustering1993202620042015199350010001.5k

Peers

Jeffrey D. Banfield
Comparison fields: 5 of 165
  • Artificial Intelligence 950
  • Statistics and Probability 352
  • Computer Vision and Pattern Recognition 249
  • Signal Processing 229
  • Molecular Biology 195
Replace Christophe Biernacki with:
Christophe Biernacki France
K. E. Basford Australia
Bill Fulkerson United States
Jonas Peters Germany
Tim Hesterberg United States
Lucien M. Le Cam United Kingdom
Yuhong Yang United States
S. Kocherlakota Canada
John I. Marden United States
Ray D. Nelson United States
Jeffrey D. Banfield relative to Christophe Biernacki France Christophe Biernacki's profile →
Citations per field
00.5×1.5×
Christophe Biernacki · 1×
Citations per year

Countries citing papers authored by Jeffrey D. Banfield

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey D. Banfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey D. Banfield. 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 Jeffrey D. Banfield. The network helps show where Jeffrey D. Banfield may publish in the future.

Co-authorship network of co-authors of Jeffrey D. Banfield

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 55
3 10
4 7
5
Model-Based Gaussian and Non-Gaussian Clusteringbreakdown →
1506
6 129
7 11
8 46
9
Stopping the Gibbs Sampler,the Use of Morphology,and Other Issues in Spatial Statistics (Bayesian image restoration,with two applications in spatial statistics) -- (Discussion)
22
10 23

About Jeffrey D. Banfield

Jeffrey D. Banfield is a scholar working on Atmospheric Science, Forestry and Oceanography, having authored 10 papers that have together received 1.8k indexed citations. Recurring topics across this work include Arctic and Antarctic ice dynamics (5 papers), Cryospheric studies and observations (5 papers) and Climate change and permafrost (3 papers). The work is most often cited by research in Statistics and Probability (352 citations), Artificial Intelligence (950 citations) and Signal Processing (229 citations). Jeffrey D. Banfield has collaborated with scholars based in United States. Frequent co-authors include Adrian E. Raftery, Warren W. Esty, G. F. Cunningham, R. Kwok and Andrew W. Lenssen. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and IEEE Transactions on Geoscience and Remote Sensing.

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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