J. Kleffe

769 citations
35 papers · 504 · h-index 11

Impact in

Papers in

    • Advanced Statistical Methods and Models 17
    • Statistical Methods and Bayesian Inference 10
    • Statistical Methods and Inference 10
    • Survey Sampling and Estimation Techniques 3
    • Genomics and Phylogenetic Studies 4
    • RNA and protein synthesis mechanisms 3

J. Kleffe

32 papers receiving 424 citations

Peers

J. Kleffe
Comparison fields: 5 of 74
  • Statistics and Probability 270
  • Statistics, Probability and Uncertainty 58
  • Management Science and Operations Research 87
  • Applied Mathematics 55
  • Environmental Engineering 40
Replace Martin Bilodeau with:
Martin Bilodeau Canada
Sudhir Gupta United States
Christopher C. Heyde Australia
Andrej Pázman Slovakia
Tarmo Pukkila Finland
Song-Gui Wang China
Eckhard Liebscher Germany
Olaf Bunke United States
Louis A. Jaeckel United States
Jiunn Tzon Hwang United States
J. Kleffe relative to Martin Bilodeau Canada Martin Bilodeau's profile →
Citations per field
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Citations per year

Countries citing papers authored by J. Kleffe

Since Specialization
Citations

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

Fields of papers citing papers by J. Kleffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside J. Kleffe, 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 J. Kleffe Line = papers co-authored together J. Kleffe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990231
2 199849
3 197423
4 197716
5 199815
6 198115
7 197614
8 199913
9 197513
10 199211
11 198611
12 197410
13 19859
14 19887
15 19867
16 19806
17 19805
18 19775
19 19915
20 19795

About J. Kleffe

J. Kleffe is a scholar working on Statistics and Probability, Molecular Biology, Artificial Intelligence, Applied Mathematics and Management Science and Operations Research, having authored 35 papers that have together received 504 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (17 papers), Statistical Methods and Bayesian Inference (10 papers), Statistical Methods and Inference (10 papers), Genomics and Phylogenetic Studies (4 papers), Statistical and numerical algorithms (4 papers), Survey Sampling and Estimation Techniques (3 papers), RNA and protein synthesis mechanisms (3 papers) and Soil Geostatistics and Mapping (3 papers). The work is most often cited by research in Statistics and Probability (270 citations), Statistics, Probability and Uncertainty (58 citations), Management Science and Operations Research (87 citations), Applied Mathematics (55 citations) and Environmental Engineering (40 citations). J. Kleffe has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include C. Radhakrishna Rao, W. N. Venables, Volker Brendel, Robert Pincus, J. N. K. Rao, Burkhardt Seifert, Wolfgang Vahrson, Roman Zmyślony, Klaus Hermann and B. Lindquist. Their work appears in journals such as Biometrical Journal, Journal of Multivariate Analysis, Journal of the American Statistical Association, Journal of Statistical Planning and Inference and Computer applications in the biosciences.

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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