Nibia Aires

549 total citations
12 papers, 418 citations indexed

About

Nibia Aires is a scholar working on Statistics and Probability, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nibia Aires has authored 12 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 3 papers in Artificial Intelligence and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nibia Aires's work include Statistical Methods and Inference (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Obesity, Physical Activity, Diet (2 papers). Nibia Aires is often cited by papers focused on Statistical Methods and Inference (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Obesity, Physical Activity, Diet (2 papers). Nibia Aires collaborates with scholars based in Sweden and United Kingdom. Nibia Aires's co-authors include Dag S. Thelle, Randi Selmer, Elisabeth Strandhagen, Annika Rosengren, Georgios Lappas, Lauren Lissner, Christina Berg, Alicja Wolk, Kjell Torén and Gunnar Norkrans and has published in prestigious journals such as American Journal of Clinical Nutrition, European Journal of Epidemiology and International Journal of Molecular Medicine.

In The Last Decade

Nibia Aires

12 papers receiving 400 citations

Peers

Nibia Aires
Rotraut Schoop Switzerland
D. L. van der A Netherlands
David McWilliam Australia
Ancel Keys United States
Dong Yi China
Rotraut Schoop Switzerland
Nibia Aires
Citations per year, relative to Nibia Aires Nibia Aires (= 1×) peers Rotraut Schoop

Countries citing papers authored by Nibia Aires

Since Specialization
Citations

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

Fields of papers citing papers by Nibia Aires

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nibia Aires

This figure shows the co-authorship network connecting the top 25 collaborators of Nibia Aires. A scholar is included among the top collaborators of Nibia Aires 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 Nibia Aires. Nibia Aires is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Berg, Christina, Georgios Lappas, Elisabeth Strandhagen, et al.. (2008). Food patterns and cardiovascular disease risk factors: The Swedish INTERGENE research program. American Journal of Clinical Nutrition. 88(2). 289–297. 123 indexed citations
2.
Berg, Christina, Lauren Lissner, Nibia Aires, et al.. (2005). Trends in blood lipid levels, blood pressure, alcohol and smoking habits from 1985 to 2002: results from INTERGENE and GOT-MONICA. European Journal of Cardiovascular Prevention & Rehabilitation. 12(2). 115–125. 29 indexed citations
3.
Ekman, Inger, Kurt Boman, Mona Olofsson, Nibia Aires, & Karl Swedberg. (2005). Gender Makes a Difference in the Description of Dyspnoea in Patients with Chronic Heart Failure. European Journal of Cardiovascular Nursing. 4(2). 117–121. 28 indexed citations
4.
Strandhagen, Elisabeth, Henrik Zetterberg, Nibia Aires, et al.. (2004). The apolipoprotein E polymorphism and the cholesterol-raising effect of coffee.. Lipids in Health and Disease. 3(1). 26–26. 8 indexed citations
5.
6.
Strandhagen, Elisabeth, Henrik Zetterberg, Nibia Aires, et al.. (2004). The methylenetetrahydrofolate reductase C677T polymorphism is a major determinant of coffee-induced increase of plasma homocysteine: A randomized placebo controlled study. International Journal of Molecular Medicine. 13(6). 811–5. 25 indexed citations
7.
Aires, Nibia & Bengt Rosén. (2004). On inclusion probabilities and relative estimator bias for Pareto πps sampling. Journal of Statistical Planning and Inference. 128(2). 543–567. 5 indexed citations
9.
Lagging, Martin, Johan Westin, Elisabeth Svensson, et al.. (2002). Progression of fibrosis in untreated patients with hepatitis C virus infection. Liver International. 22(2). 136–144. 55 indexed citations
10.
Aires, Nibia, Johan Jonasson, & Olle Nerman. (2001). Order Sampling Design with Prescribed Inclusion Probabilities. Scandinavian Journal of Statistics. 29(1). 183–187. 3 indexed citations
11.
Aires, Nibia. (2000). Comparisons between conditional Poisson sampling and Pareto πps sampling designs. Journal of Statistical Planning and Inference. 88(1). 133–147. 21 indexed citations
12.
Aires, Nibia. (1999). Algorithms to Find Exact Inclusion Probabilities for Conditional Poisson Sampling and Pareto πps Sampling Designs. Methodology And Computing In Applied Probability. 1(4). 457–469. 23 indexed citations

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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