Paul Blomstedt

1.1k total citations
20 papers, 533 citations indexed

About

Paul Blomstedt is a scholar working on Artificial Intelligence, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Paul Blomstedt has authored 20 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Pediatrics, Perinatology and Child Health and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Paul Blomstedt's work include Birth, Development, and Health (5 papers), Bayesian Methods and Mixture Models (3 papers) and Obesity, Physical Activity, Diet (3 papers). Paul Blomstedt is often cited by papers focused on Birth, Development, and Health (5 papers), Bayesian Methods and Mixture Models (3 papers) and Obesity, Physical Activity, Diet (3 papers). Paul Blomstedt collaborates with scholars based in Finland, United Kingdom and United States. Paul Blomstedt's co-authors include Johan G. Eriksson, Eero Kajantie, Mia-Maria Perälä, Riikka Airaksinen, Panu Rantakokko, Hannu Kiviranta, Elena Moltchanova, Eero Kajantie, Satu Männistö and Clive Osmond and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Paul Blomstedt

20 papers receiving 509 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paul Blomstedt Finland 11 131 111 102 99 63 20 533
Thorsten Schulz Germany 17 119 0.9× 156 1.4× 170 1.7× 102 1.0× 82 1.3× 54 1.0k
Alireza Moslem Iran 15 117 0.9× 79 0.7× 139 1.4× 65 0.7× 83 1.3× 52 764
Bohyun Park South Korea 15 128 1.0× 44 0.4× 71 0.7× 85 0.9× 73 1.2× 49 545
Qiying Song China 12 62 0.5× 62 0.6× 92 0.9× 58 0.6× 48 0.8× 43 455
Lindsay N. Kohler United States 13 68 0.5× 125 1.1× 188 1.8× 64 0.6× 39 0.6× 35 656
Dana Müllerová Czechia 13 196 1.5× 276 2.5× 108 1.1× 41 0.4× 152 2.4× 37 755
Kylie K. Harrall United States 14 61 0.5× 59 0.5× 64 0.6× 98 1.0× 27 0.4× 37 526
Shin-Hye Kim South Korea 14 182 1.4× 69 0.6× 113 1.1× 61 0.6× 71 1.1× 51 604

Countries citing papers authored by Paul Blomstedt

Since Specialization
Citations

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

Fields of papers citing papers by Paul Blomstedt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Blomstedt

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Blomstedt. A scholar is included among the top collaborators of Paul Blomstedt 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 Paul Blomstedt. Paul Blomstedt 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
1.
Mesquita, Diego, Paul Blomstedt, & Samuel Kaski. (2019). Embarrassingly Parallel MCMC using Deep Invertible Transformations.. Research Explorer (The University of Manchester). 1244–1252. 1 indexed citations
2.
Wittwehr, Clemens, Paul Blomstedt, John Paul Gosling, et al.. (2019). Artificial Intelligence for chemical risk assessment. Computational Toxicology. 13. 100114–100114. 27 indexed citations
3.
Blomstedt, Paul, et al.. (2019). Scalable Bayesian Non-linear Matrix Completion. 3275–3281. 2 indexed citations
4.
Blomstedt, Paul, Ritabrata Dutta, Sohan Seth, Alvis Brāzma, & Samuel Kaski. (2016). Modelling-based experiment retrieval: a case study with gene expression clustering. Bioinformatics. 32(9). 1388–1394. 8 indexed citations
5.
Mäntyniemi, Samu, Rebecca Whitlock, Tommi Perälä, et al.. (2015). General state-space population dynamics model for Bayesian stock assessment. ICES Journal of Marine Science. 72(8). 2209–2222. 13 indexed citations
6.
Blomstedt, Paul, et al.. (2014). A Bayesian Predictive Model for Clustering Data of Mixed Discrete and Continuous Type. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(3). 489–498. 13 indexed citations
7.
Sandboge, Samuel, Mia-Maria Perälä, Minna K. Salonen, et al.. (2013). Early growth and non-alcoholic fatty liver disease in adulthood—the NAFLD liver fat score and equation applied on the Helsinki Birth Cohort Study. Annals of Medicine. 45(5-6). 430–437. 97 indexed citations
8.
Blomstedt, Paul & Jukka Corander. (2013). Posterior Predictive Comparisons for the Two-sample Problem. Communication in Statistics- Theory and Methods. 44(2). 376–389. 1 indexed citations
9.
Männistö, Satu, Marius Lahti‐Pulkkinen, Paul Blomstedt, et al.. (2013). Personality and Dietary Intake – Findings in the Helsinki Birth Cohort Study. PLoS ONE. 8(7). e68284–e68284. 59 indexed citations
10.
Blomstedt, Paul, et al.. (2013). Bayesian predictive modeling and comparison of oil samples. Journal of Chemometrics. 28(1). 52–59. 4 indexed citations
11.
Männistö, Satu, Paul Blomstedt, Elena Moltchanova, et al.. (2012). Leukocyte telomere length and its relation to food and nutrient intake in an elderly population. European Journal of Clinical Nutrition. 66(12). 1290–1294. 71 indexed citations
12.
Airaksinen, Riikka, Panu Rantakokko, Johan G. Eriksson, et al.. (2011). ASSOCIATION BETWEEN POP EXPOSURE AND TYPE 2 DIABETES IN THE HELSINKI BIRTH COHORT STUDY. ISEE Conference Abstracts. 2011(1). 1 indexed citations
13.
Sandboge, Samuel, Elena Moltchanova, Paul Blomstedt, et al.. (2011). Birth-weight and resting metabolic rate in adulthood — sex-specific differences. Annals of Medicine. 44(3). 296–303. 13 indexed citations
14.
Airaksinen, Riikka, Panu Rantakokko, Johan G. Eriksson, et al.. (2011). Association Between Type 2 Diabetes and Exposure to Persistent Organic Pollutants. Diabetes Care. 34(9). 1972–1979. 147 indexed citations
15.
Moroni, Rossana, Paul Blomstedt, L. Wilhelm, et al.. (2010). Statistical modelling of measurement errors in gas chromatographic analyses of blood alcohol content. Forensic Science International. 202(1-3). 71–74. 8 indexed citations
16.
Schreier, Nadja, Elena Moltchanova, Paul Blomstedt, Eero Kajantie, & Johan G. Eriksson. (2010). Prenatal exposure to wartime stress – long-term effect on coronary heart disease in later life. Annals of Medicine. 43(7). 555–561. 15 indexed citations
17.
Lammi, N., Paul Blomstedt, Elena Moltchanova, et al.. (2009). Perinatal risk factors in young adult‐onset type 1 and type 2 diabetes – a population‐based case‐control study. Acta Obstetricia Et Gynecologica Scandinavica. 88(4). 468–474. 10 indexed citations
18.
Lammi, N., Elena Moltchanova, Paul Blomstedt, et al.. (2009). Childhood BMI trajectories and the risk of developing young adult-onset diabetes. Diabetologia. 52(3). 408–414. 23 indexed citations
19.
Lammi, N., Elena Moltchanova, Paul Blomstedt, et al.. (2007). The effect of birth order and parental age on the risk of type 1 and 2 diabetes among young adults. Diabetologia. 50(12). 2433–2438. 16 indexed citations
20.

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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