Julia Mortera

1.5k citations
52 papers · 1.0k · h-index 18

Impact in

    • Statistical Methods and Bayesian Inference
    • Advanced Statistical Methods and Models
    • Statistical Methods and Inference
  • Genetics top 5%
    • Forensic and Genetic Research
    • Genetic diversity and population structure

Papers in

    • Forensic and Genetic Research 22
    • Genetic diversity and population structure 4
    • Statistical Methods and Bayesian Inference 5
    • Advanced Statistical Methods and Models 4
    • Statistical Distribution Estimation and Applications 4

Julia Mortera

49 papers receiving 963 citations

Peers

Julia Mortera
Comparison fields: 5 of 109
  • Statistics and Probability 180
  • Genetics 527
  • Management Science and Operations Research 153
  • General Decision Sciences 19
  • Artificial Intelligence 335
Replace Paolo Garbolino with:
Paolo Garbolino Italy
J.A. Lambert United Kingdom
Colin Aitken United Kingdom
Julio Michael Stern Brazil
C.M. Triggs New Zealand
R. G. Cowell United Kingdom
Stefano Young United States
Tacha Hicks Switzerland
Silvia Bozza Italy
Antonio Lijoi Italy
Julia Mortera relative to Paolo Garbolino Italy Paolo Garbolino's profile →
Citations per field
00.5×2×4×6.3×
Paolo Garbolino · 1×
Citations per year

Countries citing papers authored by Julia Mortera

Since Specialization
Citations

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

Fields of papers citing papers by Julia Mortera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201493
2 200291
3 200385
4 199981
5 199560
6 200158
7 200656
8 199650
9 200647
10 201043
11 200740
12 199131
13 199929
14 200725
15 200223
16 200821
17 197620
18 199118
19 201715
20 200111

About Julia Mortera

Julia Mortera is a scholar working on Genetics, Statistics and Probability, Artificial Intelligence, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Forensic and Genetic Research (22 papers), Bayesian Modeling and Causal Inference (14 papers), Bayesian Methods and Mixture Models (13 papers), Statistical Methods and Bayesian Inference (5 papers), Advanced Statistical Methods and Models (4 papers), Statistical Distribution Estimation and Applications (4 papers), Genetic diversity and population structure (4 papers) and Opinion Dynamics and Social Influence (3 papers). The work is most often cited by research in Statistics and Probability (180 citations), Genetics (527 citations), Management Science and Operations Research (153 citations), General Decision Sciences (19 citations) and Artificial Intelligence (335 citations). Julia Mortera has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include A. P. Dawid, Steffen Lilholt Lauritzen, R. G. Cowell, James O. Berger, Vincenzo Lorenzo Pascali, Paola Vicard, Morris H. DeGroot, Peter J. Green, Mark J. Schervish and Robert L. Winkler. Their work appears in journals such as Forensic Science International Genetics, Forensic Science International, Law Probability and Risk, Journal of Statistical Planning and Inference and Journal of the Royal Statistical Society Series C (Applied Statistics).

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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