Claudio Oliviero

2.2k total citations
56 papers, 1.6k citations indexed

About

Claudio Oliviero is a scholar working on Small Animals, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Claudio Oliviero has authored 56 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Small Animals, 28 papers in Animal Science and Zoology and 17 papers in Agronomy and Crop Science. Recurrent topics in Claudio Oliviero's work include Animal Behavior and Welfare Studies (40 papers), Animal Nutrition and Physiology (20 papers) and Reproductive Physiology in Livestock (8 papers). Claudio Oliviero is often cited by papers focused on Animal Behavior and Welfare Studies (40 papers), Animal Nutrition and Physiology (20 papers) and Reproductive Physiology in Livestock (8 papers). Claudio Oliviero collaborates with scholars based in Finland, Netherlands and Estonia. Claudio Oliviero's co-authors include Olli Peltoniemi, Anna Valros, Mari Heinonen, Stefan Björkman, Sami Junnikkala, Jinhyeon Yun, Outi Hälli, N.M. Soede, Satu Sankari and C. Farmer and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Animal Science.

In The Last Decade

Claudio Oliviero

54 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio Oliviero Finland 23 1.2k 1.0k 419 377 127 56 1.6k
Mari Lourdes Bernardi Brazil 25 1.2k 0.9× 986 1.0× 576 1.4× 483 1.3× 129 1.0× 146 2.0k
Annop Kunavongkrit Thailand 24 825 0.7× 727 0.7× 573 1.4× 457 1.2× 62 0.5× 64 1.6k
Ivo Wentz Brazil 24 1.1k 0.9× 922 0.9× 588 1.4× 464 1.2× 73 0.6× 132 1.8k
Yuzo Koketsu Japan 28 1.9k 1.6× 1.6k 1.5× 808 1.9× 883 2.3× 100 0.8× 128 2.4k
K.J. Plush Australia 15 600 0.5× 540 0.5× 183 0.4× 207 0.5× 108 0.9× 74 852
Olli Peltoniemi Finland 34 2.2k 1.8× 1.7k 1.7× 977 2.3× 758 2.0× 180 1.4× 121 3.0k
Fernando Pandolfo Bortolozzo Brazil 26 1.2k 1.0× 964 0.9× 670 1.6× 499 1.3× 103 0.8× 151 2.1k
Gary D. Dial United States 26 1.5k 1.3× 1.4k 1.4× 737 1.8× 783 2.1× 90 0.7× 73 2.2k
Padet Tummaruk Thailand 29 1.6k 1.3× 1.6k 1.5× 781 1.9× 710 1.9× 155 1.2× 198 2.9k
Roy N. Kirkwood Australia 28 1.3k 1.0× 1.1k 1.0× 729 1.7× 530 1.4× 315 2.5× 185 2.6k

Countries citing papers authored by Claudio Oliviero

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Oliviero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Oliviero

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Oliviero. A scholar is included among the top collaborators of Claudio Oliviero 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 Claudio Oliviero. Claudio Oliviero 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.
2.
Han, Tae-Hee, Stefan Björkman, N.M. Soede, Claudio Oliviero, & Olli Peltoniemi. (2021). IGF-1 concentrations after weaning in young sows fed different pre-mating diets are positively associated with piglet mean birth weight at subsequent farrowing. animal. 15(1). 100029–100029. 7 indexed citations
3.
Peltoniemi, Olli, Claudio Oliviero, Jinhyeon Yun, Alexander Grahofer, & Stefan Björkman. (2020). Management practices to optimize the parturition process in the hyperprolific sow. Journal of Animal Science. 98(Supplement_1). S96–S106. 44 indexed citations
4.
Peltoniemi, Olli, Claudio Oliviero, Jinhyeon Yun, Alexander Grahofer, & Stefan Björkman. (2020). Management practices to optimize the parturition process in the hyperprolific sow: Management practices to optimize the parturition process in the hyperprolific sow. Journal of Animal Science. 96–106. 1 indexed citations
5.
6.
Han, Tae-Hee, Stefan Björkman, Claudio Oliviero, & Olli Peltoniemi. (2018). Mammary gland biopsy does not affect colostrum yield of sows: a pilot study. 2 indexed citations
7.
Gröhn, Yrjö T., Päivi J. Rajala‐Schultz, Anna‐Maija Virtala, et al.. (2018). Sow removal in commercial herds: Patterns and animal level factors in Finland. Preventive Veterinary Medicine. 159. 30–39. 15 indexed citations
8.
Lassen, Brian, Peter Geldhof, Outi Hälli, et al.. (2018). Anti-Ascaris suum IgG antibodies in fattening pigs with different respiratory conditions. Veterinary Parasitology. 265. 85–90. 11 indexed citations
9.
Lassen, Brian, et al.. (2017). Effect of fenbendazole in water on pigs infected with Ascaris suum in finishing pigs under field conditions. Veterinary Parasitology. 237. 1–7. 8 indexed citations
10.
Björkman, Stefan, Claudio Oliviero, Päivi J. Rajala‐Schultz, N.M. Soede, & Olli Peltoniemi. (2017). The effect of litter size, parity and farrowing duration on placenta expulsion and retention in sows. Theriogenology. 92. 36–44. 68 indexed citations
11.
Hälli, Outi, Tiina Nokireki, Suvi Nykäsenoja, et al.. (2017). Etiology of acute respiratory disease in fattening pigs in Finland. Porcine Health Management. 3(1). 19–19. 21 indexed citations
12.
Peltoniemi, Olli, Stefan Björkman, Claudio Oliviero, & N.M. Soede. (2016). Positive effect of oxytocin on placenta expulsion. Socio-Environmental Systems Modeling. 1 indexed citations
13.
Junnikkala, Sami, et al.. (2016). Validation of Brix refractometer to estimate colostrum immunoglobulin G content and composition in the sow. animal. 10(10). 1728–1733. 40 indexed citations
14.
Oliviero, Claudio, et al.. (2015). Strategic use of anti-GnRH vaccine allowing selection of breeding boars without adverse effects on reproductive or production performances. Theriogenology. 85(3). 476–482. 10 indexed citations
15.
Peltoniemi, Olli, et al.. (2013). Effect of protein level in feed on the production traits and economy of immunocastrated boars. Reproduction in Domestic Animals. 48. 66–66. 3 indexed citations
16.
Oliviero, Claudio, et al.. (2013). Prolonged duration of farrowing is associated with subsequent decreased fertility in sows. Theriogenology. 79(7). 1095–1099. 49 indexed citations
17.
Oliviero, Claudio, et al.. (2012). Long duration of farrowing may be associated with subsequent follicles development in sows. Reproduction in Domestic Animals. 47. 1 indexed citations
18.
Tast, A., et al.. (2010). Fertility of Sows Fedad libitumwith a High Fibre Diet During Pregnancy. Reproduction in Domestic Animals. 45(6). 1008–1014. 12 indexed citations
19.
Oliviero, Claudio, Matti Pastell, Mari Heinonen, et al.. (2008). Using movement sensors to detect the onset of farrowing. Biosystems Engineering. 100(2). 281–285. 47 indexed citations
20.
Oliviero, Claudio, et al.. (2008). Feeding sows with high fibre diet around farrowing and early lactation: Impact on intestinal activity, energy balance related parameters and litter performance. Research in Veterinary Science. 86(2). 314–319. 104 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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