Kiên Kiêu

2.4k citations
30 papers · 1.9k · 1 hit paper · h-index 14

Impact in

Papers in

Kiên Kiêu

29 papers receiving 1.9k citations

Kiên Kiêu's Hit Papers

The efficiency of systematic sampling in stereology — reconsidered 1999 · 1.1k citations
1.1k0+9+18Years since publication2505007501000

Peers

Kiên Kiêu
Comparison fields: 5 of 150
  • Developmental Neuroscience 156
  • Applied Mathematics 279
  • Behavioral Neuroscience 71
  • Neurology 151
  • Cellular and Molecular Neuroscience 316
Replace Peter V. Bagger with:
Peter V. Bagger Denmark
Stephen M. Evans New Zealand
K. S. Bedi United Kingdom
Matthew Reed United Kingdom
Knud Nor Nielsen Denmark
Konrad Sandau Germany
Edmund M. Glaser United States
Lise Korbo Denmark
H Haug Germany
R.W.H. Verwer Netherlands
Kiên Kiêu relative to Peter V. Bagger Denmark Peter V. Bagger's profile →
Citations per field
00.5×2.9×
Peter V. Bagger · 1×
Citations per year

Countries citing papers authored by Kiên Kiêu

Since Specialization
Citations

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

Fields of papers citing papers by Kiên Kiêu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kiên Kiêu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kiên Kiêu Line = papers co-authored together Kiên Kiêu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The efficiency of systematic sampling in stereology — reconsidered
Hit paper breakdown →
19991124
2 1998188
3 2011139
4 201082
5 199960
6 201058
7 201448
8 201426
9 200925
10 200820
11 199318
12 200818
13 199816
14 201313
15 200610
16 19946
17 20186
18 19995
19 19945
20 20114

About Kiên Kiêu

Kiên Kiêu is a scholar working on Applied Mathematics, Molecular Biology, Plant Science, Geometry and Topology and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 1.9k indexed citations. Recurring topics across this work include Point processes and geometric inequalities (12 papers), Morphological variations and asymmetry (7 papers), Digital Image Processing Techniques (5 papers), Plant Molecular Biology Research (4 papers), Genomics and Chromatin Dynamics (4 papers), Plant Reproductive Biology (3 papers), Chromosomal and Genetic Variations (3 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Developmental Neuroscience (156 citations), Applied Mathematics (279 citations), Behavioral Neuroscience (71 citations), Neurology (151 citations) and Cellular and Molecular Neuroscience (316 citations). Kiên Kiêu has collaborated with scholars based in France, Morocco and Niger. Frequent co-authors include Eva B. Vedel Jensen, H. J. G. Gundersen, Jens Nielsen, David Legland, Marie‐Françoise Devaux, Patrick Laufs, Jan Traas, Claudia Jonak, Olivier Grandjean and Jacques Istas. Their work appears in journals such as Advances in Applied Probability, Journal of Microscopy, The Plant Cell, Journal of Statistical Planning and Inference and Mathematische Nachrichten.

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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