Alfred Kume

598 citations
28 papers · 338 indexed · h-index 10
Topics
Morphological variations and asymmetry (17 papers)Bayesian Methods and Mixture Models (8 papers)Genetic and phenotypic traits in livestock (3 papers)

In The Last Decade

Alfred Kume

26 papers receiving 321 citations

Peers

Alfred Kume
Comparison fields: 5 of 62
  • Geometry and Topology 181
  • Artificial Intelligence 128
  • Statistics and Probability 70
  • Computer Vision and Pattern Recognition 64
  • Environmental Engineering 54
Replace Huiling Le with:
Huiling Le United Kingdom
D. Barden United Kingdom
Vic Patrangenaru United States
Xavier Gérard Viennot France
Shogo Kato Japan
Marco Perone-Pacifico Italy
Pierre Calka France
Adrien Marie Legendre
Nicolas Papadakis France
Vincent Rivoirard France
Alfred Kume relative to Huiling Le United Kingdom Huiling Le's profile →
Citations per field
00.5×1.5×
Huiling Le · 1×
Citations per year

Countries citing papers authored by Alfred Kume

Since Specialization
Citations

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

Fields of papers citing papers by Alfred Kume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alfred Kume

This figure shows the co-authorship network connecting the top 25 collaborators of Alfred Kume. A scholar is included among the top collaborators of Alfred Kume 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 Alfred Kume. Alfred Kume 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 6
2 3
3 0
4 1
5 6
6 8
7 5
8 16
9 25
10 2
11 2
12 23
13 14
14 47
15 6
16 25
17 4
18 32
19 8
20 2

About Alfred Kume

Alfred Kume is a scholar working on Geometry and Topology, Statistics and Probability and Applied Mathematics, having authored 28 papers that have together received 338 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (17 papers), Bayesian Methods and Mixture Models (8 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Geometry and Topology (181 citations), Statistics and Probability (70 citations) and Artificial Intelligence (128 citations). Alfred Kume has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Andrew T. A. Wood, Huiling Le, Ian L. Dryden, Stephen G. Walker, Simon Preston, Max Welling, Peter E. Jupp, Enkelejd Hashorva, Lara Fontanella and Luigi Ippoliti. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and Biometrics.

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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