Sara López‐Pintado

1.9k citations
33 papers · 1.2k indexed · h-index 15
Topics
Advanced Statistical Methods and Models (10 papers)Advanced Statistical Process Monitoring (8 papers)Statistical Methods and Inference (7 papers)
Partner nations
United StatesSpainCanada

In The Last Decade

Sara López‐Pintado

32 papers receiving 1.1k citations

Peers

Sara López‐Pintado
Comparison fields: 5 of 135
  • Statistics and Probability 388
  • Molecular Biology 191
  • Statistics, Probability and Uncertainty 174
  • Physiology 132
  • Health, Toxicology and Mutagenesis 111
Replace M. C. K. Tweedie with:
M. C. K. Tweedie United Kingdom
Xuming He United States
Alan J. Gross United States
Annie Qu United States
Juha Karvanen Finland
Bert C. van Zomeren Netherlands
Valeria Vitelli Norway
Jian Qing Shi China
Malka Gorfine Israel
Douglas G. Simpson United States
Sara López‐Pintado relative to M. C. K. Tweedie United Kingdom M. C. K. Tweedie's profile →
Citations per field
00.5×7.4×
M. C. K. Tweedie · 1×
Citations per year

Countries citing papers authored by Sara López‐Pintado

Since Specialization
Citations

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

Fields of papers citing papers by Sara López‐Pintado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara López‐Pintado. 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 Sara López‐Pintado. The network helps show where Sara López‐Pintado may publish in the future.

Co-authorship network of co-authors of Sara López‐Pintado

This figure shows the co-authorship network connecting the top 25 collaborators of Sara López‐Pintado. A scholar is included among the top collaborators of Sara López‐Pintado based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sara López‐Pintado. Sara López‐Pintado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 6
5 1
6 8
7 3
8 21
9 124
10 8
11 41
12 94
13 84
14 56
15 6
16 52
17 83
18 27
19 14
20 322

About Sara López‐Pintado

Sara López‐Pintado is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Speech and Hearing, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (10 papers), Advanced Statistical Process Monitoring (8 papers) and Statistical Methods and Inference (7 papers). The work is most often cited by research in Statistics and Probability (388 citations), Statistics, Probability and Uncertainty (174 citations) and Ophthalmology (76 citations). Sara López‐Pintado has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Juan Romo, Jimmy Duong, Ying Sun, Marc G. Genton, Ying Wei, Stephen H. Tsang, Courtney Coker, Swarnali Acharyya, Robert B. Mellins and Inge F. Goldstein. Their work appears in journals such as Nature Medicine, Journal of the American Statistical Association and PLoS ONE.

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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