Julia Mortera

1.5k citations
42 papers · 927 · 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

    • Bayesian Modeling and Causal Inference 13
    • Bayesian Methods and Mixture Models 13
    • Forensic and Genetic Research 17
    • Genetic diversity and population structure 4

Julia Mortera

41 papers receiving 862 citations

Peers

Julia Mortera
Comparison fields: 5 of 109
  • Statistics and Probability 177
  • Genetics 475
  • General Decision Sciences 20
  • Management Science and Operations Research 134
  • Artificial Intelligence 317
Replace Colin Aitken with:
Colin Aitken United Kingdom
J.A. Lambert United Kingdom
Paolo Garbolino Italy
Julio Michael Stern Brazil
C.M. Triggs New Zealand
Antonio Lijoi Italy
Igor Prünster Italy
John T. Ormerod Australia
Antonio Machı̀ Italy
Silvia Bozza Switzerland
Julia Mortera relative to Colin Aitken United Kingdom Colin Aitken's profile →
Citations per field
00.5×
Colin Aitken · 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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200286
2 201485
3 200378
4 199977
5 199557
6 200651
7 200150
8 200647
9 199646
10 200741
11 201038
12 199134
13 199925
14 200821
15 200220
16 197620
17 200719
18 199117
19 201712
20
202111

About Julia Mortera

Julia Mortera is a scholar working on Artificial Intelligence, Genetics, Statistics and Probability, Statistical and Nonlinear Physics and Molecular Biology, having authored 42 papers that have together received 927 indexed citations. Recurring topics across this work include Forensic and Genetic Research (17 papers), Bayesian Modeling and Causal Inference (13 papers), Bayesian Methods and Mixture Models (13 papers), Statistical Methods and Bayesian Inference (5 papers), Genetic diversity and population structure (4 papers), Advanced Statistical Methods and Models (3 papers), Complex Network Analysis Techniques (3 papers) and Opinion Dynamics and Social Influence (3 papers). The work is most often cited by research in Statistics and Probability (177 citations), Genetics (475 citations), General Decision Sciences (20 citations), Management Science and Operations Research (134 citations) and Artificial Intelligence (317 citations). Julia Mortera has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include A. P. Dawid, Steffen L. Lauritzen, R. G. Cowell, James O. Berger, Vincenzo L. Pascali, Paola Vicard, Morris H. DeGroot, Peter J. Green, Robert L. Winkler and Mark J. Schervish. 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 American Statistical Association.

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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