Elja Arjas

4.0k citations
117 papers · 2.6k · h-index 29

Impact in

    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference
    • Statistical Distribution Estimation and Applications
  • Genetics top 2%
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock
    • Genetic diversity and population structure

Papers in

Elja Arjas

113 papers receiving 2.4k citations

Peers

Elja Arjas
Comparison fields: 5 of 165
  • Statistics and Probability 722
  • Genetics 740
  • Management Science and Operations Research 305
  • Ecological Modeling 92
  • Statistics, Probability and Uncertainty 144
Replace Mary Kathryn Cowles with:
Mary Kathryn Cowles United States
Eric Renshaw United Kingdom
Scott A. Sisson Australia
Anders Brix United Kingdom
Louis‐Paul Rivest Canada
G. P. Patil United States
Lynn Kuo United States
Clarice Garcia Borges Demétrio Brazil
J. N. Darroch Australia
Dennis D. Boos United States
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Citations per field
00.5×4.3×
Mary Kathryn Cowles · 1×
Citations per year

Countries citing papers authored by Elja Arjas

Since Specialization
Citations

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

Fields of papers citing papers by Elja Arjas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Elja Arjas, 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 Elja Arjas Line = papers co-authored together Elja Arjas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007349
2 1998199
3 2016100
4 198892
5 199992
6 200886
7 200068
8 198965
9 200263
10 200059
11 199855
12 199650
13 198150
14 198149
15 200546
16 200443
17 200143
18 200837
19 199337
20 198436

About Elja Arjas

Elja Arjas is a scholar working on Statistics and Probability, Artificial Intelligence, Genetics, Mathematical Physics and Management Science and Operations Research, having authored 117 papers that have together received 2.6k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (27 papers), Statistical Methods and Inference (21 papers), Bayesian Methods and Mixture Models (19 papers), Statistical Distribution Estimation and Applications (15 papers), Stochastic processes and statistical mechanics (11 papers), Probability and Risk Models (8 papers), Probabilistic and Robust Engineering Design (8 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). The work is most often cited by research in Statistics and Probability (722 citations), Genetics (740 citations), Management Science and Operations Research (305 citations), Ecological Modeling (92 citations) and Statistics, Probability and Uncertainty (144 citations). Elja Arjas has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Mikko J. Sillanpää, Jukka Corander, Jukka Sirén, Juha Heikkinen, Ilkka Norros, Olli Saarela, Dario Gasbarra, Kari Auranen, Aino K. Takala and Terence P. Speed. Their work appears in journals such as Scandinavian Journal of Statistics, Advances in Applied Probability, Statistics in Medicine, Journal of the American Statistical Association and Mathematics of Operations Research.

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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