Silvana Mattiello

2.8k total citations
106 papers, 1.9k citations indexed

About

Silvana Mattiello is a scholar working on Small Animals, Animal Science and Zoology and Genetics. According to data from OpenAlex, Silvana Mattiello has authored 106 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Small Animals, 39 papers in Animal Science and Zoology and 30 papers in Genetics. Recurrent topics in Silvana Mattiello's work include Animal Behavior and Welfare Studies (54 papers), Effects of Environmental Stressors on Livestock (26 papers) and Human-Animal Interaction Studies (21 papers). Silvana Mattiello is often cited by papers focused on Animal Behavior and Welfare Studies (54 papers), Effects of Environmental Stressors on Livestock (26 papers) and Human-Animal Interaction Studies (21 papers). Silvana Mattiello collaborates with scholars based in Italy, Portugal and United Kingdom. Silvana Mattiello's co-authors include Monica Battini, S. Barbieri, Genaro C. Miranda‐de la Lama, George Stilwell, Ana Vieira, Eugenio Scanziani, Elisabetta Canali, V. Ferrante, M. Verga and Cláudia Russo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Journal of Animal Science.

In The Last Decade

Silvana Mattiello

102 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silvana Mattiello Italy 24 1.0k 731 663 403 261 106 1.9k
Scott T. Willard United States 27 385 0.4× 565 0.8× 431 0.7× 184 0.5× 470 1.8× 121 2.0k
Laureano Gallego Spain 33 372 0.4× 774 1.1× 743 1.1× 1.4k 3.4× 620 2.4× 114 2.9k
Eva Voslářová Czechia 23 559 0.5× 734 1.0× 233 0.4× 157 0.4× 105 0.4× 129 1.6k
Alison Hanlon Ireland 25 1.3k 1.3× 743 1.0× 680 1.0× 215 0.5× 576 2.2× 89 2.0k
C. McManus Brazil 24 385 0.4× 863 1.2× 695 1.0× 225 0.6× 594 2.3× 135 1.9k
Laura Boyle Ireland 34 2.5k 2.4× 1.9k 2.7× 842 1.3× 247 0.6× 1.1k 4.1× 159 3.3k
J. Conington United Kingdom 22 440 0.4× 483 0.7× 1.0k 1.6× 146 0.4× 673 2.6× 87 1.5k
David G. Hewitt United States 25 279 0.3× 95 0.1× 156 0.2× 1.3k 3.1× 288 1.1× 134 2.0k
J. P. Hanrahan Ireland 30 638 0.6× 630 0.9× 1.7k 2.6× 342 0.8× 1.3k 4.9× 140 3.6k
R.J. Love Australia 23 842 0.8× 435 0.6× 223 0.3× 301 0.7× 258 1.0× 57 1.6k

Countries citing papers authored by Silvana Mattiello

Since Specialization
Citations

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

Fields of papers citing papers by Silvana Mattiello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvana Mattiello

This figure shows the co-authorship network connecting the top 25 collaborators of Silvana Mattiello. A scholar is included among the top collaborators of Silvana Mattiello 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 Silvana Mattiello. Silvana Mattiello 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.
Mazzocchi, Chiara, et al.. (2025). Should I stay or should I go? Tie stalls or loose housing to improve dairy cow welfare. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 80(1). 17–30.
2.
Quatto, Piero, et al.. (2024). Evaluation of inter-observer reliability in the case of trichotomous and four-level animal-based welfare indicators with two observers. Italian Journal of Animal Science. 23(1). 938–960. 2 indexed citations
3.
Mattiello, Silvana, et al.. (2022). Effect of queen cell size on morphometric characteristics of queen honey bees (Apis mellifera ligustica). Italian Journal of Animal Science. 21(1). 532–538. 11 indexed citations
4.
Fliegerová, K., Silvana Mattiello, Jakub Mrázek, et al.. (2022). Host Species Affects Bacterial Evenness, but Not Diversity: Comparison of Fecal Bacteria of Cows and Goats Offered the Same Diet. Animals. 12(16). 2011–2011. 11 indexed citations
5.
Mattiello, Silvana, Monica Battini, Piero Quatto, et al.. (2021). Evaluation of Inter-Observer Reliability of Animal Welfare Indicators: Which Is the Best Index to Use?. Animals. 11(5). 1445–1445. 10 indexed citations
6.
Battini, Monica, et al.. (2020). Welfare Assessment on Pasture: A Review on Animal-Based Measures for Ruminants. Animals. 10(4). 609–609. 46 indexed citations
7.
Lopez, Alexander, M. Vasconi, Monica Battini, et al.. (2020). Intrinsic and Extrinsic Quality Attributes of Fresh and Semi-Hard Goat Cheese from Low- and High-Input Farming Systems. Animals. 10(9). 1567–1567. 1 indexed citations
8.
Prato‐Previde, Emanuela, Simona Cannas, C. Palestrini, et al.. (2020). What’s in a Meow? A Study on Human Classification and Interpretation of Domestic Cat Vocalizations. Animals. 10(12). 2390–2390. 24 indexed citations
9.
10.
Ntalampiras, Stavros, Luca A. Ludovico, Emanuela Prato Previde, et al.. (2019). Automatic Classification of Cat Vocalizations Emitted in Different Contexts. Animals. 9(8). 543–543. 14 indexed citations
11.
Montillo, Marta, Tanja Peric, Alberto Prandi, et al.. (2019). Analysis of 19 Minerals and Cortisol in Red Deer Hair in Two Different Areas of the Stelvio National Park: A Preliminary Study. Animals. 9(8). 492–492. 14 indexed citations
12.
Costa, Emanuela Dalla, Francesca Dai, Michela Minero, et al.. (2019). Text Mining Analysis to Evaluate Stakeholders’ Perception Regarding Welfare of Equines, Small Ruminants, and Turkeys. Animals. 9(5). 225–225. 8 indexed citations
13.
Mattiello, Silvana, Monica Battini, Giuseppe De Rosa, Fabio Napolitano, & Catherine M Dwyer. (2019). How Can We Assess Positive Welfare in Ruminants?. Animals. 9(10). 758–758. 78 indexed citations
14.
Battini, Monica, et al.. (2018). The Use of Qualitative Behaviour Assessment for the On-Farm Welfare Assessment of Dairy Goats. Animals. 8(7). 123–123. 22 indexed citations
15.
Mattiello, Silvana, Mariangela Caroprese, G. M. Crovetto, et al.. (2017). Typical dairy products in Africa from local animal resources. Italian Journal of Animal Science. 17(3). 740–754. 28 indexed citations
16.
Comin, A., et al.. (2016). Use of hair cortisol analysis for comparing population status in wild red deer (Cervus elaphus) living in areas with different characteristics. European Journal of Wildlife Research. 62(6). 713–723. 32 indexed citations
17.
Battini, Monica, Françoise Wemelsfelder, S. Barbieri, et al.. (2016). On-farm Qualitative Behaviour Assessment of dairy goats in different housing conditions. Applied Animal Behaviour Science. 180. 51–57. 61 indexed citations
18.
Battini, Monica, Tanja Peric, Ana Vieira, et al.. (2015). Hair coat condition: A valid and reliable indicator for on-farm welfare assessment in adult dairy goats. Small Ruminant Research. 123(2-3). 197–203. 29 indexed citations
19.
Ramanzin, Maurizio, A. Amici, C. Casoli, et al.. (2010). Meat from wild ungulates: ensuring quality and hygiene of an increasing re source. SHILAP Revista de lepidopterología. 124 indexed citations
20.
Verga, M., Elisabetta Canali, V. Ferrante, et al.. (2000). Provision of a solid supplement to veal calves reared in individual crate or group pen. 2. Behavioural, physiological and pathological indicators. 26(6). 243–252. 2 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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