Adrian Dobra

3.5k citations
59 papers · 2.1k · h-index 23

Impact in

Papers in

    • Advanced Causal Inference Techniques 9
    • Statistical Methods and Bayesian Inference 9
    • Statistical Methods and Inference 9
    • Bayesian Modeling and Causal Inference 14
    • Bayesian Methods and Mixture Models 7

Adrian Dobra

55 papers receiving 2.0k citations

Peers

Adrian Dobra
Comparison fields: 5 of 155
  • Statistics and Probability 502
  • Computational Mathematics 36
  • Transportation 134
  • Artificial Intelligence 584
  • Algebra and Number Theory 63
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Citations per field
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Reinhard Laubenbacher · 1×
Citations per year

Countries citing papers authored by Adrian Dobra

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Dobra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004280
2 2005255
3 2005145
4 2007143
5 201594
6 201182
7 201178
8 201578
9 201667
10 201760
11 200059
12 200356
13 201452
14 201050
15 201547
16 201742
17 200931
18 201129
19 200926
20 200423

About Adrian Dobra

Adrian Dobra is a scholar working on Statistics and Probability, Artificial Intelligence, Molecular Biology, Infectious Diseases and Transportation, having authored 59 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (14 papers), Advanced Causal Inference Techniques (9 papers), Statistical Methods and Bayesian Inference (9 papers), Statistical Methods and Inference (9 papers), HIV/AIDS Research and Interventions (7 papers), Bayesian Methods and Mixture Models (7 papers), Gene expression and cancer classification (5 papers) and Urban Transport and Accessibility (5 papers). The work is most often cited by research in Statistics and Probability (502 citations), Computational Mathematics (36 citations), Transportation (134 citations), Artificial Intelligence (584 citations) and Algebra and Number Theory (63 citations). Adrian Dobra has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mike West, Chris Hans, Alex Lenkoski, Beatrix Jones, Frank Tanser, Joseph R. Nevins, Alain Vandormael, Till Bärnighausen, Guang Yao and Stephen E. Fienberg. Their work appears in journals such as PLoS ONE, Journal of Multivariate Analysis, The Annals of Applied Statistics, Journal of the International AIDS Society and BMC Public Health.

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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